Remote Patient Monitoring
Device-agnostic integration of medical grade and consumer wearables, continuous physiological data streaming, AI driven signal quality scoring, and automated safety alerting, unified under a single regulatory ready data model.
Simulated single-lead ECG trace with oscillating vital sign values for illustrative purposes. Clinical accuracy of production data depends on paired medical-grade device integration.
Signals and Technologies We Support
Cardiovascular
Continuous single lead electrocardiogram. Photoplethysmography derived heart rate and heart rate variability. Pulse oximetry for peripheral oxygen saturation. Blood pressure through integrated clinical grade devices.
Neurological
Continuous electroencephalography through reusable dry electrode systems designed for ambulatory and home use studies. Seizure event capture and structured investigator review workflows. Sleep architecture analysis from EEG and accelerometry.
Metabolic
Continuous glucose monitoring integration in validation through clinical grade sensor partnerships. Respiratory rate from PPG derived and rPPG signals. Energy expenditure and metabolic activity through accelerometry.
Autonomic and Dermal
Electrodermal activity for stress and autonomic response quantification. Skin temperature with clinical grade accuracy. Respiratory waveform through multi sensor fusion.
Activity and Behavioral
Triaxial accelerometry for step count, gait metrics, and activity classification. Sleep staging and sleep quality scoring. Fall detection and posture recognition.
Contactless Monitoring
Camera based contactless vital sign extraction through remote photoplethysmography. Heart rate, respiratory rate, and stress indicators obtained from standard smartphone video without wearable hardware. Designed for decentralized studies where device burden must be minimized, and for remote screening and telehealth workflows.
Continuous Monitoring, Anywhere
Turn every patient into a connected data source with broad device integration.
Broad Device Integration
Unified integration layer for clinical grade and consumer wearables, normalizing heterogeneous device data into standardized FHIR R4 observations so any sensor in our catalog can contribute to the same analysis.
Real-Time Data Streaming
Sub-second data ingestion with edge processing for bandwidth optimization. Continuous vital signs flow into your trial database without patient intervention.
AI Anomaly Detection
Machine learning models trained on clinical grade physiological data detect anomalies in real-time. Flag arrhythmias, desaturation events, and sudden vital sign changes automatically.
Automated Safety Alerts
Configurable alert cascades notify investigators, study coordinators, and medical monitors when patient data crosses safety thresholds. Tiered escalation with acknowledgment tracking.
Data Normalization
Heterogeneous device data normalized into standardized FHIR R4 Observation resources. Compare heart rate from an Apple Watch with an FDA cleared Holter in the same analysis.
Patient Engagement
Patient-facing dashboards show health trends and encourage adherence. Gamification elements, achievement badges, and personalized health insights boost device wear compliance.
Signal Quality Scoring
Automated signal quality assessment for every data point. Flag motion artifacts, sensor disconnections, and low-confidence readings before they contaminate your dataset.
A Networked Sensor Fabric
Clinical-grade instruments and consumer wearables flow into one unified device layer. Hover a category to highlight its place in the mesh.
Device Categories
Hover a category to highlight its corresponding node in the 3D mesh, or vice versa.
How It Works
From device provisioning to real-time insights in three steps.
Connect Devices
Select devices from our integration catalog or bring your own. Patients pair devices through the mobile app with guided setup, no technical expertise required.
Stream & Monitor
Continuous data flows from patient devices to your trial database. AI models analyze streams in real-time, flagging anomalies and triggering safety alerts automatically.
Analyze & Act
Normalized, quality-scored data feeds directly into your EDC and analytics modules. Generate regulatory ready device data summaries and safety narratives.
See it in action
eHealth CTMS + RPM — Medication Reminder
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