Literature DB >> 12572743

New algorithm to control a cycle ergometer using electrical stimulation.

J S Petrofsky1.   

Abstract

Data were collected from four male subjects to determine the relationships between load, speed and muscle use during cycle ergometry. These data were then used to construct equations to govern the stimulation of muscle in paralysed individuals, during cycle ergometry induced by functional electrical stimulation (FES) of the quadriceps, gluteus maximus and hamstring muscles. The algorithm was tested on four subjects who were paralysed owing to a complete spinal cord injury between T4 and T11. Using the multivariate equation, the control of movement was improved, and work was accomplished that was double (2940 Nm min(-1) compared with 5880 Nm min(-1)) that of traditional FES cycle ergometry, when muscle stimulation was also controlled by electrical stimulation. Stress on the body, assessed by cardiac output, was increased almost two-fold during maximum work with the new algorithm (81 min(-1) compared with 15 l min(-1) with the new algorithm). These data support the concept that the limitation to workload that a person can achieve on FES cycle ergometry is in the control equations and not in the paralysed muscle.

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Year:  2003        PMID: 12572743     DOI: 10.1007/BF02343534

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  31 in total

1.  Altered contractile properties of the quadriceps muscle in people with spinal cord injury following functional electrical stimulated cycle training.

Authors:  H L Gerrits; A de Haan; A J Sargeant; A Dallmeijer; M T Hopman
Journal:  Spinal Cord       Date:  2000-04       Impact factor: 2.772

Review 2.  Functional electrical stimulation and suppression of spasticity following spinal cord injury.

Authors:  K T Ragnarsson
Journal:  Bull N Y Acad Med       Date:  1992 Mar-Apr

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Journal:  Calcif Tissue Int       Date:  1997-07       Impact factor: 4.333

4.  Blood pressure and heart rate response to isometric exercise: the effect of spinal cord injury in humans.

Authors:  J S Petrofsk
Journal:  Eur J Appl Physiol       Date:  2001-10       Impact factor: 3.078

5.  Physiologic effects of functional electrical stimulation-induced exercises in spinal cord-injured individuals.

Authors:  K T Ragnarsson
Journal:  Clin Orthop Relat Res       Date:  1988-08       Impact factor: 4.176

6.  Clinical evaluation of computerized functional electrical stimulation after spinal cord injury: a multicenter pilot study.

Authors:  K T Ragnarsson; S Pollack; W O'Daniel; R Edgar; J Petrofsky; M S Nash
Journal:  Arch Phys Med Rehabil       Date:  1988-09       Impact factor: 3.966

Review 7.  The use of functional electrical stimulation for rehabilitation of spinal cord injured patients.

Authors:  J S Petrofsky; C A Phillips
Journal:  Cent Nerv Syst Trauma       Date:  1984

8.  Linear increase in optimal pedal rate with increased power output in cycle ergometry.

Authors:  J R Coast; H G Welch
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1985

9.  Experimental wound healing with electrical stimulation.

Authors:  S I Reger; A Hyodo; S Negami; H E Kambic; V Sahgal
Journal:  Artif Organs       Date:  1999-05       Impact factor: 3.094

10.  The benefit of electrical stimulation to enhance perfusion in persons with diabetes mellitus.

Authors:  E J Peters; D G Armstrong; R P Wunderlich; J Bosma; S Stacpoole-Shea; L A Lavery
Journal:  J Foot Ankle Surg       Date:  1998 Sep-Oct       Impact factor: 1.286

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  3 in total

1.  The effect of previous weight training and concurrent weight training on endurance for functional electrical stimulation cycle ergometry.

Authors:  Jerrold Scott Petrofsky; Mike Laymon
Journal:  Eur J Appl Physiol       Date:  2003-11-15       Impact factor: 3.078

2.  Heart rate regulation during cycle-ergometer exercise via event-driven biofeedback.

Authors:  Ahmadreza Argha; Steven W Su; Branko G Celler
Journal:  Med Biol Eng Comput       Date:  2016-06-03       Impact factor: 2.602

3.  OIDA: An optimal interval detection algorithm for automatized determination of stimulation patterns for FES-Cycling in individuals with SCI.

Authors:  Martin Schmoll; Ronan Le Guillou; Charles Fattal; Christine Azevedo Coste
Journal:  J Neuroeng Rehabil       Date:  2022-04-14       Impact factor: 4.262

  3 in total

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