Detection of very high frequency magnetocardiographic signals within the QRS complex using discrete Daubechies wavelet transformation

被引:0
|
作者
Leder, U [1 ]
Huck, MP [1 ]
Haueisen, J [1 ]
Pohl, HP [1 ]
Nowak, H [1 ]
Muller, S [1 ]
机构
[1] Klinikum Friedrich Schiller Univ, D-07740 Jena, Germany
来源
PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 18, PTS 1-5 | 1997年 / 18卷
关键词
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The frequency domain analysis of cardiac signals is an important tool for arrhythmia rise prediction. The commonly used Butterworth filter leads to artefacts because of oscillating and phase response and is therefore not suitable for the analysis of high frequency components within the QRS complex. We applied discrete Daubechies wavelet transformation in the detection of very high frequency magnetocardiographic signals within the QRS complex. Four study groups (anterior and posterior myocardial infarction, dilated cardiomyopathy, normals) were analyzed. In all patients and normals high frequency components of about 200 Hz were present within the QRS complex. Different pattern occured between and within the groups. Daubechies wavelet transformation is an appropriate tool for time-frequency domain analysis of magnetocardiographic signals.
引用
收藏
页码:806 / 807
页数:2
相关论文
共 50 条
  • [1] QRS COMPLEX DETECTION USING OPTIMAL DISCRETE WAVELET
    Kumari, R. Shantha Selva
    Bharathi, S.
    Sadasivam, V.
    INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE AND APPLICATIONS, 2009, 8 (02) : 97 - 109
  • [2] QRS Complex Detection in ECG Signals Using the Synchrosqueezed Wavelet Transform
    Sharma, Tanushree
    Sharma, Kamalesh K.
    IETE JOURNAL OF RESEARCH, 2016, 62 (06) : 885 - 892
  • [3] QRS complex detection using double density discrete wavelet transform
    Kumari, Shantha Selva
    Sadasivam, V.
    BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS, 2008, 20 (02): : 65 - 73
  • [4] Using Daubechies Wavelet Functions to Generate Masks for Accurate QRS Detection
    Wang, Xinqi Louis
    Eklund, J. Mikael
    2017 IEEE 30TH CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2017,
  • [5] Research of wavelet transformation based detection of QRS complex in ECG
    Wang, Wen
    Sun, Shishuang
    Zhou, Yong
    2002, Beijing Inst. of Heart, Lung and Blood vessel Diseases (21):
  • [6] QRS Complex Detection in ECG Signals Using Empirical Wavelet Transform and Flower Pollination Algorithm
    Guendouzi, Fatima
    Attari, Mokhtar
    Periodica polytechnica Electrical engineering and computer science, 2022, 66 (04): : 380 - 390
  • [7] Shadow detection and removal for moving objects using Daubechies complex wavelet transform
    Khare, Manish
    Srivastava, Rajneesh Kumar
    Jeon, Moongu
    MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 77 (02) : 2391 - 2421
  • [8] Electrocardiogram-QRS Point Detection Using Discrete Wavelet Transform
    Prasad, Ashok Kumar
    Mishra, Vikas
    Garg, Raj Kumar
    JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2012, 2 (02) : 206 - 210
  • [9] Enhanced algorithm for QRS detection using discrete wavelet transform (DWT)
    Jenkal, Wissam
    Latif, Rachid
    Toumanari, Ahmed
    Dliou, Azdine
    El B'charri, Oussama
    2015 27TH INTERNATIONAL CONFERENCE ON MICROELECTRONICS (ICM), 2015, : 39 - 42
  • [10] Shadow detection and removal for moving objects using Daubechies complex wavelet transform
    Manish Khare
    Rajneesh Kumar Srivastava
    Moongu Jeon
    Multimedia Tools and Applications, 2018, 77 : 2391 - 2421