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README.md

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+---
+license: cc-by-nc-4.0
+task_categories:
+- tabular-classification
+- tabular-regression
+- time-series-forecasting
+language:
+- en
+tags:
+- synthetic
+- healthcare
+- icu
+- vital-signs
+- continuous-monitoring
+- mimic-iv
+- eicu-crd
+- time-series
+- apache-ii
+- sofa
+- news2
+- qsofa
+- charlson
+- alarm-fatigue
+- joint-commission
+- iec-60601
+- ventilation
+- vasopressor
+- sepsis
+- early-warning-score
+- deterioration-prediction
+- signal-quality
+- monitoring-devices
+- philips-intellivue
+- ge-carescape
+- masimo
+- nihon-kohden
+pretty_name: HLT-009 Synthetic Continuous Vital Sign Monitoring Dataset (Sample Preview)
+size_categories:
+- 10K<n<100K
+---
+
+# HLT-009 — Synthetic Continuous Vital Sign Monitoring Dataset (Sample Preview)
+
+**A free, schema-identical preview of the full HLT-009 commercial product from [XpertSystems.ai](https://xpertsystems.ai).**
+
+A **fully synthetic** ICU continuous vital sign monitoring dataset combining 12-stream time-series vitals (HR/SpO2/RR/NBP/IBP/Temp/EtCO2/CVP/CO), alarm event logs with true/false labels, intervention logs (medication boluses, ventilator adjustments, code events), and 53-column episode-level summary data — calibrated to MIMIC-IV / eICU-CRD benchmarks with APACHE-II, SOFA, NEWS2, qSOFA, and CCI severity scoring.
+
+> ⚠️ **PRIVACY & SYNTHETIC NATURE**
+> Every record in this dataset is **100% synthetic**. **No real patient data, no PHI, no real medical device readings.** Population-level distributions match published MIMIC-IV / eICU-CRD / Drew et al. benchmarks but the episodes and waveforms are computationally generated.
+
+---
+
+## What's in this sample
+
+| File | Rows | Cols | Description |
+|---|---|---|---|
+| `vitals_timeseries.csv` | ~26,700 | 19 | One row per episode-timestep (5-min resolution). 12 vital streams + NEWS2 + qSOFA + artifact flag + 6h rolling features |
+| `alarm_events.csv` | ~170 | 15 | One row per alarm event. Type, priority (IEC 60601-1-8), true/false flag, false-alarm subtype, response time, override flag |
+| `interventions.csv` | ~15 | 8 | One row per clinical intervention (medication bolus, ventilator adjustment, code event, rapid response) |
+| `episode_summary.csv` | 25 | 53 | One row per episode. Demographics, APACHE-II, SOFA, CCI, ventilation/vasopressor/RRT flags, LOS, NEWS2 max/mean, deterioration label, mortality, 12 signal quality indices |
+
+**Total:** ~5.3 MB across 5 files.
+
+---
+
+## Schema highlights
+
+### `vitals_timeseries.csv` (19 columns, ~1,100 rows per episode at 5-min resolution)
+
+**Identity:** `episode_id`, `timestamp`
+
+**12 vital streams** (calibrated to MIMIC-IV physiological ranges):
+- **Cardiovascular:** `hr_bpm`, `nbp_sys_mmhg`, `nbp_dia_mmhg`, `nbp_map_mmhg`, `ibp_sys_mmhg`, `ibp_dia_mmhg`, `cvp_mmhg`, `cardiac_output_lpm`
+- **Respiratory:** `spo2_pct`, `rr_bpm`, `etco2_mmhg`
+- **Thermoregulation:** `temp_c`
+
+**Derived & quality:** `artifact_flag` (4% rate per timestep), `news2_score` (RCP NEWS2 computed at each step), `qsofa_score` (Sepsis-3 qSOFA), `news2_roll_max_4h`, `news2_rate_of_rise`
+
+### `alarm_events.csv` (15 columns)
+
+`alarm_id`, `episode_id`, `alarm_type` (18 types: HIGH_HR, LOW_HR, CRITICAL_LOW_HR, LOW_SPO2, CRITICAL_LOW_SPO2, HIGH_RR, APNEA, HIGH_SBP, LOW_SBP, LOW_MAP, HIGH_ETCO2, LOW_ETCO2, HIGH_CVP, LOW_CVP, HIGH_CO, LOW_CO, HIGH_IBP_SYS, LOW_IBP_SYS), `alarm_priority` (IEC 60601-1-8: LOW/MEDIUM/HIGH/CRITICAL), `alarm_onset_ts`, `alarm_duration_sec`, `true_alarm_flag`, `false_alarm_subtype` (Artifact / Motion / LeadOff / TechnicalError), `response_time_min`, `intervention_triggered`, `override_flag`, `limit_at_alarm_low`, `limit_at_alarm_high`, `alarm_cascade_id`, `shift` (Day/Evening/Night)
+
+### `interventions.csv` (8 columns)
+
+`intervention_id`, `episode_id`, `intervention_type` (MEDICATION_BOLUS / VENTILATOR_ADJUSTMENT / POSITION_CHANGE / PHYSICIAN_NOTIFICATION / RAPID_RESPONSE_ACTIVATION / CODE_EVENT / NURSING_ASSESSMENT), `intervention_ts`, `triggered_by_alarm`, `time_from_alarm_min`, `clinician_role`, `intervention_outcome`
+
+### `episode_summary.csv` (53 columns)
+
+**Identity & setting:** `episode_id`, `monitoring_setting` (ICU), `icu_unit_type` (MICU/SICU/CCU/Neuro ICU), `bed_id`, `admit_dt`, `discharge_dt`, `episode_duration_days`
+
+**Demographics & severity:** `age`, `sex`, `apache2_score` (Knaus 1985), `sofa_score` (Vincent 1996), `sofa_at_discharge`, `cci_score` (Charlson 1987), `primary_dx_group` (Sepsis/Respiratory Failure/Cardiac/Neuro/Post-Surgical/Trauma/Other), `trajectory` (Stable/Improving/Deteriorating/Oscillating)
+
+**Clinical interventions:** `ventilation_status`, `vasopressor_flag`, `rrt_flag` (renal replacement therapy), `has_arterial_line`, `has_central_line`, `has_pa_catheter`
+
+**Device metadata:** `monitor_manufacturer` (Philips IntelliVue MX800 / GE Carescape B850 / Masimo Root / Nihon Kohden BSM-6000), `rpm_device_type`, `lead_configuration` (3-lead / 5-lead / 12-lead), `device_uptime_pct`, `connectivity_drops`
+
+**Alarm fatigue metrics (Drew et al. 2014):** `true_alarm_rate`, `total_alarms`, `alarms_per_patient_day`, `actionable_alarm_rate`, `alarm_override_rate`, `median_response_time_min`, `alarm_limit_modification_count`, `alarm_cascade_count`, `fatigue_index_score`
+
+**Early warning & outcomes:** `news2_max`, `news2_mean`, `qsofa_max`, `deterioration_6h_label`, `in_hospital_mortality`, `readmission_30d`, `rapid_response_event`
+
+**Signal Quality Indices (SQI):** 12 columns `sqi_*` — one per vital stream
+
+---
+
+## Calibration source story
+
+The full HLT-009 generator anchors all distributions to authoritative critical care references:
+
+- **MIMIC-IV (Johnson et al. Scientific Data 2023)** — ICU vital signs benchmark, LOS Weibull(1.4, 5.2), severity distributions
+- **eICU-CRD (Pollard et al. Scientific Data 2018)** — Multi-center ICU database, ventilation/vasopressor rates
+- **APACHE-II (Knaus et al. Crit Care Med 1985)** — Acute Physiology and Chronic Health Evaluation
+- **SOFA (Vincent et al. Intensive Care Med 1996)** — Sequential Organ Failure Assessment
+- **NEWS2 (Royal College of Physicians 2017)** — National Early Warning Score 2
+- **qSOFA (Singer et al. JAMA 2016)** — Sepsis-3 Quick SOFA
+- **CCI (Charlson et al. J Chron Dis 1987)** — Charlson Comorbidity Index
+- **Drew et al. (2014) PLoS ONE** — Alarm fatigue benchmark (187 alarms/bed/day)
+- **Joint Commission Sentinel Event Alert 50 (2013)** — Alarm safety standards
+- **Wunsch et al. (2010) JAMA** — US ICU mechanical ventilation prevalence
+- **IEC 60601-1-8** — Medical electrical equipment alarm priority standard
+
+### Sample-scale validation scorecard
+
+| Metric | Observed | Target | Tolerance | Status | Source |
+|---|---|---|---|---|---|
+| Mean APACHE-II score | 11.6 | 12.0 | ±4.0 | ✅ PASS | Knaus et al. (1985) / MIMIC-IV |
+| Mean SOFA score | 3.1 | 3.5 | ±2.0 | ✅ PASS | Vincent et al. (1996) |
+| Median LOS (days) | 2.99 | 4.0 | ±2.0 | ✅ PASS | MIMIC-IV (Johnson et al. 2023) |
+| Ventilation rate | 56% | 40% | ±20% | ✅ PASS | Wunsch et al. (2010) |
+| Mean NEWS2 score | 4.29 | 4.0 | ±1.5 | ✅ PASS | RCP NEWS2 (2017) |
+| True alarm rate | 17.1% | 20% | ±10% | ✅ PASS | Joint Commission SE Alert 50 |
+| Artifact flag rate | 3.85% | 4% | ±2% | ✅ PASS | Wong et al. (2018) ICU data quality |
+| Vital stream count | 12 | 12 | — | ✅ PASS | Schema coverage |
+| Alarm priority diversity | 2 | ≥2 | — | ✅ PASS | IEC 60601-1-8 |
+| Timeseries temporal monotonicity | 100% | 100% | — | ✅ PASS | Data hygiene |
+
+**Grade: A+ (100/100) — verified across 6 random seeds (42, 7, 123, 2024, 99, 1).**
+
+---
+
+## Loading examples
+
+### Pandas — explore the episode summary
+
+```python
+import pandas as pd
+
+summary = pd.read_csv("episode_summary.csv")
+vitals = pd.read_csv("vitals_timeseries.csv", parse_dates=["timestamp"])
+alarms = pd.read_csv("alarm_events.csv", parse_dates=["alarm_onset_ts"])
+
+# Severity by primary diagnosis
+print(summary.groupby("primary_dx_group")[
+    ["apache2_score", "sofa_score", "episode_duration_days"]
+].mean().round(2))
+
+# Alarm volume by ICU unit
+print(summary.groupby("icu_unit_type")["alarms_per_patient_day"].mean())
+```
+
+### Hugging Face Datasets
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("xpertsystems/hlt009-sample", data_files={
+    "vitals":      "vitals_timeseries.csv",
+    "alarms":      "alarm_events.csv",
+    "interventions": "interventions.csv",
+    "summary":     "episode_summary.csv",
+})
+print(ds)
+```
+
+### Vital sign trajectory plot
+
+```python
+import pandas as pd
+import matplotlib.pyplot as plt
+
+vitals = pd.read_csv("vitals_timeseries.csv", parse_dates=["timestamp"])
+
+# Plot HR + SpO2 trajectory for one episode
+ep_id = vitals["episode_id"].iloc[0]
+ep = vitals[vitals["episode_id"] == ep_id].sort_values("timestamp")
+
+fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(10, 6), sharex=True)
+ax1.plot(ep["timestamp"], ep["hr_bpm"], color="#c44")
+ax1.set_ylabel("HR (bpm)")
+ax1.axhline(120, ls="--", color="grey", alpha=0.5)  # HIGH_HR threshold
+ax2.plot(ep["timestamp"], ep["spo2_pct"], color="#4488ff")
+ax2.set_ylabel("SpO2 (%)")
+ax2.axhline(90, ls="--", color="grey", alpha=0.5)   # LOW_SPO2 threshold
+ax2.set_xlabel("Time")
+plt.suptitle(f"Vitals for episode {ep_id}")
+plt.show()
+```
+
+### Deterioration prediction baseline
+
+```python
+import pandas as pd
+import numpy as np
+from sklearn.ensemble import GradientBoostingClassifier
+from sklearn.model_selection import train_test_split
+
+vitals = pd.read_csv("vitals_timeseries.csv", parse_dates=["timestamp"])
+summary = pd.read_csv("episode_summary.csv")
+
+# Build a feature matrix at episode level from first-4h vitals
+first_4h_features = []
+for ep_id, ep in vitals.groupby("episode_id"):
+    ep_sorted = ep.sort_values("timestamp")
+    # Use first 48 timesteps = first 4 hours at 5-min resolution
+    first_4h = ep_sorted.head(48)
+    if len(first_4h) >= 12:
+        first_4h_features.append({
+            "episode_id": ep_id,
+            "hr_mean": first_4h["hr_bpm"].mean(),
+            "hr_std":  first_4h["hr_bpm"].std(),
+            "spo2_min": first_4h["spo2_pct"].min(),
+            "rr_max":   first_4h["rr_bpm"].max(),
+            "news2_max_first4h": first_4h["news2_score"].max(),
+            "news2_mean_first4h": first_4h["news2_score"].mean(),
+        })
+
+feats = pd.DataFrame(first_4h_features).merge(
+    summary[["episode_id", "apache2_score", "sofa_score", "cci_score",
+             "ventilation_status", "deterioration_6h_label"]],
+    on="episode_id"
+)
+
+X = feats.drop(["episode_id", "deterioration_6h_label"], axis=1).fillna(0)
+y = feats["deterioration_6h_label"]
+if y.nunique() > 1:
+    Xtr, Xte, ytr, yte = train_test_split(X, y, test_size=0.3, random_state=42)
+    m = GradientBoostingClassifier(random_state=42).fit(Xtr, ytr)
+    print(f"6h deterioration AUC: {m.score(Xte, yte):.3f}")
+```
+
+### Alarm fatigue analysis
+
+```python
+import pandas as pd
+
+summary = pd.read_csv("episode_summary.csv")
+alarms = pd.read_csv("alarm_events.csv")
+
+# Fatigue index by trajectory
+print(summary.groupby("trajectory")[
+    ["alarms_per_patient_day", "true_alarm_rate", "alarm_override_rate",
+     "fatigue_index_score"]
+].mean().round(3))
+
+# False alarm subtypes
+print(alarms[alarms["true_alarm_flag"] == 0]["false_alarm_subtype"]
+      .value_counts())
+```
+
+---
+
+## Suggested use cases
+
+- **6-hour deterioration prediction** — predict `deterioration_6h_label` from first-N-hour vitals + summary features
+- **Alarm fatigue research** — analyze actionable vs nuisance alarm patterns, build false-alarm classifiers
+- **Sepsis prediction** — train models on vital trajectories + qSOFA + NEWS2 trends
+- **ICU mortality risk** — predict `in_hospital_mortality` from baseline severity + early vital features
+- **Mechanical ventilation prediction** — predict ventilation onset from vital trajectories
+- **NEWS2 / qSOFA validation** — test calibration of early warning scores in ML-augmented pipelines
+- **Signal quality / artifact classification** — train artifact detectors using `sqi_*` and `artifact_flag` labels
+- **Time-series anomaly detection** — vital sign outlier detection, change-point detection
+- **Multi-stream time-series modeling** — joint LSTM/Transformer modeling on 12 simultaneous vital streams
+- **Alarm cascade analysis** — alarm propagation and crash-cart event prediction
+- **Healthcare AI MLOps** — pipeline testing for streaming ICU data, real-time inference rehearsal
+- **Educational use in critical care medicine and biomedical engineering**
+
+---
+
+## Sample vs. full product
+
+| Aspect | This sample | Full HLT-009 product |
+|---|---|---|
+| Episodes | 25 | 10,000+ (default) up to 1M |
+| Settings | ICU only | mixed (ICU + RPM) configurable |
+| Time resolution | 5-min | 1-min or 5-min |
+| Schema | identical | identical |
+| Calibration | identical | identical |
+| License | CC-BY-NC-4.0 | Commercial license |
+
+The full product unlocks:
+- **Up to 1M episodes** for production-grade deterioration / sepsis / alarm fatigue model training
+- **RPM (Remote Patient Monitoring)** episodes with multi-week outpatient monitoring (7-91 days)
+- **1-min resolution** for high-frequency analysis
+- **Mixed ICU+RPM** for cross-care-setting model training
+- Commercial use rights
+
+**Contact us for the full product.**
+
+---
+
+## Limitations & honest disclosures
+
+- **Sample is preview-only.** 25 episodes × ~27K timesteps is enough to demonstrate schema and calibration, but is **not statistically sufficient** for training deterioration prediction or sepsis classifiers. Use the full product (10K+ episodes) for serious ML work.
+- **ICU-only in this sample, not mixed setting.** RPM episodes average 7-91 days × 288 timesteps/day = ~14K rows each, which would push the sample past 20 MB. The full product supports mixed ICU + RPM cohorts.
+- **Sample is on the larger side (5.3 MB)** because continuous vital sign data has natural fan-out — each multi-day ICU episode produces ~1,000-3,000 timesteps at 5-min resolution. The full product scales linearly with episode count.
+- **Alarm priority diversity limited at this sample scale.** The schema supports 4 priority levels (LOW/MEDIUM/HIGH/CRITICAL per IEC 60601-1-8), but at n=25 only MEDIUM+HIGH alarm types fire reliably. CRITICAL alarms (CRITICAL_LOW_HR, APNEA, CRITICAL_LOW_SPO2) require extreme physiology that's rare in stable cohorts. LOW priority alarms (HIGH_CVP, HIGH_CO) are also rare. The full product produces all 4 levels at scale.
+- **Vital signs are simulated, not real waveform data.** Each timestep value is sampled from physiologically-realistic distributions calibrated to MIMIC-IV ranges. This is appropriate for ML algorithm development, but does NOT capture the full beat-to-beat waveform variability of real continuous monitoring. Real waveforms exhibit autocorrelation, R-R interval variability, and respiratory modulation that this synthetic data does not fully reproduce.
+- **5-minute resolution, not beat-to-beat.** The full product supports 1-min resolution; production ICU monitors sample at 125-500 Hz (waveform-level). For HRV / arrhythmia / respiratory waveform analysis, real waveform data is required.
+- **Mortality rate runs slightly low at this sample size (4-16% vs MIMIC-IV target 8-15%).** At n=25 episodes this is 1-4 deaths total, so seed-to-seed variance is high. The full product hits 10-12% mortality reliably.
+- **Ventilation rate runs slightly high (~50% vs target 30-45%).** This is a generator parameter (`is_ventilated = rng.random() < 0.42`) — the actual draw varies seed-to-seed.
+- **Synthetic, not derived from real ICU records.** Vital sign distributions, alarm patterns, and severity scores follow published critical care references but do NOT reflect any specific real patient cohort.
+
+---
+
+## Ethical use guidance
+
+This dataset is designed for:
+- ICU deterioration prediction methodology development
+- Alarm fatigue research and false-alarm classifier development
+- Sepsis / NEWS2 / qSOFA validation methodology
+- Continuous monitoring AI pipeline testing
+- Educational use in critical care medicine and biomedical informatics
+- Healthcare AI pretraining for time-series clinical prediction
+
+This dataset is **not appropriate for**:
+- Making clinical decisions about real patients
+- FDA-regulated AI/SaMD device training (use real de-identified clinical data)
+- Real-time alarm system tuning without separate validation
+- Discriminatory analyses targeting protected demographic groups
+
+---
+
+## Companion datasets in the Healthcare vertical
+
+- [HLT-001](https://huggingface.co/datasets/xpertsystems/hlt001-sample) — Synthetic Patient Population (5K patients × 79 cols, CDC/NHANES calibrated)
+- [HLT-002](https://huggingface.co/datasets/xpertsystems/hlt002-sample) — Synthetic EHR Dataset (4K encounters + FHIR R4 bundles)
+- [HLT-003](https://huggingface.co/datasets/xpertsystems/hlt003-sample) — Synthetic Clinical Trial Dataset (3 endpoint types + power sweep)
+- [HLT-004](https://huggingface.co/datasets/xpertsystems/hlt004-sample) — Synthetic Disease Progression Dataset (NSCLC + Heart Failure longitudinal)
+- [HLT-005](https://huggingface.co/datasets/xpertsystems/hlt005-sample) — Synthetic Hospital Admission Dataset (5K admissions + bed utilization)
+- [HLT-006](https://huggingface.co/datasets/xpertsystems/hlt006-sample) — Synthetic Medical Imaging Dataset (1K studies + COCO annotations + reports)
+- [HLT-007](https://huggingface.co/datasets/xpertsystems/hlt007-sample) — Synthetic Drug Response Dataset (3K patient-treatments × 25 drug classes + PGx + PK)
+- [HLT-008](https://huggingface.co/datasets/xpertsystems/hlt008-sample) — Synthetic Healthcare Claims Dataset (500 members + 30K claims + fraud labels)
+- **HLT-009** — Synthetic Continuous Vital Sign Monitoring Dataset (you are here)
+
+Use **HLT-001 through HLT-009 together** for the full healthcare ML data stack: population → EHR → trials → progression → hospital ops → imaging → pharmacology → claims → continuous monitoring.
+
+---
+
+## Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@dataset{xpertsystems_hlt009_sample_2026,
+  author       = {XpertSystems.ai},
+  title        = {HLT-009 Synthetic Continuous Vital Sign Monitoring Dataset (Sample Preview)},
+  year         = 2026,
+  publisher    = {Hugging Face},
+  url          = {https://huggingface.co/datasets/xpertsystems/hlt009-sample}
+}
+```
+
+---
+
+## Contact
+
+- **Web:** [https://xpertsystems.ai](https://xpertsystems.ai)
+- **Email:** [pradeep@xpertsystems.ai](mailto:pradeep@xpertsystems.ai)
+- **Full product catalog:** Cybersecurity, Insurance & Risk, Materials & Energy, Oil & Gas, Healthcare, and more
+
+**Sample License:** CC-BY-NC-4.0 (Creative Commons Attribution-NonCommercial 4.0)
+**Full product License:** Commercial — please contact for pricing.

alarm_events.csv

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+alarm_id,episode_id,alarm_type,alarm_priority,alarm_onset_ts,alarm_duration_sec,true_alarm_flag,false_alarm_subtype,response_time_min,intervention_triggered,override_flag,limit_at_alarm_low,limit_at_alarm_high,alarm_cascade_id,shift
+ALM-EP-D13-00000,EP-D13DFE331D,LOW_SPO2,HIGH,2023-09-19T00:00:00.000000,900,0,inappropriate_threshold,19.66,0,0,90.0,,0,Night
+ALM-EP-D13-00001,EP-D13DFE331D,LOW_SPO2,HIGH,2023-09-19T01:25:00.000000,300,1,,8.86,1,0,90.0,,0,Night
+ALM-EP-D13-00002,EP-D13DFE331D,LOW_SPO2,HIGH,2023-09-19T02:15:00.000000,240,0,inappropriate_threshold,153.02,0,0,90.0,,0,Night
+ALM-EP-D13-00003,EP-D13DFE331D,LOW_SPO2,HIGH,2023-09-19T02:55:00.000000,600,0,signal_quality_failure,114.95,0,1,90.0,,0,Night
+ALM-EP-D13-00004,EP-D13DFE331D,LOW_SPO2,HIGH,2023-09-19T04:10:00.000000,360,1,,11.44,1,0,90.0,,1,Night
+ALM-EP-D13-00005,EP-D13DFE331D,LOW_SPO2,HIGH,2023-09-19T04:50:00.000000,900,0,inappropriate_threshold,65.21,0,1,90.0,,1,Night
+ALM-EP-D13-00006,EP-D13DFE331D,LOW_SPO2,HIGH,2023-09-19T06:30:00.000000,360,0,self_correcting_transient,69.36,0,0,90.0,,1,Night
+ALM-EP-D13-00007,EP-D13DFE331D,LOW_SPO2,HIGH,2023-09-19T09:10:00.000000,780,0,self_correcting_transient,10.82,0,0,90.0,,1,Day
+ALM-EP-D13-00008,EP-D13DFE331D,LOW_SPO2,HIGH,2023-09-19T12:05:00.000000,180,1,,6.67,1,0,90.0,,2,Day
+ALM-EP-D13-00009,EP-D13DFE331D,LOW_SPO2,HIGH,2023-09-19T12:30:00.000000,180,1,,5.71,1,0,90.0,,2,Day
+ALM-EP-D13-00010,EP-D13DFE331D,LOW_SPO2,HIGH,2023-09-19T12:50:00.000000,120,1,,12.62,1,0,90.0,,2,Day
+ALM-EP-D13-00011,EP-D13DFE331D,LOW_SPO2,HIGH,2023-09-19T14:20:00.000000,180,1,,18.93,1,0,90.0,,2,Day
+ALM-EP-D13-00012,EP-D13DFE331D,LOW_SPO2,HIGH,2023-09-19T14:40:00.000000,180,0,self_correcting_transient,12.9,0,1,90.0,,3,Day
+ALM-EP-D13-00013,EP-D13DFE331D,LOW_SPO2,HIGH,2023-09-19T15:15:00.000000,120,0,signal_quality_failure,25.29,0,0,90.0,,3,Evening
+ALM-EP-D13-00014,EP-D13DFE331D,LOW_SPO2,HIGH,2023-09-19T16:20:00.000000,480,0,threshold_crossing_artifact,39.66,0,1,90.0,,3,Evening
+ALM-EP-D13-00015,EP-D13DFE331D,LOW_SPO2,HIGH,2023-09-19T19:15:00.000000,180,0,signal_quality_failure,29.07,0,1,90.0,,3,Evening
+ALM-EP-D13-00016,EP-D13DFE331D,LOW_SPO2,HIGH,2023-09-19T20:10:00.000000,120,1,,10.58,0,0,90.0,,4,Evening
+ALM-EP-D13-00017,EP-D13DFE331D,LOW_SPO2,HIGH,2023-09-19T22:15:00.000000,240,0,threshold_crossing_artifact,24.34,0,0,90.0,,4,Evening
+ALM-EP-D13-00018,EP-D13DFE331D,HIGH_RR,MEDIUM,2023-09-19T00:00:00.000000,180,0,threshold_crossing_artifact,33.81,0,0,,30.0,4,Night
+ALM-EP-D13-00019,EP-D13DFE331D,HIGH_RR,MEDIUM,2023-09-19T00:20:00.000000,120,1,,8.06,1,0,,30.0,4,Night
+ALM-EP-8B3-00000,EP-8B3E27E8FF,HIGH_HR,MEDIUM,2022-03-22T00:00:00.000000,720,0,signal_quality_failure,111.5,0,0,,120.0,0,Night
+ALM-EP-8B3-00001,EP-8B3E27E8FF,HIGH_HR,MEDIUM,2022-03-22T01:45:00.000000,120,0,self_correcting_transient,37.03,0,0,,120.0,0,Night
+ALM-EP-8B3-00002,EP-8B3E27E8FF,HIGH_HR,MEDIUM,2022-03-22T03:15:00.000000,120,0,threshold_crossing_artifact,62.31,0,1,,120.0,0,Night
+ALM-EP-8B3-00003,EP-8B3E27E8FF,HIGH_HR,MEDIUM,2022-03-22T05:35:00.000000,180,1,,6.74,1,0,,120.0,0,Night
+ALM-EP-8B3-00004,EP-8B3E27E8FF,HIGH_HR,MEDIUM,2022-03-22T06:50:00.000000,180,0,threshold_crossing_artifact,3.41,0,1,,120.0,1,Night
+ALM-EP-DCB-00000,EP-DCBBB7676F,HIGH_HR,MEDIUM,2022-09-04T01:10:00.000000,360,0,signal_quality_failure,48.97,0,0,,120.0,0,Night
+ALM-EP-DCB-00001,EP-DCBBB7676F,HIGH_HR,MEDIUM,2022-09-04T16:45:00.000000,1140,0,self_correcting_transient,65.3,0,0,,120.0,0,Evening
+ALM-EP-DCB-00002,EP-DCBBB7676F,HIGH_HR,MEDIUM,2022-09-04T22:35:00.000000,480,0,inappropriate_threshold,8.58,0,0,,120.0,0,Evening
+ALM-EP-DCB-00003,EP-DCBBB7676F,HIGH_HR,MEDIUM,2022-09-04T23:30:00.000000,540,0,inappropriate_threshold,114.06,0,0,,120.0,0,Night
+ALM-EP-DCB-00004,EP-DCBBB7676F,HIGH_HR,MEDIUM,2022-09-05T00:20:00.000000,1140,0,inappropriate_threshold,6.9,0,1,,120.0,1,Night
+ALM-EP-971-00000,EP-971E130D02,LOW_CVP,MEDIUM,2022-05-22T00:00:00.000000,480,0,self_correcting_transient,9.74,0,0,2.0,,0,Night
+ALM-EP-971-00001,EP-971E130D02,LOW_CVP,MEDIUM,2022-05-22T00:45:00.000000,180,0,signal_quality_failure,25.74,0,1,2.0,,0,Night
+ALM-EP-793-00000,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-19T01:25:00.000000,240,0,threshold_crossing_artifact,148.71,0,0,,120.0,0,Night
+ALM-EP-793-00001,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-19T01:55:00.000000,300,0,signal_quality_failure,45.09,0,1,,120.0,0,Night
+ALM-EP-793-00002,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-19T02:50:00.000000,120,0,signal_quality_failure,95.43,0,1,,120.0,0,Night
+ALM-EP-793-00003,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-19T07:20:00.000000,120,0,self_correcting_transient,13.12,0,1,,120.0,0,Day
+ALM-EP-793-00004,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-19T11:25:00.000000,780,0,inappropriate_threshold,30.12,0,1,,120.0,1,Day
+ALM-EP-793-00005,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-19T13:40:00.000000,240,0,inappropriate_threshold,8.4,0,0,,120.0,1,Day
+ALM-EP-793-00006,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-19T15:25:00.000000,240,0,threshold_crossing_artifact,58.39,0,0,,120.0,1,Evening
+ALM-EP-793-00007,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-19T16:00:00.000000,120,0,self_correcting_transient,83.97,0,0,,120.0,1,Evening
+ALM-EP-793-00008,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-19T16:40:00.000000,1680,0,self_correcting_transient,6.77,0,0,,120.0,2,Evening
+ALM-EP-793-00009,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-19T19:10:00.000000,840,0,self_correcting_transient,12.33,0,1,,120.0,2,Evening
+ALM-EP-793-00010,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-19T20:30:00.000000,660,0,threshold_crossing_artifact,7.24,0,1,,120.0,2,Evening
+ALM-EP-793-00011,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-20T01:05:00.000000,900,0,threshold_crossing_artifact,29.02,0,1,,120.0,2,Night
+ALM-EP-793-00012,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-20T02:35:00.000000,360,0,threshold_crossing_artifact,88.67,0,0,,120.0,3,Night
+ALM-EP-793-00013,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-20T03:25:00.000000,960,0,inappropriate_threshold,7.05,0,0,,120.0,3,Night
+ALM-EP-793-00014,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-20T05:00:00.000000,300,0,inappropriate_threshold,16.13,0,0,,120.0,3,Night
+ALM-EP-793-00015,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-20T05:35:00.000000,780,0,signal_quality_failure,10.23,0,0,,120.0,3,Night
+ALM-EP-793-00016,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-20T08:50:00.000000,180,1,,10.81,1,0,,120.0,4,Day
+ALM-EP-793-00017,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-20T10:00:00.000000,1320,0,inappropriate_threshold,22.97,0,0,,120.0,4,Day
+ALM-EP-793-00018,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-20T12:15:00.000000,240,0,signal_quality_failure,71.44,0,0,,120.0,4,Day
+ALM-EP-793-00019,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-20T12:40:00.000000,120,0,signal_quality_failure,147.92,0,1,,120.0,4,Day
+ALM-EP-793-00020,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-20T13:10:00.000000,3600,1,,6.44,1,0,,120.0,5,Day
+ALM-EP-793-00021,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-20T19:00:00.000000,1140,0,threshold_crossing_artifact,28.45,0,1,,120.0,5,Evening
+ALM-EP-793-00022,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-20T20:40:00.000000,120,0,signal_quality_failure,93.56,0,0,,120.0,5,Evening
+ALM-EP-793-00023,EP-79322830C4,HIGH_HR,MEDIUM,2023-04-20T21:55:00.000000,1560,0,signal_quality_failure,11.95,0,0,,120.0,5,Evening
+ALM-EP-D05-00000,EP-D056438DEB,LOW_SPO2,HIGH,2023-08-09T10:25:00.000000,480,0,threshold_crossing_artifact,38.69,0,1,90.0,,0,Day
+ALM-EP-658-00000,EP-65877E4E4E,LOW_SPO2,HIGH,2023-04-06T01:55:00.000000,120,1,,4.11,1,0,90.0,,0,Night
+ALM-EP-658-00001,EP-65877E4E4E,HIGH_RR,MEDIUM,2023-04-06T00:00:00.000000,120,0,inappropriate_threshold,600.0,0,0,,30.0,0,Night
+ALM-EP-423-00000,EP-4236ED04E8,HIGH_HR,MEDIUM,2023-05-07T23:50:00.000000,420,0,inappropriate_threshold,22.57,0,0,,120.0,0,Night
+ALM-EP-423-00001,EP-4236ED04E8,HIGH_HR,MEDIUM,2023-05-08T00:30:00.000000,240,0,self_correcting_transient,26.31,0,0,,120.0,0,Night
+ALM-EP-BF4-00000,EP-BF4DA2337D,HIGH_HR,MEDIUM,2022-03-19T15:20:00.000000,1380,0,inappropriate_threshold,30.31,0,0,,120.0,0,Evening
+ALM-EP-BF4-00001,EP-BF4DA2337D,HIGH_HR,MEDIUM,2022-03-19T21:15:00.000000,1980,0,signal_quality_failure,68.0,0,0,,120.0,0,Evening
+ALM-EP-BF4-00002,EP-BF4DA2337D,HIGH_HR,MEDIUM,2022-03-20T00:05:00.000000,2100,0,self_correcting_transient,14.55,0,0,,120.0,0,Night
+ALM-EP-BF4-00003,EP-BF4DA2337D,HIGH_HR,MEDIUM,2022-03-20T03:05:00.000000,780,0,threshold_crossing_artifact,57.07,0,0,,120.0,0,Night
+ALM-EP-BF4-00004,EP-BF4DA2337D,HIGH_HR,MEDIUM,2022-03-20T04:25:00.000000,240,0,inappropriate_threshold,2.1,0,1,,120.0,1,Night
+ALM-EP-BF4-00005,EP-BF4DA2337D,HIGH_HR,MEDIUM,2022-03-20T06:05:00.000000,120,0,threshold_crossing_artifact,29.45,0,0,,120.0,1,Night
+ALM-EP-BF4-00006,EP-BF4DA2337D,HIGH_HR,MEDIUM,2022-03-20T07:40:00.000000,480,0,signal_quality_failure,48.09,0,1,,120.0,1,Day
+ALM-EP-BF4-00007,EP-BF4DA2337D,HIGH_HR,MEDIUM,2022-03-20T08:25:00.000000,360,0,threshold_crossing_artifact,250.68,0,1,,120.0,1,Day
+ALM-EP-BF4-00008,EP-BF4DA2337D,HIGH_HR,MEDIUM,2022-03-20T09:05:00.000000,300,1,,15.85,0,0,,120.0,2,Day
+ALM-EP-BF4-00009,EP-BF4DA2337D,HIGH_HR,MEDIUM,2022-03-20T09:40:00.000000,660,0,signal_quality_failure,19.36,0,1,,120.0,2,Day
+ALM-EP-BF4-00010,EP-BF4DA2337D,HIGH_HR,MEDIUM,2022-03-20T10:40:00.000000,240,0,self_correcting_transient,14.54,0,1,,120.0,2,Day
+ALM-EP-BF4-00011,EP-BF4DA2337D,HIGH_HR,MEDIUM,2022-03-20T11:05:00.000000,840,0,signal_quality_failure,35.51,0,1,,120.0,2,Day
+ALM-EP-BF4-00012,EP-BF4DA2337D,HIGH_HR,MEDIUM,2022-03-20T12:30:00.000000,9900,0,inappropriate_threshold,2.78,0,1,,120.0,3,Day
+ALM-EP-BF4-00013,EP-BF4DA2337D,HIGH_HR,MEDIUM,2022-03-21T02:20:00.000000,120,0,threshold_crossing_artifact,23.52,0,1,,120.0,3,Night
+ALM-EP-BF4-00014,EP-BF4DA2337D,HIGH_HR,MEDIUM,2022-03-21T02:40:00.000000,120,0,inappropriate_threshold,317.4,0,0,,120.0,3,Night
+ALM-EP-BF4-00015,EP-BF4DA2337D,HIGH_HR,MEDIUM,2022-03-21T02:55:00.000000,120,0,self_correcting_transient,266.74,0,0,,120.0,3,Night
+ALM-EP-BF4-00016,EP-BF4DA2337D,LOW_SPO2,HIGH,2022-03-20T13:00:00.000000,240,0,inappropriate_threshold,49.61,0,1,90.0,,4,Day
+ALM-EP-BF4-00017,EP-BF4DA2337D,LOW_SPO2,HIGH,2022-03-21T01:15:00.000000,120,0,threshold_crossing_artifact,24.47,0,1,90.0,,4,Night
+ALM-EP-BF4-00018,EP-BF4DA2337D,LOW_SPO2,HIGH,2022-03-21T02:50:00.000000,180,1,,5.01,0,1,90.0,,4,Night
+ALM-EP-BF4-00019,EP-BF4DA2337D,LOW_SPO2,HIGH,2022-03-21T07:50:00.000000,540,0,signal_quality_failure,49.51,0,0,90.0,,4,Day
+ALM-EP-BF4-00020,EP-BF4DA2337D,LOW_SPO2,HIGH,2022-03-21T08:55:00.000000,240,0,inappropriate_threshold,5.08,0,0,90.0,,5,Day
+ALM-EP-BF4-00021,EP-BF4DA2337D,LOW_SPO2,HIGH,2022-03-21T12:10:00.000000,480,0,self_correcting_transient,78.06,0,1,90.0,,5,Day
+ALM-EP-8B1-00000,EP-8B16A5A004,LOW_SPO2,HIGH,2022-10-03T00:00:00.000000,180,0,threshold_crossing_artifact,70.14,0,0,90.0,,0,Night
+ALM-EP-BF4-00000,EP-BF4D047EF9,LOW_SPO2,HIGH,2022-04-12T00:00:00.000000,120,0,threshold_crossing_artifact,63.8,0,1,90.0,,0,Night
+ALM-EP-009-00000,EP-009F4173A4,HIGH_HR,MEDIUM,2023-09-01T04:10:00.000000,120,0,threshold_crossing_artifact,57.05,0,1,,120.0,0,Night
+ALM-EP-009-00001,EP-009F4173A4,LOW_SPO2,HIGH,2023-08-30T08:40:00.000000,480,0,self_correcting_transient,19.02,0,1,90.0,,0,Day
+ALM-EP-009-00002,EP-009F4173A4,LOW_SPO2,HIGH,2023-08-30T09:25:00.000000,180,0,self_correcting_transient,21.6,0,1,90.0,,0,Day
+ALM-EP-009-00003,EP-009F4173A4,LOW_SPO2,HIGH,2023-08-30T09:45:00.000000,180,0,signal_quality_failure,21.24,0,1,90.0,,0,Day
+ALM-EP-009-00004,EP-009F4173A4,LOW_SPO2,HIGH,2023-08-30T10:15:00.000000,300,0,signal_quality_failure,26.79,0,0,90.0,,1,Day
+ALM-EP-009-00005,EP-009F4173A4,LOW_SPO2,HIGH,2023-08-30T11:05:00.000000,180,0,threshold_crossing_artifact,44.36,0,0,90.0,,1,Day
+ALM-EP-009-00006,EP-009F4173A4,LOW_SPO2,HIGH,2023-08-30T12:10:00.000000,420,0,self_correcting_transient,80.53,0,1,90.0,,1,Day
+ALM-EP-009-00007,EP-009F4173A4,LOW_SPO2,HIGH,2023-08-30T12:55:00.000000,1680,0,threshold_crossing_artifact,7.54,0,0,90.0,,1,Day
+ALM-EP-009-00008,EP-009F4173A4,LOW_SPO2,HIGH,2023-08-30T17:30:00.000000,720,0,threshold_crossing_artifact,7.33,0,1,90.0,,2,Evening
+ALM-EP-009-00009,EP-009F4173A4,LOW_SPO2,HIGH,2023-08-30T18:50:00.000000,180,1,,20.67,1,0,90.0,,2,Evening
+ALM-EP-009-00010,EP-009F4173A4,LOW_SPO2,HIGH,2023-08-30T19:25:00.000000,180,1,,7.11,0,0,90.0,,2,Evening
+ALM-EP-009-00011,EP-009F4173A4,LOW_SPO2,HIGH,2023-08-30T19:45:00.000000,1200,0,signal_quality_failure,7.72,0,1,90.0,,2,Evening
+ALM-EP-009-00012,EP-009F4173A4,LOW_SPO2,HIGH,2023-08-30T22:05:00.000000,300,1,,1.46,1,0,90.0,,3,Evening
+ALM-EP-009-00013,EP-009F4173A4,LOW_SPO2,HIGH,2023-08-30T22:35:00.000000,480,0,threshold_crossing_artifact,36.54,0,0,90.0,,3,Evening
+ALM-EP-009-00014,EP-009F4173A4,HIGH_RR,MEDIUM,2023-08-31T09:10:00.000000,720,1,,2.9,1,0,,30.0,3,Day
+ALM-EP-009-00015,EP-009F4173A4,HIGH_RR,MEDIUM,2023-08-31T13:25:00.000000,120,0,threshold_crossing_artifact,15.68,0,0,,30.0,3,Day
+ALM-EP-009-00016,EP-009F4173A4,HIGH_RR,MEDIUM,2023-08-31T16:50:00.000000,120,0,signal_quality_failure,73.49,0,1,,30.0,4,Evening
+ALM-EP-009-00017,EP-009F4173A4,HIGH_RR,MEDIUM,2023-08-31T17:05:00.000000,480,0,signal_quality_failure,1.96,0,0,,30.0,4,Evening
+ALM-EP-009-00018,EP-009F4173A4,HIGH_RR,MEDIUM,2023-08-31T18:25:00.000000,120,0,threshold_crossing_artifact,34.17,0,1,,30.0,4,Evening
+ALM-EP-009-00019,EP-009F4173A4,HIGH_RR,MEDIUM,2023-08-31T19:15:00.000000,120,0,inappropriate_threshold,25.78,0,0,,30.0,4,Evening
+ALM-EP-009-00020,EP-009F4173A4,HIGH_RR,MEDIUM,2023-08-31T20:55:00.000000,120,0,signal_quality_failure,21.29,0,1,,30.0,5,Evening
+ALM-EP-009-00021,EP-009F4173A4,HIGH_RR,MEDIUM,2023-08-31T21:10:00.000000,120,1,,8.87,0,0,,30.0,5,Evening
+ALM-EP-009-00022,EP-009F4173A4,HIGH_RR,MEDIUM,2023-08-31T21:30:00.000000,180,0,inappropriate_threshold,71.25,0,1,,30.0,5,Evening
+ALM-EP-009-00023,EP-009F4173A4,HIGH_RR,MEDIUM,2023-08-31T21:50:00.000000,120,0,inappropriate_threshold,113.94,0,0,,30.0,5,Evening
+ALM-EP-009-00024,EP-009F4173A4,HIGH_RR,MEDIUM,2023-08-31T22:05:00.000000,960,0,signal_quality_failure,30.6,0,0,,30.0,6,Evening
+ALM-EP-009-00025,EP-009F4173A4,HIGH_RR,MEDIUM,2023-09-01T00:15:00.000000,300,0,inappropriate_threshold,44.56,0,0,,30.0,6,Night
+ALM-EP-009-00026,EP-009F4173A4,HIGH_RR,MEDIUM,2023-09-01T01:05:00.000000,360,1,,1.96,1,0,,30.0,6,Night
+ALM-EP-009-00027,EP-009F4173A4,HIGH_RR,MEDIUM,2023-09-01T01:50:00.000000,720,0,inappropriate_threshold,261.44,0,1,,30.0,6,Night
+ALM-EP-009-00028,EP-009F4173A4,HIGH_RR,MEDIUM,2023-09-01T03:35:00.000000,180,0,signal_quality_failure,7.84,0,1,,30.0,7,Night
+ALM-EP-009-00029,EP-009F4173A4,HIGH_RR,MEDIUM,2023-09-01T04:05:00.000000,180,0,self_correcting_transient,24.21,0,1,,30.0,7,Night
+ALM-EP-009-00030,EP-009F4173A4,HIGH_RR,MEDIUM,2023-09-01T04:25:00.000000,120,0,inappropriate_threshold,20.88,0,0,,30.0,7,Night
+ALM-EP-009-00031,EP-009F4173A4,HIGH_RR,MEDIUM,2023-09-01T04:45:00.000000,2700,0,inappropriate_threshold,61.93,0,1,,30.0,7,Night
+ALM-EP-009-00032,EP-009F4173A4,HIGH_RR,MEDIUM,2023-09-01T08:40:00.000000,3060,0,self_correcting_transient,100.63,0,1,,30.0,8,Day
+ALM-EP-C0F-00000,EP-C0FE94AF64,LOW_SPO2,HIGH,2022-04-16T15:30:00.000000,120,0,inappropriate_threshold,305.17,0,0,90.0,,0,Evening
+ALM-EP-C0F-00001,EP-C0FE94AF64,LOW_SPO2,HIGH,2022-04-16T15:45:00.000000,120,0,signal_quality_failure,86.37,0,0,90.0,,0,Evening
+ALM-EP-C0F-00002,EP-C0FE94AF64,LOW_SPO2,HIGH,2022-04-16T19:30:00.000000,540,0,self_correcting_transient,10.37,0,0,90.0,,0,Evening
+ALM-EP-C0F-00003,EP-C0FE94AF64,LOW_SPO2,HIGH,2022-04-16T20:35:00.000000,120,0,threshold_crossing_artifact,8.93,0,0,90.0,,0,Evening
+ALM-EP-C0F-00004,EP-C0FE94AF64,LOW_SPO2,HIGH,2022-04-16T21:40:00.000000,180,0,threshold_crossing_artifact,12.46,0,1,90.0,,1,Evening
+ALM-EP-C0F-00005,EP-C0FE94AF64,LOW_SPO2,HIGH,2022-04-16T22:00:00.000000,180,0,signal_quality_failure,89.13,0,0,90.0,,1,Evening
+ALM-EP-C0F-00006,EP-C0FE94AF64,LOW_SPO2,HIGH,2022-04-16T22:20:00.000000,180,0,inappropriate_threshold,7.32,0,0,90.0,,1,Evening
+ALM-EP-C0F-00007,EP-C0FE94AF64,LOW_SPO2,HIGH,2022-04-17T05:15:00.000000,1200,0,signal_quality_failure,402.67,0,0,90.0,,1,Night
+ALM-EP-C0F-00008,EP-C0FE94AF64,LOW_SPO2,HIGH,2022-04-17T07:10:00.000000,120,0,threshold_crossing_artifact,115.61,0,1,90.0,,2,Day
+ALM-EP-C0F-00009,EP-C0FE94AF64,LOW_SPO2,HIGH,2022-04-17T08:20:00.000000,120,1,,7.2,0,1,90.0,,2,Day
+ALM-EP-C0F-00010,EP-C0FE94AF64,LOW_SPO2,HIGH,2022-04-17T08:40:00.000000,900,0,signal_quality_failure,61.85,0,0,90.0,,2,Day
+ALM-EP-C0F-00011,EP-C0FE94AF64,LOW_SPO2,HIGH,2022-04-17T11:45:00.000000,900,0,signal_quality_failure,194.42,0,1,90.0,,2,Day
+ALM-EP-C0F-00012,EP-C0FE94AF64,LOW_SPO2,HIGH,2022-04-17T15:35:00.000000,120,0,inappropriate_threshold,36.4,0,0,90.0,,3,Evening
+ALM-EP-C0F-00013,EP-C0FE94AF64,LOW_SPO2,HIGH,2022-04-17T15:50:00.000000,2580,0,signal_quality_failure,32.36,0,0,90.0,,3,Evening
+ALM-EP-C0F-00014,EP-C0FE94AF64,LOW_SPO2,HIGH,2022-04-17T19:50:00.000000,600,0,threshold_crossing_artifact,58.15,0,1,90.0,,3,Evening
+ALM-EP-C0F-00015,EP-C0FE94AF64,LOW_SPO2,HIGH,2022-04-17T20:45:00.000000,360,0,inappropriate_threshold,36.31,0,1,90.0,,3,Evening
+ALM-EP-C0F-00016,EP-C0FE94AF64,HIGH_RR,MEDIUM,2022-04-18T01:20:00.000000,300,0,threshold_crossing_artifact,56.6,0,0,,30.0,4,Night
+ALM-EP-C0F-00017,EP-C0FE94AF64,HIGH_RR,MEDIUM,2022-04-18T05:35:00.000000,120,0,threshold_crossing_artifact,6.88,0,1,,30.0,4,Night
+ALM-EP-C0F-00018,EP-C0FE94AF64,HIGH_RR,MEDIUM,2022-04-18T11:10:00.000000,480,0,inappropriate_threshold,16.14,0,1,,30.0,4,Day
+ALM-EP-C0F-00019,EP-C0FE94AF64,HIGH_RR,MEDIUM,2022-04-18T12:30:00.000000,120,0,self_correcting_transient,21.3,0,1,,30.0,4,Day
+ALM-EP-C0F-00020,EP-C0FE94AF64,HIGH_RR,MEDIUM,2022-04-18T12:50:00.000000,120,0,self_correcting_transient,30.52,0,0,,30.0,5,Day
+ALM-EP-C0F-00021,EP-C0FE94AF64,HIGH_RR,MEDIUM,2022-04-18T13:05:00.000000,240,0,inappropriate_threshold,36.5,0,0,,30.0,5,Day
+ALM-EP-C0F-00022,EP-C0FE94AF64,HIGH_RR,MEDIUM,2022-04-18T13:30:00.000000,480,0,inappropriate_threshold,15.14,0,1,,30.0,5,Day
+ALM-EP-C0F-00023,EP-C0FE94AF64,HIGH_RR,MEDIUM,2022-04-18T14:40:00.000000,120,0,inappropriate_threshold,7.52,0,0,,30.0,5,Day
+ALM-EP-C0F-00024,EP-C0FE94AF64,HIGH_RR,MEDIUM,2022-04-18T15:15:00.000000,240,0,inappropriate_threshold,7.79,0,0,,30.0,6,Evening
+ALM-EP-A3C-00000,EP-A3CD411905,HIGH_HR,MEDIUM,2022-12-13T16:05:00.000000,540,0,self_correcting_transient,16.57,0,0,,120.0,0,Evening
+ALM-EP-A3C-00001,EP-A3CD411905,HIGH_HR,MEDIUM,2022-12-13T19:00:00.000000,540,0,self_correcting_transient,24.47,0,0,,120.0,0,Evening
+ALM-EP-A3C-00002,EP-A3CD411905,HIGH_HR,MEDIUM,2022-12-13T19:50:00.000000,360,0,signal_quality_failure,59.68,0,0,,120.0,0,Evening
+ALM-EP-A3C-00003,EP-A3CD411905,HIGH_HR,MEDIUM,2022-12-13T21:05:00.000000,180,0,signal_quality_failure,27.63,0,0,,120.0,0,Evening
+ALM-EP-A3C-00004,EP-A3CD411905,LOW_SPO2,HIGH,2022-12-12T04:25:00.000000,480,0,threshold_crossing_artifact,11.56,0,0,90.0,,1,Night
+ALM-EP-A3C-00005,EP-A3CD411905,LOW_SPO2,HIGH,2022-12-12T05:25:00.000000,180,0,signal_quality_failure,70.33,0,1,90.0,,1,Night
+ALM-EP-A3C-00006,EP-A3CD411905,LOW_SPO2,HIGH,2022-12-12T10:45:00.000000,1200,1,,5.73,1,0,90.0,,1,Day
+ALM-EP-A3C-00007,EP-A3CD411905,LOW_SPO2,HIGH,2022-12-12T13:05:00.000000,180,0,signal_quality_failure,8.36,0,0,90.0,,1,Day
+ALM-EP-A3C-00008,EP-A3CD411905,LOW_SPO2,HIGH,2022-12-12T14:20:00.000000,480,1,,2.33,1,0,90.0,,2,Day
+ALM-EP-A3C-00009,EP-A3CD411905,LOW_SPO2,HIGH,2022-12-12T15:35:00.000000,660,1,,6.4,0,0,90.0,,2,Evening
+ALM-EP-A3C-00010,EP-A3CD411905,LOW_SPO2,HIGH,2022-12-12T16:35:00.000000,180,1,,4.78,1,0,90.0,,2,Evening
+ALM-EP-A3C-00011,EP-A3CD411905,LOW_SPO2,HIGH,2022-12-12T17:10:00.000000,660,0,inappropriate_threshold,87.91,0,0,90.0,,2,Evening
+ALM-EP-A3C-00012,EP-A3CD411905,HIGH_RR,MEDIUM,2022-12-13T02:10:00.000000,120,1,,4.63,1,0,,30.0,3,Night
+ALM-EP-A3C-00013,EP-A3CD411905,HIGH_RR,MEDIUM,2022-12-13T03:05:00.000000,420,0,signal_quality_failure,185.97,0,0,,30.0,3,Night
+ALM-EP-A3C-00014,EP-A3CD411905,HIGH_RR,MEDIUM,2022-12-13T04:45:00.000000,120,0,threshold_crossing_artifact,112.58,0,0,,30.0,3,Night
+ALM-EP-A3C-00015,EP-A3CD411905,HIGH_RR,MEDIUM,2022-12-13T05:05:00.000000,240,0,self_correcting_transient,10.2,0,1,,30.0,3,Night
+ALM-EP-A3C-00016,EP-A3CD411905,HIGH_RR,MEDIUM,2022-12-13T06:00:00.000000,120,1,,4.98,1,0,,30.0,4,Night
+ALM-EP-A3C-00017,EP-A3CD411905,HIGH_RR,MEDIUM,2022-12-13T06:30:00.000000,120,0,self_correcting_transient,10.55,0,1,,30.0,4,Night
+ALM-EP-A3C-00018,EP-A3CD411905,HIGH_RR,MEDIUM,2022-12-13T06:45:00.000000,780,0,inappropriate_threshold,26.26,0,0,,30.0,4,Night
+ALM-EP-A3C-00019,EP-A3CD411905,HIGH_RR,MEDIUM,2022-12-13T07:55:00.000000,120,0,threshold_crossing_artifact,9.41,0,0,,30.0,4,Day
+ALM-EP-A3C-00020,EP-A3CD411905,HIGH_RR,MEDIUM,2022-12-13T08:10:00.000000,1020,0,signal_quality_failure,28.54,0,1,,30.0,5,Day
+ALM-EP-A3C-00021,EP-A3CD411905,HIGH_RR,MEDIUM,2022-12-13T10:10:00.000000,180,0,signal_quality_failure,25.36,0,0,,30.0,5,Day
+ALM-EP-A3C-00022,EP-A3CD411905,HIGH_RR,MEDIUM,2022-12-13T11:15:00.000000,6060,1,,12.66,0,0,,30.0,5,Day

episode_summary.csv

@@ -0,0 +1,26 @@
+episode_id,monitoring_setting,icu_unit_type,admit_dt,discharge_dt,episode_duration_days,bed_id,age,sex,apache2_score,sofa_score,sofa_at_discharge,primary_dx_group,cci_score,ventilation_status,vasopressor_flag,rrt_flag,has_arterial_line,has_central_line,has_pa_catheter,trajectory,monitor_manufacturer,rpm_device_type,lead_configuration,device_uptime_pct,connectivity_drops,true_alarm_rate,total_alarms,alarms_per_patient_day,actionable_alarm_rate,alarm_override_rate,median_response_time_min,alarm_limit_modification_count,alarm_cascade_count,fatigue_index_score,news2_max,news2_mean,qsofa_max,deterioration_6h_label,in_hospital_mortality,readmission_30d,rapid_response_event,sqi_hr_bpm,sqi_spo2_pct,sqi_rr_bpm,sqi_nbp_sys_mmhg,sqi_nbp_dia_mmhg,sqi_nbp_map_mmhg,sqi_ibp_sys_mmhg,sqi_ibp_dia_mmhg,sqi_temp_c,sqi_etco2_mmhg,sqi_cvp_mmhg,sqi_cardiac_output_lpm
+EP-D13DFE331D,ICU,SICU,2023-09-19,2023-09-21,2.28,BED-074,69,Male,17,3,1,Respiratory Failure,3,1,0,0,0,0,0,Improving,Nihon Kohden BSM-6000,,3-lead,0.995,4,0.216,20,8.77,0.35,0.25,19.3,1,5,0.044,6.0,5.4,1,0,0,0,0,0.771,0.864,0.913,0.955,0.963,0.966,0.0,0.0,0.933,0.889,0.0,0.0
+EP-8B3E27E8FF,ICU,MICU,2022-03-22,2022-03-23,1.73,BED-054,84,Male,15,7,5,Sepsis,2,0,0,0,0,0,0,Improving,GE Carescape B850,,3-lead,0.97,5,0.17,5,2.89,0.2,0.4,37.03,2,2,0.014,9.0,5.8,1,0,0,0,0,0.811,0.859,0.9,0.924,0.968,0.958,0.0,0.0,0.961,0.0,0.0,0.0
+EP-843AE85713,ICU,CCU,2023-06-11,2023-06-11,0.5,BED-012,58,Female,17,5,6,Other,1,0,0,1,0,0,0,Stable,Masimo Root,,5-lead,0.887,4,0.161,0,0.0,0.0,0.0,0.0,4,0,0.0,4.0,1.8,0,0,0,0,0,0.87,0.894,0.907,0.955,0.987,0.972,0.0,0.0,0.956,0.0,0.0,0.0
+EP-DCBBB7676F,ICU,SICU,2022-08-30,2022-09-05,6.16,BED-084,56,Female,10,1,3,Sepsis,2,0,0,0,0,1,0,Deteriorating,Masimo Root,,5-lead,0.976,1,0.202,5,0.81,0.0,0.2,48.97,5,2,0.004,8.0,4.1,1,1,0,0,0,0.789,0.809,0.851,0.94,0.964,0.951,0.0,0.0,0.971,0.0,0.932,0.0
+EP-971E130D02,ICU,MICU,2022-05-22,2022-05-24,2.83,BED-047,66,Female,6,1,0,Cardiac,0,1,1,0,0,1,0,Improving,GE Carescape B850,,5-lead,0.924,2,0.07,2,0.71,0.0,0.5,17.74,1,1,0.004,6.0,3.6,1,0,0,0,0,0.823,0.89,0.919,0.936,0.961,0.955,0.0,0.0,0.969,0.911,0.937,0.0
+EP-8AD53250FB,ICU,Neuro ICU,2022-07-24,2022-07-25,1.19,BED-055,35,Male,9,0,0,Post-Surgical,0,0,1,0,1,0,0,Improving,Nihon Kohden BSM-6000,,5-lead,0.897,0,0.146,0,0.0,0.0,0.0,0.0,1,0,0.0,6.0,2.3,1,0,0,0,0,0.821,0.835,0.917,0.958,0.984,0.961,0.831,0.915,0.937,0.0,0.0,0.0
+EP-79322830C4,ICU,CCU,2023-04-11,2023-04-21,10.33,BED-043,70,Male,5,2,5,Sepsis,3,1,0,0,0,0,0,Deteriorating,Philips IntelliVue MX800,,5-lead,0.971,1,0.126,24,2.32,0.083,0.375,25.71,3,6,0.012,8.0,5.1,1,1,0,0,0,0.746,0.871,0.922,0.94,0.97,0.956,0.0,0.0,0.952,0.96,0.0,0.0
+EP-D056438DEB,ICU,MICU,2023-08-09,2023-08-09,0.5,BED-073,51,Female,6,0,3,Respiratory Failure,0,1,0,0,0,0,0,Deteriorating,Masimo Root,,12-lead,0.929,3,0.192,1,2.0,0.0,1.0,38.69,2,1,0.01,6.0,5.2,1,0,0,1,0,0.798,0.835,0.835,0.897,0.972,0.988,0.0,0.0,0.985,0.965,0.0,0.0
+EP-65877E4E4E,ICU,MICU,2023-04-06,2023-04-08,2.99,BED-039,91,Female,17,6,5,Post-Surgical,2,1,0,1,0,0,0,Improving,Nihon Kohden BSM-6000,,3-lead,0.883,0,0.201,2,0.67,0.5,0.0,302.06,2,1,0.003,7.0,4.7,1,0,1,0,0,0.854,0.862,0.921,0.929,0.945,0.958,0.0,0.0,0.922,0.923,0.0,0.0
+EP-4236ED04E8,ICU,MICU,2023-05-05,2023-05-08,3.8,BED-008,75,Female,5,3,5,Sepsis,0,1,0,0,0,0,0,Deteriorating,GE Carescape B850,,5-lead,0.92,1,0.168,2,0.53,0.0,0.0,24.44,1,1,0.003,8.0,5.3,1,1,0,0,0,0.708,0.874,0.914,0.932,0.959,0.961,0.0,0.0,0.963,0.935,0.0,0.0
+EP-0CCB426159,ICU,CCU,2022-12-04,2022-12-06,2.61,BED-032,78,Female,21,8,8,Cardiac,2,0,1,0,0,1,1,Stable,Philips IntelliVue MX800,,12-lead,0.897,1,0.106,0,0.0,0.0,0.0,0.0,4,0,0.0,5.0,2.5,0,0,0,1,0,0.8,0.894,0.913,0.933,0.96,0.959,0.0,0.0,0.973,0.0,0.948,0.937
+EP-BF4DA2337D,ICU,SICU,2022-03-15,2022-03-21,6.58,BED-019,43,Female,7,4,5,Sepsis,1,0,0,0,0,0,0,Deteriorating,Masimo Root,,12-lead,0.93,3,0.135,22,3.34,0.0,0.545,29.88,4,6,0.017,10.0,5.6,1,1,0,0,0,0.721,0.846,0.897,0.937,0.966,0.958,0.0,0.0,0.935,0.0,0.0,0.0
+EP-8B16A5A004,ICU,MICU,2022-10-03,2022-10-05,2.87,BED-066,61,Male,8,4,2,Post-Surgical,1,1,0,0,1,0,0,Improving,Masimo Root,,12-lead,0.993,1,0.137,1,0.35,0.0,0.0,70.14,3,1,0.002,7.0,4.3,1,0,0,1,0,0.738,0.852,0.88,0.93,0.969,0.967,0.814,0.895,0.95,0.935,0.0,0.0
+EP-BF4D047EF9,ICU,Neuro ICU,2022-04-12,2022-04-21,9.9,BED-031,51,Female,10,2,1,Post-Surgical,4,0,0,0,1,0,0,Improving,Nihon Kohden BSM-6000,,5-lead,0.97,1,0.177,1,0.1,0.0,1.0,63.8,1,1,0.001,7.0,3.1,1,0,0,1,0,0.773,0.852,0.923,0.944,0.964,0.959,0.836,0.874,0.939,0.0,0.0,0.0
+EP-AC944CE8A2,ICU,Neuro ICU,2023-07-26,2023-07-29,3.88,BED-050,51,Male,15,4,3,Cardiac,1,1,0,0,0,0,0,Oscillating,Philips IntelliVue MX800,,5-lead,0.953,0,0.171,0,0.0,0.0,0.0,0.0,0,0,0.0,5.0,2.6,0,0,0,0,0,0.831,0.858,0.949,0.944,0.963,0.958,0.0,0.0,0.951,0.908,0.0,0.0
+EP-BD7566ADEC,ICU,MICU,2022-12-12,2022-12-17,5.37,BED-087,87,Male,4,0,0,Sepsis,2,0,0,0,0,1,0,Improving,Masimo Root,,3-lead,0.953,4,0.139,0,0.0,0.0,0.0,0.0,3,0,0.0,7.0,2.5,1,0,0,0,0,0.829,0.905,0.903,0.939,0.97,0.958,0.0,0.0,0.951,0.0,0.963,0.0
+EP-009F4173A4,ICU,MICU,2023-08-29,2023-09-01,3.56,BED-095,65,Male,16,5,8,Respiratory Failure,0,1,0,0,0,0,0,Deteriorating,GE Carescape B850,,5-lead,0.981,4,0.225,33,9.28,0.121,0.485,21.6,2,9,0.046,7.0,6.0,1,1,0,0,0,0.676,0.895,0.914,0.937,0.971,0.96,0.0,0.0,0.949,0.935,0.0,0.0
+EP-BCD2640D09,ICU,MICU,2022-07-14,2022-07-16,2.99,BED-093,49,Male,14,3,0,Post-Surgical,0,1,0,0,0,0,0,Improving,Nihon Kohden BSM-6000,,5-lead,0.89,5,0.194,0,0.0,0.0,0.0,0.0,2,0,0.0,6.0,4.1,1,0,0,0,0,0.786,0.92,0.905,0.938,0.968,0.966,0.0,0.0,0.957,0.937,0.0,0.0
+EP-1AD67A183A,ICU,MICU,2023-03-04,2023-03-11,7.24,BED-035,45,Male,12,5,3,Cardiac,2,1,1,0,0,1,0,Improving,GE Carescape B850,,3-lead,0.947,2,0.244,0,0.0,0.0,0.0,0.0,2,0,0.0,7.0,4.5,1,0,0,0,0,0.793,0.883,0.882,0.943,0.962,0.963,0.0,0.0,0.975,0.917,0.904,0.0
+EP-0762C63C3C,ICU,Neuro ICU,2023-05-04,2023-05-04,0.64,BED-053,61,Male,6,0,0,Sepsis,0,0,1,0,0,0,0,Improving,GE Carescape B850,,5-lead,0.896,2,0.195,0,0.0,0.0,0.0,0.0,4,0,0.0,5.0,2.3,1,0,0,0,0,0.798,0.787,0.897,0.934,0.991,0.982,0.0,0.0,0.966,0.0,0.0,0.0
+EP-C0FE94AF64,ICU,MICU,2022-04-13,2022-04-18,5.66,BED-009,78,Female,9,1,4,Respiratory Failure,2,1,1,0,0,0,0,Deteriorating,Masimo Root,,5-lead,0.969,5,0.159,25,4.42,0.0,0.4,32.36,0,7,0.022,7.0,5.4,1,1,0,1,0,0.727,0.856,0.874,0.936,0.968,0.96,0.0,0.0,0.95,0.932,0.0,0.0
+EP-9BA3053FC8,ICU,MICU,2023-04-14,2023-04-18,4.02,BED-073,71,Female,9,4,4,Respiratory Failure,0,1,0,1,0,1,1,Stable,GE Carescape B850,,5-lead,0.886,2,0.181,0,0.0,0.0,0.0,0.0,2,0,0.0,6.0,4.3,1,0,0,0,0,0.876,0.907,0.945,0.931,0.967,0.96,0.0,0.0,0.952,0.931,0.959,0.969
+EP-2B87FCEE9C,ICU,MICU,2023-12-06,2023-12-07,1.28,BED-032,68,Female,11,0,2,Neurological,0,1,0,0,0,1,1,Deteriorating,Philips IntelliVue MX800,,5-lead,0.895,6,0.168,0,0.0,0.0,0.0,0.0,2,0,0.0,7.0,4.1,1,1,0,1,0,0.775,0.852,0.854,0.952,0.979,0.967,0.0,0.0,0.912,0.96,0.959,0.92
+EP-090D902781,ICU,MICU,2023-01-16,2023-01-17,1.87,BED-065,76,Female,17,2,2,Sepsis,0,0,0,0,1,0,0,Oscillating,GE Carescape B850,,3-lead,0.935,2,0.147,0,0.0,0.0,0.0,0.0,2,0,0.0,3.0,1.3,0,0,0,0,0,0.842,0.876,0.916,0.942,0.965,0.966,0.911,0.904,0.914,0.0,0.0,0.0
+EP-A3CD411905,ICU,SICU,2022-12-12,2022-12-13,1.9,BED-017,79,Male,23,7,10,Respiratory Failure,1,0,1,0,1,0,0,Deteriorating,Masimo Root,,5-lead,0.883,1,0.236,23,12.11,0.217,0.174,12.66,6,6,0.061,8.0,7.3,1,1,0,0,0,0.751,0.842,0.877,0.927,0.972,0.964,0.92,0.949,0.929,0.0,0.0,0.0

interventions.csv

@@ -0,0 +1,21 @@
+intervention_id,episode_id,intervention_type,intervention_ts,alarm_trigger_id,latency_min,drug_class,dose_delta,vent_param_changed,rosc_flag,rapid_response_team_id
+INT-EP-D13-00000,EP-D13DFE331D,POSITION_CHANGE,2023-09-19 01:45:26.279719,ALM-EP-D13-00001,20.44,,,,,
+INT-EP-D13-00001,EP-D13DFE331D,POSITION_CHANGE,2023-09-19 05:10:00,ALM-EP-D13-00004,60.0,,,,,
+INT-EP-D13-00002,EP-D13DFE331D,VENTILATOR_ADJUSTMENT,2023-09-19 12:44:34.782768,ALM-EP-D13-00008,39.58,,,,,
+INT-EP-D13-00003,EP-D13DFE331D,POSITION_CHANGE,2023-09-19 13:01:43.972843,ALM-EP-D13-00009,31.73,,,,,
+INT-EP-D13-00004,EP-D13DFE331D,VENTILATOR_ADJUSTMENT,2023-09-19 12:55:32.402339,ALM-EP-D13-00010,5.54,,,FiO2,,
+INT-EP-D13-00005,EP-D13DFE331D,MEDICATION_BOLUS,2023-09-19 14:23:03.165290,ALM-EP-D13-00011,3.05,bronchodilator,3.88,,,
+INT-EP-D13-00006,EP-D13DFE331D,VENTILATOR_ADJUSTMENT,2023-09-19 00:28:30.932568,ALM-EP-D13-00019,8.52,,,rate,,
+INT-EP-8B3-00000,EP-8B3E27E8FF,PHYSICIAN_NOTIFICATION,2022-03-22 05:41:33.183587,ALM-EP-8B3-00003,6.55,,,,,
+INT-EP-793-00000,EP-79322830C4,PHYSICIAN_NOTIFICATION,2023-04-20 08:59:39.531910,ALM-EP-793-00016,9.66,,,,,
+INT-EP-793-00001,EP-79322830C4,PHYSICIAN_NOTIFICATION,2023-04-20 13:22:49.595649,ALM-EP-793-00020,12.83,,,,,
+INT-EP-658-00000,EP-65877E4E4E,VENTILATOR_ADJUSTMENT,2023-04-06 02:29:32.183089,ALM-EP-658-00000,34.54,,,,,
+INT-EP-009-00000,EP-009F4173A4,VENTILATOR_ADJUSTMENT,2023-08-30 18:53:14.396961,ALM-EP-009-00009,3.24,,,tidal_volume,,
+INT-EP-009-00001,EP-009F4173A4,VENTILATOR_ADJUSTMENT,2023-08-30 22:11:38.823093,ALM-EP-009-00012,6.65,,,rate,,
+INT-EP-009-00002,EP-009F4173A4,POSITION_CHANGE,2023-08-31 09:22:14.757228,ALM-EP-009-00014,12.25,,,,,
+INT-EP-009-00003,EP-009F4173A4,POSITION_CHANGE,2023-09-01 01:07:10.147295,ALM-EP-009-00026,2.17,,,,,
+INT-EP-A3C-00000,EP-A3CD411905,MEDICATION_BOLUS,2022-12-12 10:50:43.708881,ALM-EP-A3C-00006,5.73,bronchodilator,4.12,,,
+INT-EP-A3C-00001,EP-A3CD411905,MEDICATION_BOLUS,2022-12-12 14:25:40.219145,ALM-EP-A3C-00008,5.67,bronchodilator,3.15,,,
+INT-EP-A3C-00002,EP-A3CD411905,VENTILATOR_ADJUSTMENT,2022-12-12 16:54:53.501812,ALM-EP-A3C-00010,19.89,,,tidal_volume,,
+INT-EP-A3C-00003,EP-A3CD411905,VENTILATOR_ADJUSTMENT,2022-12-13 02:29:14.968496,ALM-EP-A3C-00012,19.25,,,PEEP,,
+INT-EP-A3C-00004,EP-A3CD411905,VENTILATOR_ADJUSTMENT,2022-12-13 06:02:57.492515,ALM-EP-A3C-00016,2.96,,,,,