Analysis of wavelet features for myoelectric signal classification

被引：0

作者：

Swiss Federal Inst of Technology, Zurich, Switzerland ^{[1
]}

机构：

来源：

Proc IEEE Int Conf Electron Circuits Syst | / 109-112期

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

共 50 条

[21] Enhancing Myoelectric Signal Classification Through Conditional Spectral Moments and Wavelet-Enhanced Time-Domain Descriptors [J].

Murugiah, Emimal ;

William, Jino Hans ;

Mariapushpam, Inbamalar Tharcis ;

Nesaian, Mahiban Lindsay .

TRAITEMENT DU SIGNAL, 2024, 41 (01) :293-302

[22] COMPUTER-ANALYSIS OF THE MYOELECTRIC SIGNAL [J].

KNAFLITZ, M ;

BALESTRA, G .

IEEE MICRO, 1991, 11 (05) :12-+

[23] Myoelectric signal compression using zero-trees of wavelet coefficients [J].

Norris, JA ;

Englehart, KB ;

Lovely, DF .

MEDICAL ENGINEERING & PHYSICS, 2003, 25 (09) :739-746

[24] Gabor Wavelet Based Features for Medical Image Analysis and Classification [J].

Buciu, Ioan ;

Gacsadi, A. .

2009 2ND INTERNATIONAL SYMPOSIUM ON APPLIED SCIENCES IN BIOMEDICAL AND COMMUNICATION TECHNOLOGIES (ISABEL 2009), 2009, :8-11

[25] Heart Sound Classification from Wavelet Decomposed Signal using Morphological and Statistical Features [J].

Munia, Tamanna T. K. ;

Tavakolian, Kouhyar ;

Verma, Ajay K. ;

Zakeri, Vahid ;

Khosrow-Khavar, Farzad ;

Fazel-Rezai, Reza ;

Akhbardeh, Alireza .

2016 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), VOL 43, 2016, 43 :597-600

[26] Discrete Wavelet based Features for PCG Signal Classification using Hidden Markov Models [J].

Touahria, Rima ;

Hacine-Gharbi, Abdenour ;

Ravier, Philippe .

PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS (ICPRAM), 2021, :334-340

[27] Motor Imagery EEG Signal Classification Scheme Based on Wavelet Domain Statistical Features [J].

Imran, S. M. ;

Talukdar, M. T. F. ;

Sakib, S. K. ;

Pathan, N. S. ;

Fattah, S. A. .

2014 1ST INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATION & COMMUNICATION TECHNOLOGY (ICEEICT 2014), 2014,

[28] A wavelet-based continuous classification scheme for multifunction myoelectric control [J].

Englehart, K ;

Hudgins, B ;

Parker, PA .

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2001, 48 (03) :302-311

[29] Sleep apnea classification using ECG-signal wavelet-PCA features [J].

Rachim, Vega Pradana ;

Li, Gang ;

Chung, Wan-Young .

BIO-MEDICAL MATERIALS AND ENGINEERING, 2014, 24 (06) :2875-2882

[30] Myoelectric Signal Classification of Targeted Muscles Using Dictionary Learning [J].

Yoo, Hyun-Joon ;

Park, Hyeong-jun ;

Lee, Boreom .

SENSORS, 2019, 19 (10)

← 1 2 3 4 5 →