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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Widjaja, F. Cheng Yap Shee Wing Lok Au Poignet, P. Wei Tech Ang |
| Copyright Year | 2011 |
| Description | Author affiliation: LIRMM Robotics Department, University of Montpellier II in France (Poignet, P.) || Department of Neurology, National Neuroscience Institute in Singapore (Wing Lok Au) || Biorobotics Lab, School of Mechanical and Aerospace Engineering in Nanyang Technological University, Singapore (Widjaja, F.; Cheng Yap Shee; Wei Tech Ang) |
| Abstract | In this paper, we propose a novel anti-phase tremor compensation method using surface electromyography (SEMG) and accelerometer (ACC). The usefulness of the SEMG signal is that it precedes the generated joint movement by 20–100 ms (electromechanical delay, EMD). Hence by detecting the tremor in advance, there is enough time window to do the necessary computation and to actuate the antagonist muscle by Functional Electrical Stimulation (FES). This is also possible because the time taken for FES to actuate the muscle is significantly less than that of the neural signal, as detected by SEMG. Specifically, what is proposed in this paper is algorithm to an estimate the EMD and to determine when to start/stop the FES such that anti-phase tremor cancellation. Experimental result from one Essential Tremor patient show 57% reduction in tremor power as measured by the ACC. |
| Starting Page | 3694 |
| Ending Page | 3699 |
| File Size | 801076 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781612843865 |
| ISSN | 10504729 |
| e-ISBN | 9781612843858 |
| DOI | 10.1109/ICRA.2011.5979865 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-09 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Delay Wrist Accelerometers Muscles Real time systems Estimation Signal processing algorithms |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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