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  1. IEEE Transactions on Rehabilitation Engineering
  2. Year : 1994 Volume : 2
  3. Issue 1
  4. Skin contact force information in sensory nerve signals recorded by implanted cuff electrodes
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Year : 2000 Volume : 8
Year : 1999 Volume : 7
Year : 1998 Volume : 6
Year : 1997 Volume : 5
Year : 1996 Volume : 4
Year : 1995 Volume : 3
Year : 1994 Volume : 2
Issue 4
Issue 3
Issue 2
Issue 1
Frequency content of whole body gait kinematic data
Artifact-free sensory nerve signals obtained from cuff electrodes during functional electrical stimulation of nearby muscles
Slip information provided by nerve cuff signals: application in closed-loop control of functional electrical stimulation
Skin contact force information in sensory nerve signals recorded by implanted cuff electrodes
Function and strength of electrically stimulated hip flexor muscles in paraplegia
Biomechanical relationship between center of gravity and center of pressure during standing
Year : 1993 Volume : 1

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Skin contact force information in sensory nerve signals recorded by implanted cuff electrodes

Content Provider IEEE Xplore Digital Library
Author Haugland, M.K. Hoffer, J.A. Sinkjaer, T.
Copyright Year 1993
Abstract When functional neuromuscular stimulation (FNS) is used to restore the use of paralyzed limbs after a spinal cord injury or stroke, it may be possible to control the stimulation using feedback information relayed by natural sensors in the skin. In this study the authors tested the hypothesis that the force applied on glabrous skin can be extracted from the electroneurographic (ENG) signal recorded from the sensory nerve. They used the central footpad of the cat hindlimb as a model of the human fingertip and recorded sensory activity with a cuff electrode chronically implanted around the tibial nerve. Their results showed that the tibial ENG signal, suitably filtered, rectified, and smoothed carries detailed static and dynamic information related to the force applied on the footpad. The authors derived a mathematical model of the force-ENG relation that provided accurate estimates of the ENG signal for a wide range of force profiles, amplitudes, and frequencies. Once fitted to data obtained in one recording session, the model could be made to fit data obtained in other sessions from the same cat, as well as from other cats, by simply adjusting its overall gain and offset. However, the model was noninvertible; i.e., the force could not be similarly predicted from the ENG signal, unless additional assumptions or restrictions were introduced. The authors discuss the reasons for these findings and their implications on the potential use of nerve signals as a source of continuous force feedback information suitable for closed-loop control of FNS.<>
Sponsorship IEEE Computer Society
Starting Page 18
Ending Page 28
Page Count 11
File Size 1154224
File Format PDF
ISSN 10636528
Volume Number 2
Issue Number 1
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 1994-03-01
Publisher Place U.S.A.
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Skin Force sensors Frequency estimation Neuromuscular stimulation Signal restoration Spinal cord injury Neurofeedback Relays Testing Data mining
Content Type Text
Resource Type Article
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