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Heart Sound Signal Analysis and Its Implementation in VHDL

  • Anjali S. PatilEmail author
  • Jayanand P. Gawande
  • Ajinkya Bankar
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 33)

Abstract

Cardiac auscultation is a primary diagnostic tool in the detection and management of cardiac disease. It is a noninvasive technique of listening to sounds produced by heart. In order to make the system reliable and proceed to make real-time operation, a new method is developed and evaluated. A novel framework for heart sound analysis based on discrete wavelet transform (DWT) decomposition and its implementation in VHDL is presented in this paper. Autocorrelation of the average Shannon energy envelope is extracted as feature from the sub-band coefficients of the heart signal with the DWT. Simulation is done in both MATLAB and Xilinx ISE 12.1 with the help of ModelSim simulator. The proposed method is evaluated on publically available datasets published in the PASCAL Classifying Heart Sounds Challenge.

Keywords

Discrete wavelet transform (DWT) Heart sound Very high-speed integrated circuit hardware description language (VHDL) 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Anjali S. Patil
    • 1
    Email author
  • Jayanand P. Gawande
    • 1
  • Ajinkya Bankar
    • 2
  1. 1.Instrumentation and Control DepartmentMKSSS’s Cummins College of Engineering for WomenPuneIndia
  2. 2.Electronics and Telecommunication DepartmentVidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering and TechnologyBaramatiIndia

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