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Related Experiment Video

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Fast and Accurate Exhaled Breath Ammonia Measurement

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A Portable Low-Cost Respiration Rate Measurement System for Sleep Apnea Detection.

Amit Bhongade, Rohit Gupta, Tapan K Gandhi

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

|December 12, 2023

Summary

A new inertial measurement unit (IMU) sensor system accurately monitors human respiration rate. Optimal performance for detecting sleep apnea (SA) was achieved with sensor placement on the left ribs using a 60-second window.

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Area of Science:

Biomedical Engineering
Physiological Monitoring
Wearable Technology

Background:

Continuous breathing monitoring is crucial for diagnosing respiratory diseases like obstructive sleep apnea (OSA).
Sleep apnea (SA) disrupts sleep, leading to daytime fatigue and irritability.
Existing monitoring systems can be cumbersome or expensive.

Purpose of the Study:

To design a cost-effective, single inertial measurement unit (IMU) sensor system for human respiration rate analysis.
To identify optimal sensor placement and window size for accurate respiration rate estimation.
To validate the system's performance against established physiological monitoring equipment.

Main Methods:

Developed a respiration monitoring system utilizing a single IMU sensor.
Experimentally determined optimal sensor placement (chest, abdomen, left ribs) and window sizes (≥60 seconds) for respiration analysis.
Validated the system's accuracy using Equivital Wireless Physiological Systems across various activities.

Main Results:

A window size of 60 seconds or greater demonstrated significantly better performance (p<0.05) than a 30-second window.
Sensor placement on the left ribs yielded the best results for sitting activities (0.32±0.18 MAE).
Chest and abdomen placements showed comparable accuracy for lying down (0.52±0.12 and 0.52±0.24 MAE, respectively).

Conclusions:

The developed IMU-based system offers a reliable, portable, and cost-effective solution for continuous respiration monitoring.
Optimal sensor placement and a minimum 60-second analysis window are key for accurate respiration rate estimation.
This technology has the potential for early detection of sleep apnea and other respiratory conditions.