NDLI: Similarity of muscle synergies in human walking and cycling: Preliminary results

Content Provider	IEEE Xplore Digital Library
Author	Barroso, F. Torricelli, D. Moreno, J.C. Taylor, J. Gomez-Soriano, J. Esteban, E.B. Santos, C. Pons, J.L.
Copyright Year	2013
Description	Author affiliation: Electron. Dept., Univ. of Minho, Guimaraes, Portugal (Barroso, F.; Santos, C.) \|\| Bioeng. Group, Spanish Res. Council, Madrid, Spain (Torricelli, D.; Moreno, J.C.; Pons, J.L.) \|\| Sensorimotor Function Group at the Hosp. Nac. de Paraplejicos SESCAM in Toledo, Toledo, Spain (Taylor, J.; Gomez-Soriano, J.; Esteban, E.B.)
Abstract	Recent investigations on how the Motor System coordinates different tasks in humans have indicated that a low-dimensional structure of muscle synergies is sufficient to explain specific spatiotemporal components underlying such behaviors. In this work, we tested the hypothesis that pedaling and walking share common modular features by using the muscle synergies paradigm. Seven healthy subjects walked on a treadmill at their maximum speed and also cycled in an ergometer, set at the same walking cadence. EMG activity was recorded from 10 muscles of the most dominant leg. A Non-Negative Matrix Factorization algorithm was applied to extract synergies. Four synergies were sufficient to explain 90% of the EMG variability during walking and cycling. There were statistically significant correlations (higher than 71%) across similar synergies for each task (walking and pedaling). These preliminary results support the hypothesis of modular control across different human motor tasks and may indicate that some synergies are shared amongst different rhythmic movements.
Starting Page	6933
Ending Page	6936
File Size	869911
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6611152
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Muscles Legged locomotion Electromyography Vectors Biomechanics Electrodes Radio frequency
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Muscular activity when walking in a non-anthropomorphic wearable robot

Extraction of muscle synergies using temporal segmentation of the record: A preliminary analysis

Muscle synergies are consistent when pedaling under different biomechanical demands

Feasibility of measuring event Related Desynchronization with electroencephalography during walking

Surface EMG analysis of tibialis anterior muscle in walking with FES in stroke subjects

Principles of human locomotion: A review

Neuro-mechanics of muscle coordination during recumbent pedaling in post-acute stroke patients

Muscle synergies during walking: Comparison between young and elderly people. Preliminary results

Recovery response latencies to tripping perturbations during gait decrease with practice

Similarity of muscle synergies in human walking and cycling: Preliminary results

Similar Documents

Muscular activity when walking in a non-anthropomorphic wearable robot

Extraction of muscle synergies using temporal segmentation of the record: A preliminary analysis

Muscle synergies are consistent when pedaling under different biomechanical demands

Feasibility of measuring event Related Desynchronization with electroencephalography during walking

Surface EMG analysis of tibialis anterior muscle in walking with FES in stroke subjects

Principles of human locomotion: A review

Neuro-mechanics of muscle coordination during recumbent pedaling in post-acute stroke patients

Muscle synergies during walking: Comparison between young and elderly people. Preliminary results

Recovery response latencies to tripping perturbations during gait decrease with practice

Similarity of muscle synergies in human walking and cycling: Preliminary results