NDLI: A multi-channel biomimetic neuroprosthesis to support treadmill gait training in stroke patients

Content Provider	IEEE Xplore Digital Library
Author	Chia, N. Ambrosini, E. Baccinelli, W. Nardone, A. Monticone, M. Ferrigno, G. Pedrocchi, A. Ferrante, S.
Copyright Year	2015
Description	Author affiliation: Posture & Movement Lab., Fondazione S Maugeri (IRCCS), Novara, Italy (Nardone, A.) \|\| Sci. Inst. of Lissone, Fondazione S Maugeri (IRCCS), Lissone, Italy (Monticone, M.) \|\| Dept. of Electron., Inf. & Bioeng., Politec. di Milano, Milan, Italy (Chia, N.; Ambrosini, E.; Baccinelli, W.; Ferrigno, G.; Pedrocchi, A.; Ferrante, S.)
Abstract	This study presents an innovative multi-channel neuroprosthesis that induces a biomimetic activation of the main lower-limb muscles during treadmill gait training to be used in the rehabilitation of stroke patients. The electrostimulation strategy replicates the physiological muscle synergies used by healthy subjects to walk on a treadmill at their self-selected speed. This strategy is mapped to the current gait sub-phases, which are identified in real time by a custom algorithm. This algorithm divides the gait cycle into six sub-phases, based on two inertial sensors placed laterally on the shanks. Therefore, the pre-defined stimulation profiles are expanded or stretched based on the actual gait pattern of each single subject. A preliminary experimental protocol, involving 10 healthy volunteers, was carried out to extract the muscle synergies and validate the gait-detection algorithm, which were afterwards used in the development of the neuroprosthesis. The feasibility of the neuroprosthesis was tested on one healthy subject who simulated different gait patterns, and a chronic stroke patient. The results showed the correct functioning of the system. A pilot study of the neurorehabilitation treatment for stroke patients is currently being carried out.
Starting Page	7159
Ending Page	7162
File Size	813799
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7320043
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Muscles Electromyography Training Physiology Sensors Biomechanics Integrated circuits
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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