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Filtering of intended motion for real-time tremor compensation in human upper limb using surface electromyography

Ferdinan Widjaja 1 Cheng Yap Shee 1 Philippe Poignet 2 Wei Tech Ang 1
2 DEMAR - Artificial movement and gait restoration
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : The recorded motion from (pathological) tremor patient may consist of the involuntary tremulous component and the intended motion. These two components have to be separated so that the actuation part will be able to suppress only the tremor. This paper proposes an algorithm to remove the intended motion by using an extended Kalman filter with the help of adaptive high-pass filter. The effectiveness of the algorithm is also shown in the presence of stimulation artifacts. It is part of the active pathological tremor compensation project for human upper limb.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00431185
Contributor : Philippe Poignet <>
Submitted on : Tuesday, November 10, 2009 - 6:12:42 PM
Last modification on : Monday, June 17, 2019 - 8:06:05 PM

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Ferdinan Widjaja, Cheng Yap Shee, Philippe Poignet, Wei Tech Ang. Filtering of intended motion for real-time tremor compensation in human upper limb using surface electromyography. EMBC: Engineering in Medicine and Biology Conference, Sep 2009, Minneapolis, MN, United States. pp.2296-2299, ⟨10.1109/IEMBS.2009.5332523⟩. ⟨lirmm-00431185⟩

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