RehaMovePro: A versatile mobile stimulation system for transcutaneous FES applications

被引:15
作者
Valtin, Markus [1 ]
Kociemba, Kristian [2 ]
Behling, Carsten [2 ]
Kuberski, Bjoern [2 ]
Becker, Sebastian [2 ]
Schauer, Thomas [1 ]
机构
[1] Tech Univ Berlin, Control Syst Grp, Berlin, Germany
[2] Hasomed GmbH, Magdeburg, Germany
关键词
functional electrical stimulation; electromyography; electrode array; stimulation system;
D O I
10.4081/ejtm.2016.6076
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 [基础医学];
摘要
Functional Electrical Stimulation is a commonly used method in clinical rehabilitation and research to trigger useful muscle contractions by electrical stimuli. In this work, we present a stimulation system for transcutaneous electrical stimulation that gives extensive control over the stimulation waveform and the stimulation timing. The system supports electrode arrays, which have been suggested to achieve better selectivity and to simplify electrode placement. Electromyography (EMG) measurements are obtained from the active stimulation electrodes (between the stimulation pulses) or from separate surface EMG electrodes. The modular design enables the implementation of sophisticated stimulation control systems including external triggers or wireless sensors. This is demonstrated by the standalone implementation of a feedback-controlled drop foot neuroprosthesis, which uses a wireless inertial sensor for real-time gait phase detection and foot orientation measurement.
引用
收藏
页码:203 / 208
页数:6
相关论文
共 11 条
[1]
A myocontrolled neuroprosthesis integrated with a passive exoskeleton to support upper limb activities [J].
Ambrosini, Emilia ;
Ferrante, Simona ;
Schauer, Thomas ;
Klauer, Christian ;
Gaffuri, Marina ;
Ferrigno, Giancarlo ;
Pedrocchi, Alessandra .
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, 2014, 24 (02) :307-317
[2]
Downey R. J., 2012, P INT FUNC EL STIM S, P154
[3]
Klauer C, 2012, 2012 17TH INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS (MMAR), P108, DOI 10.1109/MMAR.2012.6347902
[4]
POPOVIC D, 2000, CONTROL MOVEMENT PHY
[5]
Seel Thomas, 2015, IFAC - Papers Online, V48, P315, DOI 10.1016/j.ifacol.2015.10.158
[6]
Seel T., 2015, CURRENT DIRECTIONS B, V1, P466, DOI DOI 10.1515/CDBME-2015-0112
[7]
Seel T., 2014, BIOMEDICAL ENG, V59, P795
[8]
Iterative learning control of a drop foot neuroprosthesis - Generating physiological foot motion in paretic gait by automatic feedback control [J].
Seel, Thomas ;
Werner, Cordula ;
Raisch, Joerg ;
Schauer, Thomas .
CONTROL ENGINEERING PRACTICE, 2016, 48 :87-97
[9]
Valtin M, 2014, IFAC P VOL, V19, P6587, DOI [DOI 10.3182/20140824-6-ZA-1003.01991, 10.3182/20140824-6-ZA-1003.01991]
[10]
Vargas Luna JL, 2014, BIOMED TECH BERL, P1045, DOI DOI 10.1515/BMT-2014-5013