Spatial distribution of HD-EMG improves identification of task and force in patients with incomplete spinal cord injury
Por:
Jordanic M, Rojas M, Mañanas MA and Alonso JF
Publicada:
29 abr 2016
Ahead of Print:
29 abr 2016
Resumen:
Recent studies show that spatial distribution of High Density surface EMG maps (HD-EMG) improves the identification of tasks and their corresponding contraction levels. However, in patients with incomplete spinal cord injury (iSCI), some nerves that control muscles are damaged, leaving some muscle parts without an innervation. Therefore, HD-EMG maps in patients with iSCI are affected by the injury and they can be different for every patient. The objective of this study is to investigate the spatial distribution of intensity in HD-EMG recordings to distinguish co-activation patterns for different tasks and effort levels in patients with iSCI. These patterns are evaluated to be used for extraction of motion intention.
Filiaciones:
Jordanic M:
Department of Automatic Control (ESAII), Biomedical Engineering Research Centre (CREB), Technical University of Catalonia UPC, Barcelona, Spain.
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain.
Rojas M:
Department of Automatic Control (ESAII), Biomedical Engineering Research Centre (CREB), Technical University of Catalonia UPC, Barcelona, Spain
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain
Mañanas MA:
Department of Automatic Control (ESAII), Biomedical Engineering Research Centre (CREB), Technical University of Catalonia UPC, Barcelona, Spain
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain
Alonso JF:
Department of Automatic Control (ESAII), Biomedical Engineering Research Centre (CREB), Technical University of Catalonia UPC, Barcelona, Spain
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain
Open Access
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