Title :
Detection of hypovolemia using short-time Fourier transform analysis of S1 heart sounds
Author :
Fan, Wensheng ; Brooks, Dana H. ; Mandel, J. ; Calalang, I. ; Philip, J.H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
Abstract :
We present preliminary findings from applying the short-time spectral analysis to intra-operatively recorded heart sound signals. The goal is to detect hypovolemia as revealed by changes in the S1 and S4 heart sound. We present a statistic based on the temporal distribution of energy bursts as a candidate classification feature
Keywords :
Fourier transforms; acoustic signal processing; bioacoustics; cardiology; medical signal processing; patient monitoring; pattern classification; spectral analysis; surgery; S1 heart sounds; S4 heart sound; acoustically monitored heart sounds; anesthesia; candidate classification feature; energy bursts; hypovolemia detection; intra-operatively recorded heart sound signals; short-time Fourier transform analysis; short-time spectral analysis; statistic; temporal distribution; Acoustic signal detection; Anesthesia; Discrete Fourier transforms; Fourier transforms; Frequency estimation; Heart; Humans; Signal analysis; Spectral analysis; Statistical distributions;
Conference_Titel :
Bioengineering Conference, 1995., Proceedings of the 1995 IEEE 21st Annual Northeast
Conference_Location :
Bar Harbor, ME
Print_ISBN :
0-7803-2692-X
DOI :
10.1109/NEBC.1995.513755
