Time-Frequency Distribution of Seismocardiographic Signals: A Comparative Study

• Published in: Bioengineering (Basel) Vol. 4; no. 2; p. 32
• Main Authors: Taebi, Amirtaha, Mansy, Hansen
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 07.04.2017; MDPI
• Subjects: Bioengineering; Cardiovascular disease; chirplet transform; Classification; Comparative studies; Continuous wavelet transform; Electrocardiography; Errors; Estimation; Fourier transforms; Frequency distribution; Heart; Heart function; Mathematical analysis; Polynomials; Respiration; seismocardiography; short-time Fourier transform; signal characteristics; Signal classification; signal processing; Simulation; Sound; Studies; Test procedures; time-frequency analysis; vibrocardiography; Wavelet transforms; France; United States > US; signal processing; time-frequency analysis; continuous wavelet transform; signal characteristics; short-time Fourier transform; chirplet transform; seismocardiography; vibrocardiography

Accurate estimation of seismocardiographic (SCG) signal features can help successful signal characterization and classification in health and disease. This may lead to new methods for diagnosing and monitoring heart function. Time-frequency distributions (TFD) were often used to estimate the spectro...