Comparative study of a muscle stiffness sensor and electromyography and mechanomyography under fatigue conditions
- PMID: 25752771
- DOI: 10.1007/s11517-015-1271-1
Comparative study of a muscle stiffness sensor and electromyography and mechanomyography under fatigue conditions
Abstract
This paper proposes the feasibility of a stiffness measurement for muscle contraction force estimation under muscle fatigue conditions. Bioelectric signals have been widely studied for the estimation of the contraction force for physical human-robot interactions, but the correlation between the biosignal and actual motion is decreased under fatigue conditions. Muscle stiffness could be a useful contraction force estimator under fatigue conditions because it measures the same physical quantity as the muscle contraction that generates the force. Electromyography (EMG), mechanomyography (MMG), and a piezoelectric resonance-based active muscle stiffness sensor were used to analyze the biceps brachii under isometric muscle fatigue conditions with reference force sensors at the end of the joint. Compared to EMG and MMG, the change in the stiffness signal was smaller (p < 0.05) in the invariable contraction force generation test until failure. In addition, in the various contraction level force generation tests, the stiffness signal under the fatigue condition changed <10% (p < 0.05) compared with the signal under non-fatigue conditions. This result indicates that the muscle stiffness signal is less sensitive to muscle fatigue than other biosignals. This investigation provides insights into methods of monitoring and compensating for muscle fatigue.
Similar articles
-
A systematic review of muscle activity assessment of the biceps brachii muscle using mechanomyography.J Musculoskelet Neuronal Interact. 2018 Dec 1;18(4):446-462. J Musculoskelet Neuronal Interact. 2018. PMID: 30511949 Free PMC article.
-
The surface mechanomyogram as a tool to describe the influence of fatigue on biceps brachii motor unit activation strategy. Historical basis and novel evidence.Eur J Appl Physiol. 2003 Oct;90(3-4):326-36. doi: 10.1007/s00421-003-0924-1. Epub 2003 Aug 16. Eur J Appl Physiol. 2003. PMID: 12923643
-
Electromyography and mechanomyography of elbow agonists and antagonists in Parkinson disease.Muscle Nerve. 2009 Aug;40(2):240-8. doi: 10.1002/mus.21250. Muscle Nerve. 2009. PMID: 19472352
-
Mechanomyogram and electromyogram responses of upper limb during sustained isometric fatigue with varying shoulder and elbow postures.J Physiol Anthropol Appl Human Sci. 2002 Jan;21(1):29-43. doi: 10.2114/jpa.21.29. J Physiol Anthropol Appl Human Sci. 2002. PMID: 11938607
-
Assessment of muscle activity using electrical stimulation and mechanomyography: a systematic review.Biomed Eng Online. 2021 Jan 3;20(1):1. doi: 10.1186/s12938-020-00840-w. Biomed Eng Online. 2021. PMID: 33390158 Free PMC article.
Cited by
-
Progressive Rehabilitation Based on EMG Gesture Classification and an MPC-Driven Exoskeleton.Bioengineering (Basel). 2023 Jun 27;10(7):770. doi: 10.3390/bioengineering10070770. Bioengineering (Basel). 2023. PMID: 37508798 Free PMC article.
-
Application of Modern Multi-Sensor Holter in Diagnosis and Treatment.Sensors (Basel). 2020 May 7;20(9):2663. doi: 10.3390/s20092663. Sensors (Basel). 2020. PMID: 32392697 Free PMC article. Review.
-
Fatigue effect on cross-talk in mechanomyography signals of extensor and flexor forearm muscles during maximal voluntary isometric contractions.J Musculoskelet Neuronal Interact. 2021 Dec 1;21(4):481-494. J Musculoskelet Neuronal Interact. 2021. PMID: 34854387 Free PMC article.
-
Study on Muscle Fatigue Classification for Manual Lifting by Fusing sEMG and MMG Signals.Sensors (Basel). 2025 Aug 13;25(16):5023. doi: 10.3390/s25165023. Sensors (Basel). 2025. PMID: 40871887 Free PMC article.
-
A systematic review of muscle activity assessment of the biceps brachii muscle using mechanomyography.J Musculoskelet Neuronal Interact. 2018 Dec 1;18(4):446-462. J Musculoskelet Neuronal Interact. 2018. PMID: 30511949 Free PMC article.
References
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources