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Multi-Modal Home Sleep Monitoring in Older Adults
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Monitoring nocturnal heart rate with bed sensor.

M Migliorini1, J M Kortelainen, J Pärkkä

  • 1Matteo Migliorini, Department of Electronics, Informatics and Bioengineering, Politecnico di Milano, Via Golgi 39, 20133 Milano, Italy,

Methods of Information in Medicine
|June 4, 2014
PubMed
Summary

A novel bed sensor accurately estimates nocturnal heart rate (HR) compared to electrocardiography (ECG), with a failure rate under 10% for HR below 70 bpm. Performance declines with faster heart rates.

Keywords:
BCGNocturnal heart ratebed sensorsignal quality

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Area of Science:

  • Cardiovascular physiology
  • Biomedical engineering
  • Sleep medicine

Background:

  • Focus Theme: Biosignal Interpretation: Advanced Methods for Studying Cardiovascular and Respiratory Systems.
  • Assessing non-invasive methods for monitoring vital signs during sleep.
  • Importance of accurate nocturnal heart rate (HR) monitoring.

Purpose of the Study:

  • To evaluate the reliability of a bed sensor for estimating nocturnal heart rate (HR).
  • To compare HR measurements from a bed sensor with standard electrocardiography (ECG).

Main Methods:

  • Simultaneous recording of 28 sleep-deprived patients using a piezoelectric sensor mattress and polysomnography (PSG).
  • Comparison of signal quality and heart beat detection between the bed sensor and ECG.
  • Analysis of beat-to-beat interval errors and detection sensitivity.

Main Results:

  • The bed sensor achieved 92.7% sleep time coverage with good overall signal quality.
  • Average beat-to-beat error for inter-beat intervals was 1.06%.
  • Detection sensitivity for HR > 100 bpm was 28.4% with a 3.8% false positive rate, indicating under-detection of fast heart beats.

Conclusions:

  • The bed sensor demonstrates high accuracy for HR < 70 bpm ( < 10% failure rate).
  • Measurement uncertainty increases for faster heart rates due to signal morphology changes.
  • Further research may be needed to improve accuracy for high heart rate detection.