Literature DB >> 16298543

Comparison of stimulation patterns for FES-cycling using measures of oxygen cost and stimulation cost.

K J Hunt1, C Ferrario, S Grant, B Stone, A N McLean, M H Fraser, D B Allan.   

Abstract

AIM: The energy efficiency of FES-cycling in spinal cord injured subjects is very much lower than that of normal cycling, and efficiency is dependent upon the parameters of muscle stimulation. We investigated measures which can be used to evaluate the effect on cycling performance of changes in stimulation parameters, and which might therefore be used to optimise them. We aimed to determine whether oxygen cost and stimulation cost measurements are sensitive enough to allow discrimination between the efficacy of different activation ranges for stimulation of each muscle group during constant-power cycling.
METHODS: We employed a custom FES-cycling ergometer system, with accurate control of cadence and stimulated exercise workrate. Two sets of muscle activation angles ("stimulation patterns"), denoted "P1" and "P2", were applied repeatedly (eight times each) during constant-power cycling, in a repeated measures design with a single paraplegic subject. Pulmonary oxygen uptake was measured in real time and used to determine the oxygen cost of the exercise. A new measure of stimulation cost of the exercise is proposed, which represents the total rate of stimulation charge applied to the stimulated muscle groups during cycling. A number of energy-efficiency measures were also estimated.
RESULTS: Average oxygen cost and stimulation cost of P1 were found to be significantly lower than those for P2 (paired t-test, p<0.05): oxygen costs were 0.56+/-0.03l min-1 and 0.61+/-0.04l min-1 (mean+/-S.D.), respectively; stimulation costs were 74.91+/-12.15 mC min-1 and 100.30+/-14.78 mC min-1 (mean+/-S.D.), respectively. Correspondingly, all efficiency estimates for P1 were greater than those for P2.
CONCLUSION: Oxygen cost and stimulation cost measures both allow discrimination between the efficacy of different muscle activation patterns during constant-power FES-cycling. However, stimulation cost is more easily determined in real time, and responds more rapidly and with greatly improved signal-to-noise properties than the ventilatory oxygen uptake measurements required for estimation of oxygen cost. These measures may find utility in the adjustment of stimulation patterns for achievement of optimal cycling performance.

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Year:  2005        PMID: 16298543     DOI: 10.1016/j.medengphy.2005.10.006

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  8 in total

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Authors:  Amine Metani; Lana Popović-Maneski; Sebastien Mateo; Laura Lemahieu; Vance Bergeron
Journal:  Eur J Transl Myol       Date:  2017-12-05

2.  Setting the pace: insights and advancements gained while preparing for an FES bike race.

Authors:  John McDaniel; Lisa M Lombardo; Kevin M Foglyano; Paul D Marasco; Ronald J Triolo
Journal:  J Neuroeng Rehabil       Date:  2017-11-17       Impact factor: 4.262

3.  The Effectiveness of Functional Electrical Stimulation (FES) in On-Off Mode for Enhancing the Cycling Performance of Team Phoenix at 2016 Cybathlon.

Authors:  Kenry Wc Leung; Raymond Ky Tong; Xiaojun Wang; Ginny Ty Lee; Peter Mk Pang; H W Wai; H C Leung
Journal:  Eur J Transl Myol       Date:  2017-12-06

4.  Cycle Training Using Implanted Neural Prostheses: Team Cleveland.

Authors:  John McDaniel; Lisa M Lombardo; Kevin M Foglyano; Paul D Marasco; Ronald J Triolo
Journal:  Eur J Transl Myol       Date:  2017-12-06

5.  Lactate production without hypoxia in skeletal muscle during electrical cycling: Crossover study of femoral venous-arterial differences in healthy volunteers.

Authors:  Jan Gojda; Petr Waldauf; Natália Hrušková; Barbora Blahutová; Adéla Krajčová; Tomáš Urban; Petr Tůma; Kamila Řasová; František Duška
Journal:  PLoS One       Date:  2019-03-01       Impact factor: 3.240

6.  Stochastically modulated inter-pulse intervals to increase the efficiency of functional electrical stimulation cycling.

Authors:  E A Aksöz; M A Luder; M Laubacher; R Riener; S A Binder-Macleod; K J Hunt
Journal:  J Rehabil Assist Technol Eng       Date:  2018-04-11

7.  Motorless cadence control of standard and low duty cycle-patterned neural stimulation intensity extends muscle-driven cycling output after paralysis.

Authors:  Kristen Gelenitis; Kevin Foglyano; Lisa Lombardo; John McDaniel; Ronald Triolo
Journal:  J Neuroeng Rehabil       Date:  2022-08-09       Impact factor: 5.208

8.  FES-Induced Cycling in Complete SCI: A Simpler Control Method Based on Inertial Sensors.

Authors:  Benoît Sijobert; Ronan Le Guillou; Charles Fattal; Christine Azevedo Coste
Journal:  Sensors (Basel)       Date:  2019-10-01       Impact factor: 3.576

  8 in total

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