title: Remote sensing of heart rate and patterns of respiration on a stationary subject using 94-GHz millimeter-wave interferometry.
abstract: Using continuous wave, 94-GHz millimeter-wave interferometry, a signal representing chest wall motion can be obtained that contains both the heart rate and respiration patterns of a human subject. These components have to be separated from each other in the received signal. Our method was to use the quadrature and in-phase components of the signal, after removing the mean of each, to find the phase, unwrap it, and convert it to a displacement measurement. Using this, the power spectrum was examined for peaks, which corresponded to the heart rate and respiration rate. The displacement waveform of the chest was also analyzed for discrete heartbeats using a novel wavelet decomposition technique.
authors.affiliation: Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL 60208, USA. i-mikhelson@u.northwestern.edu
authors.forename: Ilya V
authors.initials: IV
authors.lastname: Mikhelson
authors.forename: Sasan
authors.initials: S
authors.lastname: Bakhtiari
authors.forename: Thomas W
authors.initials: TW
authors.lastname: Elmer
authors.forename: Alan V
authors.initials: AV
authors.lastname: Sahakian
mesh_terms: D004562:Electrocardiography; D006334:Heart Function Tests / Q000295:instrumentation / Q000379:methods*; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D007368:Interferometry / Q000295:instrumentation / Q000379:methods*; D056152:Respiratory Rate / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted; D058067:Wavelet Analysis