On the Construction of an Electronic Stethoscope with Real-Time Heart Sound De-Noising Feature

被引:0
|
作者
Chao, Chun-Tang [1 ]
Maneetien, Nopadon [1 ]
Wang, Chi-Jo [1 ]
机构
[1] So Taiwan Univ, Dept Elect Engn, Tainan, Taiwan
关键词
Adaptive Filter; Adaptive Line Enhancer; Electronic stethoscope; Heart sound noise; Lung sound; RECORDINGS; REDUCTION;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we investigate the aspects of constructing an electronic stethoscope with the capability to filter out heart sound from the lung sound pickups in real time. Such a capability is most useful for the clinical diagnosis of pulmonary diseases. The proposed filter design is based on the adaptive line enhancer (ALE) filter structure to be implemented in an FPGA based platform. The DE2-70 development board and Audio CODEC are used in the design. Experiments on a preliminary setup of the proposed design demonstrate its efficacy.
引用
收藏
页码:521 / 524
页数:4
相关论文
共 50 条
  • [21] A wavelet based de-noising approach for real-time signal procession in switched reluctance motor drives
    Khorbotly, S
    Khalil, A
    Carletta, J
    Husain, I
    IECON 2005: THIRTY-FIRST ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-3, 2005, : 1437 - 1442
  • [22] A real-time 5/3 lifting wavelet HD-video de-noising system based on FPGA
    Huang Q.
    Liu J.
    Huang, Qiaojie (qjhuang@gdaib.edu.cn), 1600, Inst. of Scientific and Technical Information of China (23): : 212 - 220
  • [23] Heart sound de-noising using wavelet and empirical mode decomposition based thresholding methods
    Fan, Shaocan
    Sekar, Booma Devi
    Mak, Peng Un
    Pun, Sio Hang
    Vai, Mang I.
    DATA SCIENCE AND KNOWLEDGE ENGINEERING FOR SENSING DECISION SUPPORT, 2018, 11 : 1470 - 1477
  • [24] A real-time 5/3 lifting wavelet HD-video de-noising system based on FPGA
    黄巧洁
    Liu Jiancheng
    HighTechnologyLetters, 2017, 23 (02) : 212 - 220
  • [25] System simulation and comparative analysis of foetal heart sound de-noising techniques for advanced phonocardiography
    Mittra, A. K.
    Shukla, Anupam
    Zadgaonkar, A. S.
    INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY, 2007, 1 (01) : 73 - 85
  • [26] Kernel PCA for feature extraction and de-noising in nonlinear regression
    Rosipal, R
    Girolami, M
    Trejo, LJ
    Cichocki, A
    NEURAL COMPUTING & APPLICATIONS, 2001, 10 (03): : 231 - 243
  • [27] De-Noising of Life Feature Signals Based on Wavelet Transform
    Liu, Yi
    Ouyang, Jianfei
    Yan, Yonggang
    INDUSTRIAL ENGINEERING, MACHINE DESIGN AND AUTOMATION (IEMDA 2014) & COMPUTER SCIENCE AND APPLICATION (CCSA 2014), 2015, : 284 - 291
  • [28] Kernel PCA for Feature Extraction and De-Noising in Nonlinear Regression
    Roman Rosipal
    Mark Girolami
    Leonard J. Trejo
    Andrzej Cichocki
    Neural Computing & Applications, 2001, 10 : 231 - 243
  • [29] De-noising Filter Study of the Sound-Source Using the DWT
    Hwang, So-Yeon
    Han, Jong-Ho
    Kim, Min-Gyu
    Lee, Jang-Myung
    2014 14TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2014), 2014, : 856 - 861
  • [30] Wavelet-encoding gradient-echo imaging sequence using real-time de-noising method for acquisition time reduction
    Serrai, Hacene
    Young, Richard
    MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE, 2010, 23 (04) : 197 - 201