TY - JOUR
T1 - Analysis of sEMG during voluntary movement - Part II
T2 - Voluntary response index sensitivity
AU - Hyun, Kyoon Lim
AU - Lee, Dongchul C.
AU - McKay, W. Barry
AU - Protas, Elizabeth J.
AU - Holmes, Sally A.
AU - Priebe, Michael M.
AU - Sherwood, Arthur
N1 - Funding Information:
Manuscript received October 14, 2003; revised September 7, 2004. This work was supported by the Veteran Affairs Rehabilitation Research and Development Service and by the Korea Science and Engineering Foundation (KOSEF) under a postdoctoral fellowship program. H. K. Lim, W. B. McKay, S. A. Holmes, and A. Sherwood are with the Baylor College of Medicine, Houston, TX 77030 USA, and also with the Michael E. DeBakey Medical Center, Houston, TX 77030 USA. D. C. Lee is with the Methodist Rehabilitation Center, Jackson, MS 39216 USA. E. J. Protas is with the University of Texas Medical Branch, Galveston, TX 77555 USA. M. M. Priebe is with the Edward Hines, Jr., Veteran Affairs Hospital, Hines, IL 60141 USA. Digital Object Identifier 10.1109/TNSRE.2004.838445
PY - 2004/12
Y1 - 2004/12
N2 - In this paper, a method for analyzing surface electromyographic (sEMG) data recorded from the lower-limb muscles of incomplete spinal-cord injured (iSCI) subjects is evaluated. sEMG was recorded bilaterally from quadriceps, adductor, hamstring, tibialis anterior, and triceps surae muscles during voluntary ankle dorsiflexion performed in the supine position as part of a comprehensive motor control assessment protocol. Analysis of the sEMG centered on two features, the magnitude of activation and the degree of similarity [similarity index (SI)] of the sEMG distribution to that of healthy subjects performing the same maneuver (n = 10). The analysis calculations resulted in response vectors (RV) that were compared to healthy-subject-derived prototype response vectors resulting in a voluntary response index (VRI) [1]. Incomplete SCI subjects (n = 9) were used to test the sensitivity of this analysis method. They were given supported-weight treadmill ambulation training, which is expected to improve or at least not cause a deterioration of voluntary motor control. The VRI provided evidence that the quantitative sEMG analysis method used was able to differentiate between healthy subjects and those with iSCI, characterize individual differences among iSCI subjects, and track motor control changes occurring over time.
AB - In this paper, a method for analyzing surface electromyographic (sEMG) data recorded from the lower-limb muscles of incomplete spinal-cord injured (iSCI) subjects is evaluated. sEMG was recorded bilaterally from quadriceps, adductor, hamstring, tibialis anterior, and triceps surae muscles during voluntary ankle dorsiflexion performed in the supine position as part of a comprehensive motor control assessment protocol. Analysis of the sEMG centered on two features, the magnitude of activation and the degree of similarity [similarity index (SI)] of the sEMG distribution to that of healthy subjects performing the same maneuver (n = 10). The analysis calculations resulted in response vectors (RV) that were compared to healthy-subject-derived prototype response vectors resulting in a voluntary response index (VRI) [1]. Incomplete SCI subjects (n = 9) were used to test the sensitivity of this analysis method. They were given supported-weight treadmill ambulation training, which is expected to improve or at least not cause a deterioration of voluntary motor control. The VRI provided evidence that the quantitative sEMG analysis method used was able to differentiate between healthy subjects and those with iSCI, characterize individual differences among iSCI subjects, and track motor control changes occurring over time.
KW - Electromyography (EMG)
KW - Motor control
KW - Spinalcord injuries
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U2 - 10.1109/TNSRE.2004.838445
DO - 10.1109/TNSRE.2004.838445
M3 - Article
C2 - 15614997
AN - SCOPUS:10244277959
SN - 1534-4320
VL - 12
SP - 416
EP - 421
JO - IEEE Transactions on Neural Systems and Rehabilitation Engineering
JF - IEEE Transactions on Neural Systems and Rehabilitation Engineering
IS - 4
ER -