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Zhong M, Yang Y, Zhou Y, Octavian Postolache M, Chandrasekar M, Venkat Babu G, Manikandan C, Balaji VS, Saravanan S, Elamaran V. Advanced Digital Signal Processing Techniques on the Classification of the Heart Sound Signals. j med imaging hlth inform 2020. [DOI: 10.1166/jmihi.2020.3127] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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.
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Affiliation(s)
- Meisu Zhong
- Institute of Logistics Science & Engineering, Shanghai Maritime University, Shanghai, 201306, China
| | - Yongsheng Yang
- Institute of Logistics Science & Engineering, Shanghai Maritime University, Shanghai, 201306, China
| | - Yamin Zhou
- Institute of Logistics Science & Engineering, Shanghai Maritime University, Shanghai, 201306, China
| | | | - M. Chandrasekar
- School of Electrical Electronics Engineering, Shanmugha Arts Science Technology Research Academy Deemed University, Thanjavur 613403, India
| | - G. Venkat Babu
- School of Electrical Electronics Engineering, Shanmugha Arts Science Technology Research Academy Deemed University, Thanjavur 613403, India
| | - C. Manikandan
- School of Electrical Electronics Engineering, Shanmugha Arts Science Technology Research Academy Deemed University, Thanjavur 613403, India
| | - V. S. Balaji
- School of Electrical Electronics Engineering, Shanmugha Arts Science Technology Research Academy Deemed University, Thanjavur 613403, India
| | - S. Saravanan
- Department of Information Science and Engineering, CMR Institute of Technology, Bangalore 560037, India
| | - V. Elamaran
- School of Electrical Electronics Engineering, Shanmugha Arts Science Technology Research Academy Deemed University, Thanjavur 613403, India
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