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Automatic Heart Rate Detection during Sleep Using Tracheal Audio Recordings from Wireless Acoustic Sensor
Julia Zofia Tomaszewska1, Marcel Młyńczak2, Apostolos Georgakis1
1School of Computing and Engineering, University of West London, London W5 5RF, UK.
Diagnostics (Basel, Switzerland)
|September 28, 2023
Summary
This study introduces a novel method for monitoring heart rate (HR) using tracheal audio recordings. The system achieves over 92% accuracy, offering a convenient tool for home-based sleep disorder diagnostics.
Area of Science:
- Biomedical Engineering
- Sleep Medicine
- Signal Processing
Background:
- Heart rate (HR) is a critical diagnostic parameter for assessing patient condition and diagnosing sleep disorders like sleep apnoea.
- Traditional HR monitoring methods include electrocardiography (ECG) and photoplethysmography (PPG).
Purpose of the Study:
- To investigate an alternative, non-invasive method for heart rate detection and monitoring using tracheal audio recordings.
- To develop and validate a system for convenient, home-based heart rate assessment during sleep.
Main Methods:
- Utilized tracheal audio recordings from 56 participants (6 for initial validation with ECG Holter, 50 for polysomnography comparison).
- Developed a system employing digital filtering and peak detection algorithms on audio data acquired via a wireless contact microphone in the suprasternal notch.
Main Results:
- The system achieved over 92% accuracy when validated against ECG Holter data.
- Evaluation against polysomnography-derived HR showed strong correlation (Pearson's r = 0.82-0.93) with minimal error (0.89-0.97 at ±3 BPM).
Conclusions:
- The proposed tracheal audio-based system provides precise heart rate monitoring.
- This method offers a convenient solution for home-based sleep disorder diagnostics, facilitating convenient HR assessment during sleep.
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