title: Time-frequency distribution technique in biological signal processing.
abstract: Time-frequency distribution (TFD) has gained wide acceptance for deterministic non-stationary signal processing, particularly for biological signals, in both basic research and commercial production. This paper presents the results of a comparison of the TFD technique with other methods for determining physiologic parameters, particularly the ventricular ejection time (VET) and (dZ/dtmax), the differentiation of the thoracic-fluid signal Z0 from non-stationary impedence cardiography dZ/dt. The TFD technique was found to be more accurate--in terms of both time and signal magnitude--than traditional methods such as the baseline and ensemble-averaging techniques when compared with phonocardiograms and hand calculations by experts in the field. It is shown that TFD can also reduce ventilatory/respiratory noise, electrical and muscle noise, and patient-motion artifacts. Correlation analysis and regression analysis as well as Bland-Altman studies showed stronger correlational methods tested.
authors.affiliation: Renaissance Technologies, Inc., Newtown, PA 18940, USA.
authors.forename: X
authors.initials: X
authors.lastname: Wang
authors.forename: H H
authors.initials: HH
authors.lastname: Sun
authors.forename: J M
authors.initials: JM
authors.lastname: Van de Water
mesh_terms: D000465:Algorithms; D016477:Artifacts; D002307:Cardiography, Impedance; D006801:Humans; D013677:Medical Laboratory Science; D009068:Movement; D009132:Muscles; D010701:Phonocardiography; D012044:Regression Analysis; D012119:Respiration; D012815:Signal Processing, Computer-Assisted; D013318:Stroke Volume; D013909:Thorax; D016276:Ventricular Function