Premium
Restoration of Lateral Hand Grasp Using Natural Sensors
Author(s) -
Haugland Morten,
Lickel Andreas,
Riso Ron,
Adamczyk Margareth M.,
Keith Michael,
Jensen Inger Lauge,
Haase Jens,
Sinkjær Thomas
Publication year - 1997
Publication title -
artificial organs
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.684
H-Index - 76
eISSN - 1525-1594
pISSN - 0160-564X
DOI - 10.1111/j.1525-1594.1997.tb04661.x
Subject(s) - grasp , thumb , index finger , signal (programming language) , computer science , biomedical engineering , stimulation , medicine , anatomy , neuroscience , biology , programming language
A closed‐loop control system for controlling the key grip of a C6tetraplegic patient was developed. Natural sensors served as the source of thefeedbacksignal. The neural signals from cutaneous receptors were picked up by animplanted cuff electrode placed around the radial branch of the median nerveinnervating the lateral partof the index finger. Mechanical stress applied to the skin, like pressure andslips, resulted in an increase in amplitude of the recorded neural signal. Thegoal of the study wasto determine whether the recorded neural signals were able to indicate the slipof an object during lateral grasp and whether the slip could be stopped byincreasing the graspforce through functional electrical stimulation of the thumb adductor andflexor.