K-numberK251574
Device nameSleep Watch
ApplicantAmbulatory Monitoring, Inc.
Product codeLEL
Device classClass II
Decision dateJul 31, 2025
DecisionSubstantially Equivalent
Regulation882.5050
AI Summary extracted from FDA summary PDF · never regenerated
Intended use

The Sleep Watch is a wrist-worn activity monitor that tracks physical movement during sleep using accelerometry to estimate sleep quantity, quality, and circadian rhythms. It collects data from multiple sensors (accelerometer, gyroscope, PPG, temperature, light) and transmits processed results to a cloud platform for review by healthcare professionals. The device is intended for passive, noninvasive monitoring in home environments for children and older patients.

Technological characteristics

Both the Sleep Watch and predicate Wrist Actigraph use accelerometry-based algorithms to assess sleep and circadian rhythms. The Sleep Watch adds gyroscope, PPG, Bluetooth/WiFi connectivity, and rechargeable batteries, whereas the predicate used only accelerometry, a light sensor, and infrared data communication. Both are wristwatch-form-factor devices with Type BF protection and ISO 10993-1 biocompatibility compliance.

Test standards cited

IEC 60601-1 (general electrical safety), IEC 60601-1-2 (electromagnetic disturbances), IEC 60601-1-11 (home healthcare environment), IEC 62304 (medical device software lifecycle), ISO 14971 (risk management), ANSI/UL 2900-2-1 (software cybersecurity), and ISO 10993-1 (biocompatibility).

Substantial equivalence argument

Both devices are classified as LEL biofeedback devices with identical intended use (sleep/circadian monitoring via actigraphy in home settings for children and older patients). The core actigraphy algorithms and signal processing for sleep estimation remain functionally equivalent between devices. Additional sensors (gyroscope, PPG) and modern connectivity (Bluetooth/WiFi) represent technological enhancements that do not change the fundamental intended purpose or introduce new safety concerns; risk management and software validation confirm equivalent safety and effectiveness profiles.

Extracted by AI from the official FDA summary PDF →
Source

View the full FDA submission: accessdata.fda.gov

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