Multimodal Physiological Data
from 10+ Validated Wearables
Integrated real-world data streams for clinical research,
digital phenotyping, and remote monitoring.
Trusted Wearable Partners
Supported Wearable Sensors
Polar Health Trackers
- • HR, HRV, ECG
- • Activity, Steps
- • Sleep, Temperature
- • Gyro, Accelerometry
Movella (5 Synced Motion Sensors)
- • 3-Axis Gyroscope
- • 3-Axis Accelerometer
- • 3-Axis Magnetometer
Polar Verity Sense
- • PPG, PPI
- • HR
- • Gyro
- • Accelerometry
Mentalab EEG Device
- • EEG
- • ACC
Polar Watch
- • HR, PPI
- • ACC
Corsano Cardio Watch
- • ECG
- • HR, HRV, EDA, SpO₂
- • Sleep Stages
- • Motion, Activity
Movesense ECG Belt
- • ECG, HR, HRV
- • Temperature
- • Gyro, Accelerometry
- • Magnetometer
Smart Ring
- • HR, HRV, SpO₂
- • Activity, Steps
- • Sleep
- • Temperature
Muse Mobile EEG
- • EEG (up to 6 channels)
- • Real-time Monitoring
- • HR, HRV
- • PPG
NextMind EEG
- • EEG
- • PPG
- • Gyro
- • Accelerometer
X.on Mobile EEG
- • EEG (7 channels)
- • Gyro
- • Accelerometer
- • Impedance
Polar ECG Belt
- • ECG
- • HR, HRV
- • Gyro
- • Accelerometry
What Physiological Data We Capture
Continuous electrocardiogram monitoring for cardiac rhythm analysis, arrhythmia detection, and autonomic nervous system research.
Real-time heart rate measurement from validated photoplethysmography (PPG) and ECG sensors for cardiovascular health monitoring.
Multi-stage sleep classification using accelerometry, heart rate, and temperature signals to quantify sleep quality and duration.
Six-degree-of-freedom inertial measurement for activity recognition, fall detection, and kinematic analysis in real-world environments.
Multi-channel electroencephalography for brain activity monitoring, cognitive load assessment, and neurological biomarker extraction.
Continuous skin and core body temperature tracking for infection detection, circadian rhythm research, and fever monitoring.
Blood oxygen saturation monitoring for respiratory health, hypoxia detection, and cardiovascular assessment in clinical and remote settings.
Heart rate variability analysis reveals autonomic nervous system tone and stress load, enabling precision wellness and clinical monitoring.
Raw three-axis linear acceleration data captures movement intensity, posture transitions, and fall risk in ambulatory research studies.
Angular velocity data from gyroscopic sensors quantifies rotation, balance, and tremor in motor research and neurological studies.
Electrodermal activity reflects sympathetic nervous system arousal — a key biomarker for stress, emotion, and cognitive state assessment.
From Raw Signals to Research-Ready Data
Wearables
Signal Acquisition
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Spica SDK
Data Cleaning & Sync
AI / Feature Extraction
Dashboard
Export
Wearables
Signal Acquisition
Spica SDK
Data Cleaning & Sync
AI / Feature Extraction
Dashboard
Export
Explore The Spica Platform
Unlock Multimodal Physiological Data
See how Spica unifies wearable biosignals into a research-ready data ecosystem.
