title: Long-term vital sign measurement using a non-contact vital sign sensor inside an office cubicle setting.
abstract: Heart and respiration rates can be wirelessly measured by extracting the phase shift caused by the periodic displacement of a patient's chest wall. We have developed a phased-array Doppler-based non-contact vital sign (NCVS) sensor capable of long-term vital signs monitoring using an automatic patient tracking and movement detection algorithm. Our NCVS sensor achieves non-contact heart rate monitoring with accuracies of over 90% (i.e, within ±5 Beats-Per-Minute vs. a reference sensor) across a large number of data points collected over various days of the week inside a typical office cubicle setting at a distance of 1.5 meters.
authors.forename: T
authors.initials: T
authors.lastname: Hall
authors.forename: N A
authors.initials: NA
authors.lastname: Malone
authors.forename: J
authors.initials: J
authors.lastname: Tsay
authors.forename: J
authors.initials: J
authors.lastname: Lopez
authors.forename: T
authors.initials: T
authors.lastname: Nguyen
authors.forename: R E
authors.initials: RE
authors.lastname: Banister
authors.forename: D Y C
authors.initials: DY
authors.lastname: Lie
mesh_terms: D000465:Algorithms; D004867:Equipment Design; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008991:Monitoring, Physiologic / Q000295:instrumentation* / Q000379:methods; D009068:Movement; D056152:Respiratory Rate / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted; D055986:Vital Signs