Paper Info
Title
Advanced Digital Signal Processing Techniques on the Classification of the Heart Sound Signals
Abstract
Speech processing subject primarily depends on the digital signal processing (DSP) methods, such as convolution, discrete Fourier transform (DFT), fast Fourier transforms (FFT), finite impulse response (FIR) and infinite impulse response (IIR) filters, FFT recursive and non-recursive digital filters. FFT processing, random signal theory, adaptive filters, upsampling and downsampling, etc. Recursive and non-recursive digital filters are primarily deployed to absorb the signal of interest signals and to block the unwanted signals (noise). Broadly, low-pass, high-pass, band-pass, and band-stop filters are implemented for filtering functions. In frequent, the DSP theories can be used for further biomedical engineering domains like biomedical imaging (MRI, ultrasound. CT, X-ray, PET) and genetic signal analysis-cum-processing too. In this article, the experiments such as voiced/unvoiced detection, formants estimation using FFT and spectrograms, pitch estimation and tracking and yes/no sound classification are used. Also, the analysis of normal/abnormal heart sound signals using simple energy computation and the zero-crossing rate and their results are obtained. For the entire study, the Matlab R2018a tool is used to obtain the simulation results. At last, the criticism, feedbacks, comments, reactions from the student are detailed for the exceptional development of the course.
Year
DOI
Venue
2020
10.1166/jmihi.2020.3127
JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS
Keywords
DocType
Volume
Digital Transform,Heart Sound,Signal Processing
Journal
10
Issue
ISSN
Citations 
9
2156-7018
0
PageRank 
References 
Authors
0.34
0
10
Name
Order
Citations
PageRank
Meisu Zhong100.68
Yongsheng Yang23010.68
Yamin Zhou300.68
M. Octavian Postolache400.34
M. Chandrasekar500.34
G. Venkat Babu600.34
C. Manikandan700.34
V. S. Balaji822.11
S. Saravanan900.68
Elamaran Vellaiappan10308.24