RT Conference Proceedings
T1 Classification of muscle twitch response using ANN: 												Application in multi-pad electrode optimization
A1 Malešević, Nebojša
A1 Popović, Lana
A1 Bijelić, Goran
A1 Kvaščev, Goran
AB In this paper we present a method for optimization of spatial selectivity of multi-pad electrode during transcutaneous Functional Electrical Stimulation (FES). The presented method is based on measurent of individual muscle twitches using Micro-Electro-Mechanical Systems (MEMS) accelerometers positioned on hand, while stimulating with low frequency electrical stimulation via pads within multi-pad electrode. When elicited, wrist or fingers flexion/extension produce different, characteristic wave shapes of acceleration, by using trained Artificial Neural Network (ANN) we can detect these characteristic signals and detect correlation of each pad and activated muscle beneath. Results presented in this paper show high degree of accurate classification of the elicited movement in inter-subject testing.
SN 9781424488209
YR 2010
FD 2010
LK https://hdl.handle.net/11556/1819
UL https://hdl.handle.net/11556/1819
LA eng
NO Malešević , N , Popović , L , Bijelić , G & Kvaščev , G 2010 , Classification of muscle twitch response using ANN : Application in multi-pad electrode optimization . in 10th Symposium on Neural Network Applications in Electrical Engineering, NEUREL-2010 - Proceedings . , 5644042 , 10th Symposium on Neural Network Applications in Electrical Engineering, NEUREL-2010 - Proceedings , pp. 11-13 , 10th Symposium on Neural Network Applications in Electrical Engineering, NEUREL-2010 , Belgrade , Serbia , 23/09/10 . https://doi.org/10.1109/NEUREL.2010.5644042
NO conference
DS TECNALIA Publications
RD 28 jul 2024