Design of an Above Knee Low-Cost Powered Prosthetic Leg Using Electromyography and Machine Learning

Baby, Cyril Joe; Das, Ketan Jitendra; Venugopal, P

doi:10.1007/978-981-15-0184-5_30

Cited by 3 publications

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, different kinds of interferences may affect the desired signal from the environment or due to possible device misplacements from nonexpert users [10]. Exciting challenges are further related to data transmission towards an external application where using a stable connection to provide reliable information, and to strategies to achieve a proper signal compression and feature classification to limit dissipated power, enabling the use of miniaturized batteries and memories to limit the invasiveness for the patient [11]- [14]. Thus, an essential requirement to be effective during rehabilitative tasks is the total unobtrusiveness of the equipment used to retrieve the signals, to leave the patient free to perform all the exercises without any impairment [15].…”

mentioning

confidence: 99%

Printed Multi-EMG Electrodes on the 3D Surface of an Orthosis for Rehabilitation: A Feasibility Study

et al. 2021

View full text Add to dashboard Cite

We cannot accept new source files as corrections for your article. If possible, please annotate the PDF proof we have sent you with your corrections and upload it via the Author Gateway. Alternatively, you may send us your corrections in list format. You may also upload revised graphics via the Author Gateway.Carefully check the page proofs (and coordinate with all authors); additional changes or updates WILL NOT be accepted after the article is published online/print in its final form. Please check author names and affiliations, funding, as well as the overall article for any errors prior to sending in your author proof corrections. Your article has been peer reviewed, accepted as final, and sent in to IEEE. No text changes have been made to the main part of the article as dictated by the editorial level of service for your publication.

show abstract

mentioning

confidence: 99%