Gait phase detection from sciatic nerve recordings in functional electrical stimulation systems for foot drop correction

Jun Uk Chu, Kang Il Song, Sungmin Han, Soo Hyun Lee, Ji Yoon Kang, Do Sik Hwang, Jun Kyo Francis Suh, Kuiwon Choi, Inchan Youn

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Cutaneous afferent activities recorded by a nerve cuff electrode have been used to detect the stance phase in a functional electrical stimulation system for foot drop correction. However, the implantation procedure was difficult, as the cuff electrode had to be located on the distal branches of a multi-fascicular nerve to exclude muscle afferent and efferent activities. This paper proposes a new gait phase detection scheme that can be applied to a proximal nerve root that includes cutaneous afferent fibers as well as muscle afferent and efferent fibers. To test the feasibility of this scheme, electroneurogram (ENG) signals were measured from the rat sciatic nerve during treadmill walking at several speeds, and the signal properties of the sciatic nerve were analyzed for a comparison with kinematic data from the ankle joint. On the basis of these experiments, a wavelet packet transform was tested to define a feature vector from the sciatic ENG signals according to the gait phases. We also propose a Gaussian mixture model (GMM) classifier and investigate whether it could be used successfully to discriminate feature vectors into the stance and swing phases. In spite of no significant differences in the rectified bin-integrated values between the stance and swing phases, the sciatic ENG signals could be reliably classified using the proposed wavelet packet transform and GMM classification methods.

Original languageEnglish
Pages (from-to)541-565
Number of pages25
JournalPhysiological measurement
Volume34
Issue number5
DOIs
Publication statusPublished - 2013 May 1

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Wavelet Analysis
Sciatic Nerve
Gait
Electric Stimulation
Muscle
Foot
Electrodes
Muscles
Exercise equipment
Skin
Ankle Joint
Fibers
Bins
Biomechanical Phenomena
Walking
Rats
Kinematics
Classifiers
Experiments

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Physiology
  • Biomedical Engineering
  • Physiology (medical)

Cite this

Chu, Jun Uk ; Song, Kang Il ; Han, Sungmin ; Lee, Soo Hyun ; Kang, Ji Yoon ; Hwang, Do Sik ; Suh, Jun Kyo Francis ; Choi, Kuiwon ; Youn, Inchan. / Gait phase detection from sciatic nerve recordings in functional electrical stimulation systems for foot drop correction. In: Physiological measurement. 2013 ; Vol. 34, No. 5. pp. 541-565.
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Gait phase detection from sciatic nerve recordings in functional electrical stimulation systems for foot drop correction. / Chu, Jun Uk; Song, Kang Il; Han, Sungmin; Lee, Soo Hyun; Kang, Ji Yoon; Hwang, Do Sik; Suh, Jun Kyo Francis; Choi, Kuiwon; Youn, Inchan.

In: Physiological measurement, Vol. 34, No. 5, 01.05.2013, p. 541-565.

Research output: Contribution to journalArticle

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