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Related Experiment Video

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Multi-Modal Home Sleep Monitoring in Older Adults

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

Development of a Smart Sleep Mask with Multiple Sensors.

Bing Dang, John Dicarlo, Stanislav Lukashov

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|December 11, 2021

Summary

This study introduces a Smart Sleep Mask with integrated sensors for monitoring sleep and eye movements. This wearable device offers potential for digital biomarkers in neurodegenerative disease research and sleep disorder assessment.

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Area of Science:

Biomedical Engineering
Neuroscience
Wearable Technology

Background:

Sleep disorders and neurological conditions like stroke and epilepsy often manifest abnormal events during sleep.
Current methods for monitoring sleep and neurological activity can be cumbersome or limited in scope for at-home use.
There is a need for accessible, integrated solutions for comprehensive sleep and neurological monitoring.

Purpose of the Study:

To develop and demonstrate a Smart Sleep Mask equipped with multiple physiological sensors.
To enable direct monitoring and recording of eye movement parameters during sleep.
To create a user-friendly platform for sleep monitoring, data analysis, and potential digital biomarker discovery.

Main Methods:

Integration of 3-axis accelerometers, a respiratory acoustic sensor, and an infrared optical eye movement sensor into a sleep mask.
Development of a companion mobile application for data storage, signal processing, and analytics.
Utilizing the collected physiological data for sleep stage assessment and analysis of neurological indicators.

Main Results:

The Smart Sleep Mask successfully integrated multiple sensors for comprehensive physiological data acquisition.
Infrared optical sensors enabled direct monitoring of eye movement frequency, direction, and amplitude during sleep.
A mobile application was developed for efficient data management and analysis, facilitating insights into sleep patterns.

Conclusions:

The Smart Sleep Mask provides a user-friendly, integrated platform for at-home sleep monitoring.
This wearable technology shows promise for identifying digital biomarkers related to sleep disorders and neurodegenerative diseases.
The device offers potential clinical relevance for conditions including REM Sleep Behavior Disorder, epilepsy, and stroke-related disorders.