Real time breathing rate estimation from a non contact biosensor

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:630-3. doi: 10.1109/IEMBS.2010.5627275.

Abstract

An automated real time method for detecting human breathing rate from a non contact biosensor is considered in this paper. The method has low computational and RAM requirements making it well-suited to real-time, low power implementation on a microcontroller. Time and frequency domain methods are used to separate a 15s block of data into movement, breathing or absent states; a breathing rate estimate is then calculated. On a 1s basis, 96% of breaths were scored within 1 breath per minute of expert scored respiratory inductance plethysmography, while 99% of breaths were scored within 2 breaths per minute. When averaged over 30s, as is used in this respiration monitoring system, over 99% of breaths are within 1 breath per minute of the expert score.

Publication types

  • Evaluation Study

MeSH terms

  • Adult
  • Algorithms
  • Biosensing Techniques / instrumentation*
  • Computer Systems
  • Diagnosis, Computer-Assisted / instrumentation*
  • Female
  • Humans
  • Male
  • Pattern Recognition, Automated / methods
  • Polysomnography / instrumentation*
  • Reproducibility of Results
  • Respiratory Mechanics / physiology*
  • Sensitivity and Specificity
  • Signal Processing, Computer-Assisted / instrumentation*
  • Transducers*