SCHEMA.md

Bio-Pulse Physiological Telemetry Pack — Schema

One row = one physiological event sequence, end-to-end. All records share the same seven top-level fields.

Schema version: 1.0.0-bio-pulse-sample

Top-level fields

schema_version — string

Schema identifier. Constant within a sample release. Used to detect pack version drift.

event — struct

Identifier fields and the overall clinical outcome for the sequence.

Field	Type	Notes
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.

patient_context — struct

Synthetic patient archetype and baseline risk factors.

Field	Type	Notes
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	Conditions carried by the synthetic patient (e.g., asthma, type-2-diabetes).

medical_logic — struct

Clinical scenario driving the sequence and the biomarkers being tracked.

Field	Type	Notes
diagnostic_class	string	Drug_Interaction_Toxicity, Septic_Shock_Cascade, Nocturnal_Hypoglycemia.
causal_chain	list	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	Which biomarkers are reported in vitals_telemetry.vitals (e.g., glucose_mgdl, heart_rate_bpm, qt_interval_ms).

vitals_telemetry — list

Ordered sensor readings for the episode. One struct per reading.

Reading struct:

Field	Type	Notes
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).

detection_logic — struct

Anomaly-signature metadata describing why this sequence is flagged.

Field	Type	Notes
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.

simulation — struct

Simulation engine provenance.

Field	Type	Notes
synthetic	bool	Always true.
model	string	Simulation engine label (bio_pulse_sim_v1 in this sample).
fidelity	string	Clinical_Grade.
target_diagnoses	list	Diagnoses this engine can produce (e.g., Hypoglycemic_Event, Septic_Shock).

Distribution of this sample

• 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.

Sanitization notes

• 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.

Relationship to the full pack

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.