2013 IEEE International Conference on Body Sensor Networks 2013
DOI: 10.1109/bsn.2013.6575510
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Using textile electrode EMG for prosthetic movement identification in transradial amputees

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Cited by 15 publications
(11 citation statements)
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“…Beyond an improvement of the technological process, avoiding the use of metallic electrodes would positively impact users' comfort, especially in long-term measurements [9], [10]. This could be a crucial aspect in specific sEMG applications such as the production of electrodes for sEMG-controlled prostheses [11].…”
Section: Introductionmentioning
confidence: 99%
“…Beyond an improvement of the technological process, avoiding the use of metallic electrodes would positively impact users' comfort, especially in long-term measurements [9], [10]. This could be a crucial aspect in specific sEMG applications such as the production of electrodes for sEMG-controlled prostheses [11].…”
Section: Introductionmentioning
confidence: 99%
“…As an alternative to disposable electrodes, recent studies have shown the possibility of creating electromyography systems using electrodes made out of conductive textiles [6], [7], [8], allowing for re-usability, and local manufacturing. In this paper, the use of embroidered electromyography sensors is investigated with view to assessing their suitability as the myoelectric interface of an affordable prosthesis.…”
Section: Introductionmentioning
confidence: 99%
“…Currently, textile electrodes have been used in long-term monitoring of electrocardiogram (ECG) [ 7 , 8 , 9 ], electromyography (EMG) [ 10 , 11 , 12 ], electroencephalogram (EEG) [ 13 ] signals, and so forth. As an example, self-fabricated textile electrodes have been successfully utilized in our laboratory to record the EMG signals for control of multifunctional myoelectric prostheses [ 14 ]. Our results suggested that the textile electrodes could work well in the control of myoelectric prostheses that would be worn by limb amputees for a quite long period every day.…”
Section: Introductionmentioning
confidence: 99%