title: Real time breathing rate estimation from a non contact biosensor.
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.
authors.affiliation: BiancaMed, NovaUCD, University College Dublin, 4, Ireland. redmond.shouldice@biancamed.com
authors.forename: Redmond B
authors.initials: RB
authors.lastname: Shouldice
authors.forename: Conor
authors.initials: C
authors.lastname: Heneghan
authors.forename: Gabor
authors.initials: G
authors.lastname: Petres
authors.forename: Alberto
authors.initials: A
authors.lastname: Zaffaroni
authors.forename: Patricia
authors.initials: P
authors.lastname: Boyle
authors.forename: Walter
authors.initials: W
authors.lastname: McNicholas
authors.forename: Philip
authors.initials: P
authors.lastname: de Chazal
mesh_terms: D000328:Adult; D000465:Algorithms; D015374:Biosensing Techniques / Q000295:instrumentation*; D003199:Computer Systems; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation*; D005260:Female; D006801:Humans; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods; D017286:Polysomnography / Q000295:instrumentation*; D015203:Reproducibility of Results; D015656:Respiratory Mechanics / Q000502:physiology*; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D014159:Transducers