Literature DB >> 11133910

Fatigue in mammalian skeletal muscle stimulated under computer control.

A K Wise1, D L Morgan, J E Gregory, U Proske.   

Abstract

Functional electrical stimulation (FES) is used to provide paralyzed human subjects with postural support and a limited range of movements. Problems encountered with FES include jerky movements from tension oscillations during stimulation and rapid muscle fatigue. In this paper, we report experiments on anesthetized cats that test a new, computer-controlled method of stimulation of the muscle nerve supply, distributed across several inputs, which reduces these problems. After 5 min of continuous, distributed stimulation of the medial gastrocnemius muscle at 6 pulses per second (pps) across 6 channels, tension fell to 55.9 +/- 3.9% (SE) of its original value. In comparison, after 5 min of synchronous stimulation of one muscle portion at 36 pps, tension fell to 11 +/- 3.7%. At higher stimulation rates, 10 pps per channel (distributed) and 60 pps (synchronous), the differences in fatigue were even greater. Similar results were obtained when an intermittent, rather than a continuous, stimulation protocol was used. These findings indicate that distributed stimulation has important advantages over other methods for applications such as FES.

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Year:  2001        PMID: 11133910     DOI: 10.1152/jappl.2001.90.1.189

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  11 in total

1.  Effect of eccentric muscle contractions on Golgi tendon organ responses to passive and active tension in the cat.

Authors:  J E Gregory; C L Brockett; D L Morgan; N P Whitehead; U Proske
Journal:  J Physiol       Date:  2002-01-01       Impact factor: 5.182

2.  Fatigue-related depression of the feline monosynaptic gastrocnemius-soleus reflex.

Authors:  Ivana Kalezic; Larisa A Bugaychenko; Alexander I Kostyukov; Alexander I Pilyavskii; Milos Ljubisavljevic; Uwe Windhorst; Håkan Johansson
Journal:  J Physiol       Date:  2003-11-28       Impact factor: 5.182

3.  The effect of functional electrical stimulation cycling on late functional improvement in patients with chronic incomplete spinal cord injury.

Authors:  E Yaşar; B Yılmaz; S Göktepe; S Kesikburun
Journal:  Spinal Cord       Date:  2015-02-17       Impact factor: 2.772

4.  Distributed stimulation increases force elicited with functional electrical stimulation.

Authors:  Alie J Buckmire; Danielle R Lockwood; Cynthia J Doane; Andrew J Fuglevand
Journal:  J Neural Eng       Date:  2018-04       Impact factor: 5.379

5.  Coordinated, multi-joint, fatigue-resistant feline stance produced with intrafascicular hind limb nerve stimulation.

Authors:  R A Normann; B R Dowden; M A Frankel; A M Wilder; S D Hiatt; N M Ledbetter; D A Warren; G A Clark
Journal:  J Neural Eng       Date:  2012-03-14       Impact factor: 5.379

6.  Changes in passive tension of muscle in humans and animals after eccentric exercise.

Authors:  N P Whitehead; N S Weerakkody; J E Gregory; D L Morgan; U Proske
Journal:  J Physiol       Date:  2001-06-01       Impact factor: 5.182

7.  The influence of fatigue on damage from eccentric contractions in the gastrocnemius muscle of the cat.

Authors:  D L Morgan; J E Gregory; U Proske
Journal:  J Physiol       Date:  2004-10-14       Impact factor: 5.182

8.  Mitigation of excessive fatigue associated with functional electrical stimulation.

Authors:  Alie J Buckmire; Tapas J Arakeri; J P Reinhard; Andrew J Fuglevand
Journal:  J Neural Eng       Date:  2018-08-31       Impact factor: 5.379

9.  Reflex regulation during sustained and intermittent submaximal contractions in humans.

Authors:  Jacques Duchateau; Costantino Balestra; Alain Carpentier; Karl Hainaut
Journal:  J Physiol       Date:  2002-06-15       Impact factor: 5.182

10.  Control of Dynamic Limb Motion Using Fatigue-Resistant Asynchronous Intrafascicular Multi-Electrode Stimulation.

Authors:  Mitchell A Frankel; V John Mathews; Gregory A Clark; Richard A Normann; Sanford G Meek
Journal:  Front Neurosci       Date:  2016-09-13       Impact factor: 4.677

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