| # Bio-Pulse Physiological Telemetry Pack — Schema |
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| One row = one physiological event sequence, end-to-end. All records share the same seven top-level fields. |
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| Schema version: `1.0.0-bio-pulse-sample` |
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| ## Top-level fields |
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| ### `schema_version` — string |
| Schema identifier. Constant within a sample release. Used to detect pack version drift. |
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| ### `event` — struct |
| Identifier fields and the overall clinical outcome for the sequence. |
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| | Field | Type | Notes | |
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| | `id` | string | Stable episode identifier, e.g., `BIOPULSE-100000`. | |
| | `trace_id` | string (UUID) | Cross-links telemetry steps within the sequence. | |
| | `timestamp` | string (ISO-8601) | Episode start time. | |
| | `criticality` | string | `low`, `medium`, `high`, `life_threatening`. | |
| | `outcome` | string | `patient_stabilized`, `intervention_successful`, `morbidity_risk_detected`. | |
| | `confidence` | double | 0–1. Confidence of the outcome label. | |
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| ### `patient_context` — struct |
| Synthetic patient archetype and baseline risk factors. |
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| | Field | Type | Notes | |
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| | `phenotype` | string | One of: `pediatric_asthmatic`, `active_longevity`, `high_stress_corporate`, `sedentary_diabetic`, `geriatric_frailty`. | |
| | `age_group` | string | `18-30`, `31-50`, `51-70`, `70+`. | |
| | `existing_conditions` | list<string> | Conditions carried by the synthetic patient (e.g., `asthma`, `type-2-diabetes`). | |
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| ### `medical_logic` — struct |
| Clinical scenario driving the sequence and the biomarkers being tracked. |
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| | Field | Type | Notes | |
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| | `diagnostic_class` | string | `Drug_Interaction_Toxicity`, `Septic_Shock_Cascade`, `Nocturnal_Hypoglycemia`. | |
| | `causal_chain` | list<string> | Ordered causal event labels (e.g., `MEDICATION_INGESTION_A`, `LIVER_ENZYME_DRIFT_SIMULATED`, `ARRHYTHMIA_DETECTION`). | |
| | `prediction_window_minutes` | int | Minutes of lead time available before the terminal event. | |
| | `tracked_biomarkers` | list<string> | Which biomarkers are reported in `vitals_telemetry.vitals` (e.g., `glucose_mgdl`, `heart_rate_bpm`, `qt_interval_ms`). | |
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| ### `vitals_telemetry` — list<struct> |
| Ordered sensor readings for the episode. One struct per reading. |
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| Reading struct: |
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| | Field | Type | Notes | |
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| | `timestamp` | string (ISO-8601) | Reading timestamp. | |
| | `sensor_id` | string | Synthetic sensor serial (e.g., `SENS-6ACEC5`). | |
| | `sensor_asset` | string | One of: `CGM_Sensor`, `Smart_Watch_V3`, `O2_Ring`, `Neural_Patch_V2`. | |
| | `event_name` | string | Label for what happened at this reading (matches one item in `medical_logic.causal_chain`). | |
| | `patient_id` | string | Synthetic patient identifier (e.g., `PAT-D884ED0A`). Not real. | |
| | `vitals.hr` | int | Heart rate (bpm). | |
| | `vitals.glucose` | double | Blood glucose (mg/dL). | |
| | `vitals.spo2` | int | Peripheral oxygen saturation (%). | |
| | `vitals.temp_c` | double | Body temperature (°C). | |
| | `vitals.cortisol_ugdl` | double | Cortisol (µg/dL). | |
| | `vitals.systolic_bp` | int | Systolic blood pressure (mmHg). | |
| | `vitals.qt_interval_ms` | int | QT interval (ms). | |
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| ### `detection_logic` — struct |
| Anomaly-signature metadata describing why this sequence is flagged. |
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| | Field | Type | Notes | |
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| | `signature` | string | Human-readable signature name (e.g., `Predictive Drug_Interaction_Toxicity for pediatric_asthmatic`). | |
| | `anomaly_score` | double | 0–1. Higher = more anomalous. | |
| | `baseline_deviation` | string | Short English description of the deviation pattern. | |
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| ### `simulation` — struct |
| Simulation engine provenance. |
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| | Field | Type | Notes | |
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| | `synthetic` | bool | Always `true`. | |
| | `model` | string | Simulation engine label (`bio_pulse_sim_v1` in this sample). | |
| | `fidelity` | string | `Clinical_Grade`. | |
| | `target_diagnoses` | list<string> | Diagnoses this engine can produce (e.g., `Hypoglycemic_Event`, `Septic_Shock`). | |
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| ## Distribution of this sample |
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| - 10,000 sequences total. |
| - Criticality: balanced across `low` / `medium` / `high` / `life_threatening` (~2,500 each). |
| - Diagnostic class: balanced across 3 classes (~3,300 each). |
| - Phenotype: balanced across 5 archetypes (~2,000 each). |
| - Age group: skewed toward `70+` (~3,200) to reflect chronic-care monitoring use cases. |
| - Simulation engine label constant (`bio_pulse_sim_v1`) after sanitization. |
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| ## Sanitization notes |
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| - Internal identifier prefix (`SIMA-V4-BIO-*`) has been normalized to `BIOPULSE-*`. |
| - Internal engine code name has been normalized to `bio_pulse_sim_v1`. |
| - Wearable device name previously labeled `Neural_Link_Beta` has been renamed to `Neural_Patch_V2` to avoid collision with an unrelated company trademark. |
| - No real patient IDs, names, clinic names, device serials, or health records are present. All identifiers are synthetic. |
| - Dataset is HIPAA-safe by construction: no covered data is present. |
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| ## Relationship to the full pack |
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| The production pack scales to 1M+ sequences with wider phenotype coverage, additional diagnostic classes (atrial fibrillation, asthma exacerbation, hypertensive crisis, post-op recovery, stroke precursors), richer biomarker panels, device-specific fidelity variants, longer causal chains, and FHIR-aligned delivery. See the pack card for commercial access. |
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