Guiding the Training of Users With a Pattern Similarity Biofeedback to Improve the Performance of Myoelectric Pattern Recognition

التفاصيل البيبلوغرافية
العنوان: Guiding the Training of Users With a Pattern Similarity Biofeedback to Improve the Performance of Myoelectric Pattern Recognition
المؤلفون: Amélie Touillet, Noël Martinet, Etienne de Montalivet, Nathanaël Jarrassé, Kevin Bailly, Jean Paysant
المساهمون: Assistance aux Gestes et Applications THErapeutiques (AGATHE), Institut des Systèmes Intelligents et de Robotique (ISIR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut Régional de Médecine Physique et de Réadaptation Louis Pierquin [Nancy] (IRR Louis Pierquin), Jarrasse, Nathanael, Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut des Systèmes Intelligents et de Robotique (ISIR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
المصدر: IEEE Transactions on Neural Systems and Rehabilitation Engineering
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Institute of Electrical and Electronics Engineers, In press, pp.1-11. ⟨10.1109/TNSRE.2020.3003077⟩
IEEE Transactions on Neural Systems and Rehabilitation Engineering, In press, pp.1-11. ⟨10.1109/TNSRE.2020.3003077⟩
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE), 2020.
سنة النشر: 2020
مصطلحات موضوعية: 030506 rehabilitation, Computer science, medicine.medical_treatment, Interface (computing), Biomedical Engineering, Artificial Limbs, Biofeedback, Session (web analytics), Pattern Recognition, Automated, [SPI.AUTO]Engineering Sciences [physics]/Automatic, 03 medical and health sciences, 0302 clinical medicine, Amputees, Similarity (psychology), Internal Medicine, medicine, Humans, Electromyography, business.industry, General Neuroscience, Rehabilitation, Biofeedback, Psychology, Pattern recognition, Visualization, [SPI.AUTO] Engineering Sciences [physics]/Automatic, Pattern recognition (psychology), False positive rate, Artificial intelligence, 0305 other medical science, business, 030217 neurology & neurosurgery, Gesture
الوصف: International audience; Next generation prosthetics will rely massively on myoelectric "Pattern Recognition" (PR) based control approaches , to improve their users' dexterity. One major identified factor of successful functioning of these approaches lies in the training of amputees and in their understanding of how those prosthetics works. We thus propose here an intuitive pattern similarity biofeedback which can be easily used to train amputees and allow them to optimize their muscular contractions to improve their control performance. Experiments were conducted on twenty able-bodied participants and one transradial amputee. Their performance in controlling an interface through a myoelectric PR algorithm was evaluated; before and after a short automatic user training session consisting in using the proposed visual biofeedback for ten participants, and using a generic PR algorithm output feedback for the others ten. Participants who were trained with the proposed biofeedback increased their classification score for the retrained gesture (by 39.4%), without affecting the overall classification performance (which progressed by 10.2%) through over-training and increase of False Positive rate as observed in the control group. Additional analysis indicates a clear change in contraction strategy only in the group who used the proposed biofeedback. These preliminary results highlight the potential of this method which does not focus so much on over-optimizing the pattern recognition algorithm or on physically training the users, but on providing them simple and intuitive information to adapt or change their motor strategies to solve some misclassification issues.
وصف الملف: application/pdf
تدمد: 1558-0210
1534-4320
DOI: 10.1109/tnsre.2020.3003077
DOI: 10.1109/TNSRE.2020.3003077⟩
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9dae51848582017ecbcdd29ccb54e65b
https://doi.org/10.1109/tnsre.2020.3003077
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....9dae51848582017ecbcdd29ccb54e65b
قاعدة البيانات: OpenAIRE
الوصف
تدمد:15580210
15344320
DOI:10.1109/tnsre.2020.3003077