Monitoring of Cardiorespiratory Parameters during Sleep Using a Special Holder for the Accelerometer Sensor.

Area of Science:

• Biomedical Engineering
• Sleep Medicine
• Wearable Technology

Background:

• Polysomnography is the gold standard for sleep analysis but is intrusive and costly.
• There is a need for non-invasive, unobtrusive home sleep monitoring systems for cardiorespiratory parameters.
• Accelerometer-based systems offer a potential solution for convenient sleep tracking.

Purpose of the Study:

• To validate a non-invasive, unobtrusive cardiorespiratory parameter monitoring system using an accelerometer sensor.
• To determine the optimal placement of the system for accurate measurements.
• To assess the system's performance across different sleep positions and demographics.

Main Methods:

• Development of an accelerometer-based system with an under-mattress holder.
• Signal processing including Butterworth bandpass and moving average filters.
• Data collection from 23 healthy subjects (13 males, 10 females).

Main Results:

• Achieved an average error of 2.24 bpm for heart rate and 1.52 breaths per minute for respiratory rate.
• Errors were consistent across different sleep positions and between sexes.
• Chest-level placement of the sensor was identified as optimal for cardiorespiratory measurement.

Conclusions:

• The validated system provides accurate and precise cardiorespiratory measurements non-invasively.
• The system's unobtrusive nature and accuracy make it a viable alternative for home sleep monitoring.
• Further validation in larger cohorts is recommended, but results are promising for healthy subjects.