Study Watch
Overview
The Verily Study Watch is a sensor-based wearable device designed for non-invasive, continuous physiological monitoring, primarily utilized in clinical research and observational studies. It is a prescription-only device. The watch features multiple physiological sensors capable of collecting biometric health information, including electrocardiogram (ECG), heart rate, electrodermal activity, and inertial movements. Data captured by the Study Watch is encrypted before being uploaded and processed in Verily’s secure cloud platform, leveraging proprietary algorithms and machine learning tools for analysis. Engineered for long-term data collection with minimal interruption, it boasts a battery life of up to one week and incorporates an e-ink display for power efficiency. The device is intended for use by healthcare professionals and adult patients (22 years or older) with known or suspected heart conditions, as well as health-conscious individuals participating in research.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Continuous physiological monitoring
- Multiple physiological sensors (ECG, heart rate, electrodermal activity, inertial movements)
- Long battery life (up to one week)
- Internal data storage and encryption
- Cloud-based data processing with algorithms and machine learning
- On-demand single-channel ECG
- Irregular pulse monitor
- E-ink display for minimal power consumption
- Designed for clinical research, not consumers
- Objective measures for sleep behavior, walking behavior, cardiac measures, and motor function
Use Cases
- Clinical trials and observational studies
- Parkinson's disease monitoring (tremors, gait, motor fluctuations, disease progression)
- Cardiovascular health research (irregular heart rhythms, atrial fibrillation screening, diagnosis, and management)
- Baseline Study (gathering fundamental dataset of human health)
- Sleep and stress monitoring in mental health research
- Ambulatory status and physical activity monitoring
What Physicians Need to Know
The Verily Study Watch is a prescription-only, clinical-grade wearable primarily designed for research and long-term physiological data collection. Physicians should leverage its FDA-cleared single-channel ECG and irregular pulse (AFib) detection capabilities for monitoring patients with known or suspected heart conditions. The device's ability to capture continuous data, including digital walking measures, can provide valuable insights for heart failure risk stratification and complement traditional in-clinic assessments. Emphasize that raw ECG data is for HCP review via a secure portal, not direct patient interpretation, ensuring clinical oversight.
The Verily Study Watch integrates with Verily's secure cloud-based platform for data transfer and processing, utilizing backend algorithms and machine learning. A key integration is with iRhythm Technologies' Zio Service, which provides continuous AFib monitoring, advanced data analytics, and AI-based arrhythmia diagnosis, aiming to streamline screening, diagnosis, and management of AFib. This collaborative approach enhances the clinical utility of the collected data.
Details
| Category | Cardiology AI, Wearables & Remote Monitoring (RPM) |
| Pricing | Not publicly available (device for clinical research and partnerships) — N/A |
| Deployment | Cloud (data uploaded from device to Verily's cloud platform). |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
Yes AI-estimated The Verily Study Watch received 510(k) clearance from the FDA as a Class II medical device for its on-demand electrocardiogram (ECG) feature (K182456, cleared January 17, 2019). It also received a new 510(k) clearance for an irregular pulse monitor feature (January 2020). It is a prescription-only device intended to record, store, transfer, and display single-channel ECG rhythms. |
| Integrations | |
| EHR | Not specified |
| Specialties | Cardiology, Neurology, Sleep Medicine |
What the Web Says
The Verily Study Watch is a prescription-only, investigational wearable device designed for clinical research and continuous monitoring of physiological data. It has received FDA 510(k) clearance for its ECG feature and for continuous monitoring of atrial fibrillation (AFib). The watch is primarily intended for researchers to collect rich, complex datasets in clinical and observational studies, rather than for direct consumer use.
Overall: MixedStrengths
- Collects high-resolution physiological data unobtrusively.
- Long battery life (up to one week) and large storage capacity for raw data.
- Designed for research-grade data collection with a focus on security and encrypted data upload.
- FDA cleared for ECG and continuous AFib monitoring.
- Potential to provide long-term data on sleep patterns, heart variability, and activity for various health conditions.
- Can be upgraded over-the-air to accommodate new technology and extensions.
Limitations
- Data is primarily for researchers; participants do not have direct access to their collected data.
- Not available for general sale; it is an investigational device.
- FDA rejected a bid to add a Parkinson's disease exam tool due to concerns about interpreting meaningful changes in patient function.
- Performance of PPG-based algorithm for AFib detection was modestly affected by vigorous activity and had a slight decrease in performance among individuals with darker skin tones.
- Some Reddit discussions indicate a perception of Verily as chaotic or not investing enough in certain initiatives.
- Sleep stage classification accuracy varies, with light sleep having the lowest accuracy.
Based on reviews from: Med Device Online, Fierce Biotech, Performance of the Verily Study Watch for measuring sleep compared to polysomnography, accessdata.fda.gov, Forbes, Smartwatch Could Reduce Fallout From False-Positive AFib Readouts, Reddit, Medthority, BioWorld, Australian Academy of Technological Sciences & Engineering, Thinkers 50, ResearchGate, FINDIT u5e73u53f0, Physician Ai Tools, Bioinformatics Tools and Big Data Analytics For Patient Care-CRC Press (2022) | PDF | Proteomics - Scribd, SlashGear
Last updated: 2026-07-19
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