Title | ||
---|---|---|
Importance Of Muscle Selection For Emg Signal Analysis During Upper Limb Rehabilitation Of Stroke Patients |
Abstract | ||
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Current work highlights the importance of muscle selection to evaluate paralysis and recovery level of stroke patients when comparing synergies of affected and non-affected side of the body. The proposed method allows the selection of important muscles that highly contribute to the specific movements according to the power and frequency distribution of the electromyographic signals.. Users participating performed steering-wheel-based therapy focused on upper limb rehabilitation. Final results show that with the appropriate muscles selection, it is possible to compute a Similarity Index between right and left arms (during symmetric motion) associated to the level of paralysis and potential recovery of a given subject. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/EMBC.2017.8037367 | 2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Field | DocType | Volume |
Rehabilitation,Upper limb,Physical therapy,Stroke,Physical medicine and rehabilitation,Paralysis,Medicine | Conference | 2017 |
ISSN | Citations | PageRank |
1094-687X | 0 | 0.34 |
References | Authors | |
1 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
A. Costa | 1 | 0 | 0.34 |
matti itkonen | 2 | 2 | 1.48 |
hirofumi yamasaki | 3 | 1 | 1.41 |
Fady Alnajjar | 4 | 66 | 12.23 |
Shingo Shimoda | 5 | 135 | 20.49 |