مؤتمر
Inter-muscular coherence features to classify upper limb simple tasks
العنوان: | Inter-muscular coherence features to classify upper limb simple tasks |
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المؤلفون: | Colamarino, E., Pichiorri, F., Toppi, J., de Seta, V., Masciullo, M., Mattia, D., Cincotti, F. |
المساهمون: | Colamarino, E., Pichiorri, F., Toppi, J., de Seta, V., Masciullo, M., Mattia, D., Cincotti, F. |
سنة النشر: | 2021 |
المجموعة: | Sapienza Università di Roma: CINECA IRIS |
مصطلحات موضوعية: | Brain-Computer Interface (BC), EMG, Inter-muscular Coherence, stroke, rehabilitation |
الوصف: | The application of Hybrid Brain-Computer Interfaces (BCI) for post-stroke hand motor rehabilitation requires the investigation of new electromyographic (EMG) features, potentially able to identify pathological synergies to be discouraged. Inter-muscular coherence (IMC) is gaining attention as a descriptor of the mechanisms behind abnormal motor control in stroke patients. With the ultimate goal to exploit IMC features to control BCIs, this work aims at (a) characterizing finger extension and grasping tasks by IMC features, (b) assessing IMC feature performance in classifying different conditions. Classification results (accuracy equal to 0.81 ± 0.19) pave the way for IMC feature application in hybrid BCI control. |
نوع الوثيقة: | conference object |
اللغة: | English |
العلاقة: | info:eu-repo/semantics/altIdentifier/isbn/978-1-7281-4337-8; info:eu-repo/semantics/altIdentifier/wos/WOS:000681358200010; ispartofbook:10th International IEEE EMBS Conference on Neural Engineering-Conference Proceedings; 10th International IEEE EMBS Conference on Neural Engineering 2021 (NER2021); firstpage:57; lastpage:60; numberofpages:4; serie:INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING; http://hdl.handle.net/11573/1553687Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85107495513 |
DOI: | 10.1109/NER49283.2021.9441150 |
الإتاحة: | https://doi.org/10.1109/NER49283.2021.9441150Test http://hdl.handle.net/11573/1553687Test |
حقوق: | info:eu-repo/semantics/openAccess |
رقم الانضمام: | edsbas.1A241114 |
قاعدة البيانات: | BASE |
DOI: | 10.1109/NER49283.2021.9441150 |
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