title: Signal quality classification for an ambulatory monitoring system.
abstract: A signal quality classification algorithm is presented to evaluate signal quality in ambulatory monitoring system. Acoustic based signal is classified as good signal, weak signal or noisy signal. Certain features in the acquired signal are extracted and analyzed to differentiate the class of signal quality. With this classification, wrong physiological estimation due to poor signal quality can be eliminated to avoid wrong conclusions and instructions in the ambulatory system.
authors.affiliation: Sharp Laboratories of America, USA.
authors.forename: Yongji
authors.initials: Y
authors.lastname: Fu
authors.forename: Hallberg S
authors.initials: HS
authors.lastname: Bryan
authors.forename: Isaac
authors.initials: I
authors.lastname: Yang
authors.forename: Kyle
authors.initials: K
authors.lastname: Lai
mesh_terms: D000465:Algorithms; D016477:Artifacts; D006801:Humans; D018670:Monitoring, Ambulatory / Q000379:methods*; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted