Analysis of the electrogastrogram using discrete wavelet transform and statistical methods to detect gastric dysrhythmia

被引:14
|
作者
Tokmakci, Mahmut [1 ]
机构
[1] Erciyes Univ, Dept Biomed Devices Technol, Biomed Res Grp, TR-38039 Kayseri, Turkey
关键词
electrogastrography; discrete wavelet transform; statistical methods;
D O I
10.1007/s10916-007-9069-9
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Electrogastrography (EGG) is a method of recording stomach electrical activity from cutaneous electrodes placed on the abdominal surface. Compared with other electrophysiological measurements, such as electrocardiography, the progress of the applicability of the EGG has been very slow. Unlike imaging or manometrical studies, stomach motility disorders are not diagnosed based only on abnormal EGG parameters. Limitations of EGG recording, processing, computation, acceptable normal parameters, technique and reading should be known to conduct subjective assessments when EGG is used to resolve stomach dysfunction. Therefore appropriate application of non-invasive EGG should go on providing more information and insight in understanding these limitations. And so the aim of this study were to contribute the evolution of the EGG to enter the clinical world as a routine check-up method and to develop new time-frequency analysis method for the detection of gastric dysrhythmia from the EGG.
引用
收藏
页码:295 / 302
页数:8
相关论文
共 50 条
  • [1] Analysis of the Electrogastrogram Using Discrete Wavelet Transform and Statistical Methods to Detect Gastric Dysrhythmia
    Mahmut Tokmakçi
    Journal of Medical Systems, 2007, 31 : 295 - 302
  • [2] HIF analysis using discrete wavelet transform
    Torres, Vicente
    Ruiz-Paredes, Hector F.
    Venegas, Vicente R.
    Ramirez Z, Salvador
    2017 IEEE INTERNATIONAL AUTUMN MEETING ON POWER, ELECTRONICS AND COMPUTING (ROPEC), 2017,
  • [3] Fatigue Data Analysis using Continuous Wavelet Transform and Discrete Wavelet Transform
    Abdullah, S.
    Sahadan, S. N.
    Nuawi, M. Z.
    Nopiah, Z. M.
    FRACTURE AND STRENGTH OF SOLIDS VII, PTS 1 AND 2, 2011, 462-463 : 461 - 466
  • [4] Analysis of gastric myoelectrical activity from the electrogastrogram signals based on wavelet transform and line length feature
    Al Kafee, Abdullah
    Akan, Aydin
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE, 2018, 232 (04) : 403 - 411
  • [5] Selecting Statistical Characteristics of Brain Signals to Detect Epileptic Seizures using Discrete Wavelet Transform and Perceptron Neural Network
    Abbasi, Rezvan
    Esmaeilpour, Mansour
    INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE, 2017, 4 (05): : 33 - 38
  • [6] Cavitation Signal Analysis Using Discrete Wavelet Transform
    Ramadevi, R.
    2014 INTERNATIONAL CONFERENCE ON CONTROL, INSTRUMENTATION, COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES (ICCICCT), 2014, : 558 - 560
  • [7] Analysis of Multispectral Image Using Discrete Wavelet Transform
    Singh, Hari Kumar
    Tomar, S. K.
    Singh, Pooja
    2013 THIRD INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING & COMMUNICATION TECHNOLOGIES (ACCT 2013), 2013, : 59 - 62
  • [8] Analysis of Myocardial Infarction Using Discrete Wavelet Transform
    Jayachandran, E. S.
    Joseph K, Paul
    Acharya U, R.
    JOURNAL OF MEDICAL SYSTEMS, 2010, 34 (06) : 985 - 992
  • [9] Automatic Phonocardiography Analysis Using Discrete Wavelet Transform
    Chowdhury, Md Tanzil Hoque
    Poudel, Khem Narayan
    Hu, Yating
    ICVISP 2019: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON VISION, IMAGE AND SIGNAL PROCESSING, 2019,
  • [10] Detection of patients with functional dyspepsia using wavelet transform applied to their electrogastrogram
    Chacon, M.
    Curilem, G.
    Acuna, G.
    Defilippi, C.
    Madrid, A. M.
    Jara, S.
    BRAZILIAN JOURNAL OF MEDICAL AND BIOLOGICAL RESEARCH, 2009, 42 (12) : 1203 - 1209