| --- |
| license: other |
| task_categories: |
| - feature-extraction |
| - text-generation |
| language: |
| - en |
| tags: |
| - medical |
| - biology |
| - sensors |
| - wearable |
| - synthetic |
| - organ |
| - healthcare |
| --- |
| # Futuristic Wearable Observational Synthetic Dataset |
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| This dataset represents a fully synthetic, multi-decade observational record of 100 individuals monitored by an advanced wearable device. |
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| Measurements include physiological, biochemical, behavioral, environmental, and organ-level digital biomarkers, representing both currently measurable signals and speculative signals that may become measurable in future decades. |
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| All data are generated algorithmically. No real individuals, clinical data, or proprietary sources were used. |
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| --- |
|
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| ## Overview |
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| This dataset simulates a long-term population study in which each participant wears a continuous health-monitoring **wearable device**. Measurements are recorded **every 60 minutes**, producing dense, multi-system time-series data. |
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| The wearable’s sensor suite is defined by three technological eras: |
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| - **2025 era:** present-day wearable capabilities |
| - **2035 era:** emerging physiological and metabolic biomarkers |
| - **2045 era:** advanced multimodal, biochemical, and AI-derived sensing |
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| In this dataset, all participants use the **2045-era** sensor configuration, enabling the complete set of measurements. |
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| The simulation incorporates: |
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| - Circadian, behavioral, and environmental cycles |
| - Physiological variability |
| - Polygenic risk modifiers |
| - Organ-specific digital biomarkers |
| - Rare episodic events (infection onset, arrhythmias, ER visits) |
|
|
| --- |
|
|
| ## Scale and Composition |
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|
| | File | Description | |
| |------|-------------| |
| | **persons.csv** | Baseline demographics, health conditions, and wearable-usage patterns. | |
| | **observations.parquet** | Hourly biometric observations across 7,300 days for each participant. | |
| | **devices.csv** | Assigned wearable type and active sensor set based on era. | |
| | **genetics.csv** | Polygenic risk scores influencing physiology and long-term traits. | |
| | **events.csv** | Time-stamped events (infection onset, arrhythmia, ER visit). | |
| | **_manifest.csv** | Row counts for all tables. | |
| |
| All tables link via `patient_id`. |
| |
| --- |
| |
| ## Time Span |
| |
| The dataset covers **20 years (7,300 days)** of continuous monitoring for each participant. |
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| --- |
|
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| ## Sampling Frequency |
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| Measurements are recorded **every 60 minutes**, generating long-duration physiological and environmental time-series suitable for modeling, forecasting, and exploratory analysis. |
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| --- |
|
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| # Sensor Reference |
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| Below is the complete set of measurements supported by the wearable across all eras. |
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| --- |
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| ## 2025-Era Sensors |
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| ### Core Physiological |
| - **hr** — Heart rate (beats/min) |
| - **hrv** — Heart rate variability (RMSSD-like) |
| - **spo2** — Oxygen saturation (%) |
| - **resp_rate** — Respiratory rate (breaths/min) |
| - **skin_temp** — Skin surface temperature (°C) |
| - **accel_met** — MET-equivalent physical activity index |
| |
| ### Sleep & Environment |
| - **sleep_depth_score** — Sleep-stage depth index |
| - **aqi** — Air quality index |
| - **uv_index** — UV radiation index |
| - **ambient_noise_level** — Noise exposure (dB) |
| - **ambient_temp** — Ambient temperature (°C) |
| |
| --- |
| |
| ## 2035-Era Sensors |
| |
| ### Cardiovascular & Circulation |
| - **cuffless_bp_sys** — Non-invasive systolic BP estimate |
| - **cuffless_bp_dia** — Non-invasive diastolic BP estimate |
| - **pulse_wave_velocity** — Arterial stiffness indicator |
| - **microcirculation_flow** — Peripheral microvascular flow |
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|
| ### Metabolic & Endocrine |
| - **core_temp** — Core-temperature proxy |
| - **glucose_noninv** — Non-invasive glucose estimate |
| - **cortisol_sweat** — Stress-related sweat biomarker |
| - **hydration_index** — Hydration status score |
| - **ph_sweat** — Sweat pH level |
| |
| ### Brain / Autonomic |
| - **mood_score** — Multimodal mood estimation |
| - **cognitive_load** — Cognitive workload index |
| - **stress_index** — Autonomic stress indicator |
| - **alertness_index** — Wakefulness score |
| |
| --- |
| |
| ## 2045-Era Sensors |
| |
| ### Heart & Circulation |
| - **cardiac_index** — Cardiac output per body-surface area |
| - **coronary_perfusion_index** — Coronary perfusion estimate |
| - **endothelial_function** — Vascular endothelial reactivity |
| |
| ### Lungs & Oxygen Exchange |
| - **tidal_variability_index** — Variability in tidal breathing |
| - **co2_proxy** — Non-invasive CO₂ exchange proxy |
| - **resp_efficiency_score** — Gas-exchange efficiency |
| - **cough_signature_index** — Cough acoustic abnormality score |
| - **asthma_risk_score** — Asthma-risk estimation |
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| ### Liver & Metabolism |
| - **bilirubin_index** — Bilirubin-related metabolic indicator |
| - **liver_function_score** — Composite liver-function score |
| - **fat_metabolism_rate** — Fat oxidation estimate |
| - **glycogen_storage_index** — Glycogen availability proxy |
| |
| ### Bone & Musculoskeletal |
| - **activity_load** — Musculoskeletal effort estimate |
| - **posture_score** — Postural alignment score |
| - **bone_density_proxy** — Motion-inferred bone density trend |
| - **micro_tremor_index** — Fine motor tremor amplitude |
| - **gait_symmetry_index** — Gait symmetry during walking |
| - **joint_inflammation_temp** — Local inflammation-related temperature |
| |
| ### Skin & Peripheral |
| - **skin_conductance** — Electrodermal activity |
| - **skin_moisture** — Skin hydration level |
| - **skin_barrier_index** — Barrier integrity index |
| - **skin_microcirculation** — Local blood-flow estimate |
| - **skin_microbiome_activity** — Microbial-activity signature |
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|
| ### Endocrine & Hormonal |
| - **insulin_response_index** — Insulin-sensitivity proxy |
| - **thyroid_activity_score** — Thyroid activity trend |
| - **adrenal_activity_index** — Adrenal activation score |
| - **melatonin_proxy** — Melatonin-related circadian proxy |
| |
| ### Immune & Inflammatory |
| - **crp_proxy** — CRP-related inflammation score |
| - **cytokine_index** — Cytokine-related immune activation |
| - **infection_alert_score** — Early infection indicator |
| - **immune_resilience_index** — Immune robustness score |
| - **autoimmune_flare_risk** — Autoimmune activation risk |
| |
| ### Kidney & Hydration |
| - **electrolyte_proxy** — Electrolyte balance estimate |
| - **urea_clearance_index** — Renal filtration proxy |
| - **sweat_volume_rate** — Sweat-production rate |
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| ### Gut & Digestive |
| - **gut_activity_proxy** — Digestive motility signal |
| - **gut_gas_index** — Metabolic gas-related activity |
| - **digestion_efficiency** — Nutrient-absorption efficiency |
| - **microbiome_balance_score** — Microbiome stability measure |
| |
| ### Reproductive |
| - **menstrual_phase** — Cycle-phase proxy (female) |
| - **estrogen_proxy** — Estrogen-related trend (female) |
| - **testosterone_proxy** — Testosterone rhythm proxy (male) |
| - **fertility_window_score** — Fertility-window estimation (female) |
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| ### Environmental Extensions |
| - **pollen_index** — Airborne pollen load |
| - **radiation_exposure_index** — Low-level radiation proxy |
| - **geo_activity_context** — Context-aware activity/environment signal |
| |
| ### Composite AI-Derived Measures |
| - **organ_stress_index** — Multi-system stress burden |
| - **homeostasis_index** — Physiological stability measure |
| - **biological_age** — AI-derived biological age |
| - **disease_risk_map** — Multi-disease risk score |
| - **longevity_index** — Long-term longevity potential |
|
|
| --- |
|
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| ## Genetics |
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| Each participant has stable polygenic risk scores influencing long-term physiological tendencies, including: |
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| - cardiovascular risk |
| - type 2 diabetes |
| - hypertension |
| - obesity |
| - inflammation |
| - bone density |
| - sleep quality |
| - Alzheimer-related risk |
| - cancer predisposition |
| - metabolic efficiency |
| - genetic age modifier |
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| Values are scaled 0–1. |
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| --- |
|
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| ## Notes |
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| Some measurements are **currently possible**; others are **emerging** or **speculative future capabilities**. |
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| The dataset prioritizes internal consistency rather than clinical accuracy. |
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| No real wearable devices, brands, or proprietary sensors are referenced. |
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| --- |
|
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| ## Disclaimer |
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| This dataset is entirely synthetic and intended for research, simulation, prototyping, and educational use only. |
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| It does not represent any real individual or clinical outcome. |
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| ## Citation |
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| Kartoun, U. (2025). Futuristic Wearable Observational Synthetic Dataset — A synthetic, multimodal, multi-decade wearable-sensor time-series dataset. DBbun LLC. |
