NDLI: Practical method for predicting intended gait speed via soleus surface EMG signals

Content Provider	IET Digital Library
Author	Kim, J. H. Chung, S. H. Choi, J. H. Lee, J. M. Kim, S. J.
Abstract	The lack of patient effort during robot-assisted gait training (RAGT) is thought to be the main factor behind unsatisfactory rehabilitative efficacy among hemiparetic stroke patients. A key milestone to implement patient-driven RAGT is to predict gait intent prior to actual joint movement. Here, the authors propose a method of predicting step speed intent via surface electromyogram (EMG) signals from the soleus. Six lower-limb muscles were initially evaluated on a treadmill, and the results suggest that the soleus EMG signals correlate well with step speed. The authors further propose a simple linear regression model which predicts subsequent step speed via current soleus EMG signals with over-ground gait sessions, R 2 of ∼0.6. The proposed experimental results and simple prediction model should be applicable for RAGT without significant modifications.
Starting Page	528
Ending Page	531
Page Count	4
ISSN	00135194
Volume Number	56
e-ISSN	1350911X
Issue Number	Issue 11, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/56/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2020.0090
Journal	Electronics Letters
Publisher Date	2020-03-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bioelectric Signal Biological And Medical Control System Biology And Medical Computing Digital Signal Processing Electrical Activity in Neurophysiological Processes Electrodiagnostics And Other Electrical Measurement Technique Electromyography Gait Analysis Gait Intent Hemiparetic Stroke Patients Intended Gait Speed Joint Movement Lower-limb Muscles Medical Robotics Medical Signal Processing Over-ground Gait Sessions Patient Care And Treatment Patient Effort Patient Rehabilitation Patient-driven RAGT Physics of Body Movement Probability Theory Regression Analysis Rehabilitative Efficacy Robot-assisted Gait Training Robotics Signal Processing And Detection Simple Linear Regression Model Soleus EMG Signal Soleus Surface EMG Signal Statistics Step Speed Intent Stochastic Linearised SCUC Surface Electromyogram Signal
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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

Intended gait speed prediction via swing limb kinematics applicable for patients with slow gait

Method for restoring PPG signals using ECG correspondences and SVR

Data compression of excitatory postsynaptic potentials

Foetal ECG extraction by support vector regression

Think and it's done [prosthetic design and production]

Gesture recognition for transhumeral prosthesis control using EMG and NIR

On ECG reconstruction using weighted-compressive sensing

Development of a prototype of portable FES rehabilitation system for relearning of gait for hemiplegic subjects

Are ultra-short heart rate variability features good surrogates of short-term ones? State-of-the-art review and recommendations

Practical method for predicting intended gait speed via soleus surface EMG signals

Similar Documents

Intended gait speed prediction via swing limb kinematics applicable for patients with slow gait

Method for restoring PPG signals using ECG correspondences and SVR

Data compression of excitatory postsynaptic potentials

Foetal ECG extraction by support vector regression

Think and it's done [prosthetic design and production]

Gesture recognition for transhumeral prosthesis control using EMG and NIR

On ECG reconstruction using weighted-compressive sensing

Development of a prototype of portable FES rehabilitation system for relearning of gait for hemiplegic subjects

Are ultra-short heart rate variability features good surrogates of short-term ones? State-of-the-art review and recommendations

Practical method for predicting intended gait speed via soleus surface EMG signals