DocumentCode :
139846
Title :
Correlation between muscular and nerve signals responsible for hand grasping in non-human primates
Author :
Sheshadri, Swathi ; Kortelainen, Jukka ; Nag, Sudip ; Ng, Kian Ann ; Bazley, Faith A. ; Michoud, Frederic ; Patil, Abhijit ; Orellana, Josue ; Libedinsky, Camilo ; Lahiri, Amitabha ; Chan, Louiza ; Chng, Keefe ; Cutrone, Annarita ; Bossi, Silvia ; Thakor,
Author_Institution :
Singapore Inst. for Neurotechnology (SINAPSE), Nat. Univ. of Singapore, Singapore, Singapore
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
2314
Lastpage :
2317
Abstract :
Neuroprosthetic devices that interface with the nervous system to restore functional motor activity offer a viable alternative to nerve regeneration, especially in proximal nerve injuries like brachial plexus injuries where muscle atrophy may set in before nerve re-innervation occurs. Prior studies have used control signals from muscle or cortical activity. However, nerve signals are preferred in many cases since they permit more natural and precise control when compared to muscle activity, and can be accessed with much lower risk than cortical activity. Identification of nerve signals that control the appropriate muscles is essential for the development of such a `bionic link´. Here we examine the correlation between muscle and nerve signals responsible for hand grasping in the M. fascicularis. Simultaneous recordings were performed using a 4-channel thin-film longitudinal intra-fascicular electrode (tf-LIFE) and 9 bipolar endomysial muscle electrodes while the animal performed grasping movements. We were able to identify a high degree of correlation (r > 0.6) between nerve signals from the median nerve and movement-dependent muscle activity from the flexor muscles of the forearm, with a delay that corresponded to 25 m/s nerve conduction velocity. The phase of the flexion could be identified using a wavelet approximation of the ENG. This result confirms this approach for a future neu-roprosthetic device for the treatment of peripheral nerve injuries.
Keywords :
bioelectric potentials; biomechanics; biomedical electrodes; muscle; thin films; ENG wavelet approximation; M. fascicularis; bionic link; bipolar endomysial muscle electrodes; brachial plexus injuries; cortical activity; forearm flexor muscles; four-channel thin-film longitudinal intrafascicular electrode; functional motor activity restoration; hand grasping movements; muscle atrophy; muscular-nerve signal correlation; nerve conduction velocity; nervous system; neuroprosthetic devices; nonhuman primates; peripheral nerve injury treatment; proximal nerve injuries; velocity 25 m/s; Approximation methods; Correlation; Electrodes; Electromyography; Grasping; Injuries; Muscles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944083
Filename :
6944083
Link To Document :
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