Embedded system for non-obtrusive sleep apnea detection^.

Area of Science:

• Biomedical Engineering
• Medical Devices
• Sleep Medicine

Background:

• Sleep apnea is a prevalent condition requiring effective diagnostic tools.
• Current diagnostic methods can be costly and inconvenient for home use.
• There is a need for accessible, non-invasive sleep apnea monitoring solutions.

Purpose of the Study:

• To develop and validate a standalone system for sleep apnea recognition using under-mattress pressure sensors.
• To create a cost-efficient tool for home-based sleep apnea detection.
• To assess the accuracy and delay of the proposed sleep apnea recognition system.

Main Methods:

• A hardware component was developed for signal filtering and amplification from pressure sensors.
• A software component was implemented for advanced signal processing and apnea event identification.
• The system was evaluated for its accuracy and recognition delay in identifying sleep apnea occurrences.

Main Results:

• The developed system achieved a 91% accuracy in recognizing sleep apnea events.
• The average recognition delay for apnea events was approximately 15 seconds.
• The system demonstrated its suitability for practical application in sleep apnea monitoring.

Conclusions:

• The proposed under-mattress pressure sensor system offers a viable and accurate method for sleep apnea recognition.
• The cost-effectiveness and home-use suitability make it a valuable tool for supporting healthcare systems.
• Further employment of this technology can improve accessibility to sleep apnea diagnosis and management.