A new biomechanical hand prosthesis controlled by surface electromyographic signals

被引:0
|
作者
Andrade, Nei A. [1 ]
Borges, Geovany A. [1 ]
Nascimento, Francisco A. de O. [1 ]
Romariz, Alexandre R. S. [1 ]
da Rocha, Adson F. [1 ]
机构
[1] Univ Brasilia, Dept Elect Engn, BR-70910900 Brasilia, DF, Brazil
来源
2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16 | 2007年
关键词
rehabilitation robotics; active hand prosthesis; EMG; electromyographic signals;
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
This paper describes the development of a lowcost hand prosthesis for use in patients with an amputated hand due to congenital problems or to trauma wound, who possess a part or the forearm endowed with muscular activity. The paper covers the constructive aspects of both mechanical and electronic designs. The prototype is controlled by electromyographic signals measured at the remaining part of the injured limb of the patient. The EMG signals are measured at the surface of the skin, at a point that is close to a working muscle of the amputated arm. The prosthesis allows the patient to hold objects by means of a three finger clamp. The prosthesis presented an excellent performance in preliminary tests with an amputated patient. These tests showed that the prosthesis had a very good performance regarding force and speed.
引用
收藏
页码:6142 / 6145
页数:4
相关论文
共 50 条
  • [31] A new parameter for quantifying the variability of surface electromyographic signals during gait: The occurrence frequency
    Di Nardo, Francesco
    Mengarelli, Alessandro
    Strazza, Annachiara
    Agostini, Valentina
    Knaflitz, Marco
    Burattini, Laura
    Fioretti, Sandro
    JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, 2017, 36 : 25 - 33
  • [32] Classification of electromyographic hand gesture signals using machine learning techniques
    Jia, Guangyu
    Lam, Hak-Keung
    Liao, Junkai
    Wang, Rong
    NEUROCOMPUTING, 2020, 401 : 236 - 248
  • [33] Depth vision guided hand gesture recognition using electromyographic signals
    Su, Hang
    Ovur, Salih Ertug
    Zhou, Xuanyi
    Qi, Wen
    Ferrigno, Giancarlo
    De Momi, Elena
    ADVANCED ROBOTICS, 2020, 34 (15) : 985 - 997
  • [34] Design and Construction of a Robot Hand Activated by Electromyographic Signals Mechanical Architecture
    Collahuazo S, Javier Patricio
    Ordonez M, Esteban Fernando
    2012 IEEE INTERNATIONAL SYMPOSIUM ON ROBOTIC AND SENSORS ENVIRONMENTS (ROSE 2012), 2012, : 25 - 30
  • [35] A comparative study of wavelet denoising of surface electromyographic signals
    Jiang, Ching-Fen
    Kuo, Shou-Long
    2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 2007, : 1868 - +
  • [36] Estimation of elbow angle using surface electromyographic signals
    George, K. Shalu
    Sivanandan, K. S.
    Mohandas, K. P.
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2018, 34 (06) : 4191 - 4201
  • [37] Moving approximate entropy applied to surface electromyographic signals
    Ahmad, Siti A.
    Chappell, Paul H.
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2008, 3 (01) : 88 - 93
  • [38] Processing of Myoelectric Signals for Control Assistance of Multifunctional Hand Prosthesis
    Buchenrieder, Klaus
    INTERNATIONAL MEDITERRANEAN MODELLING MULTICONFERENCE 2006, 2006, : 653 - 657
  • [39] Surface Electromyographic signal based finger prosthesis control using ANN
    Islam, Jahedul
    Sarker, Dhiman Kumar
    Das, Piyas
    2019 5TH INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRICAL ENGINEERING (ICAEE), 2019, : 826 - 831
  • [40] EVALUATION OF A MULTIFUNCTIONAL HAND PROSTHESIS CONTROLLED BY MYOELECTRIC PATTERNS
    HERBERTS, P
    ALMSTROM, C
    ACTA ORTHOPAEDICA SCANDINAVICA, 1977, 48 (02): : 240 - 240