Model for prompt and effective classification of motion recovery after stroke considering muscle strength and coordination factors

Autor: Kenichi Ozaki, Izumi Kondo, Shingo Shimoda, Matti Itkonen, S Fady Alnajjar, Hiroshi Yamasaki, Shotaro Okajima, Masanori Tanimoto, Álvaro Costa-García
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Male
030506 rehabilitation
medicine.medical_specialty
Neurology
Dissociation (neuropsychology)
Computer science
medicine.medical_treatment
Muscle Fibers
Skeletal
Health Informatics
Brain damage
Electromyography
lcsh:RC321-571
03 medical and health sciences
0302 clinical medicine
Physical medicine and rehabilitation
medicine
Humans
Paralysis
Muscle Strength
Stroke recovery
Stroke
lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry
Aged
Aged
80 and over
Rehabilitation
medicine.diagnostic_test
Motion performance
Stroke Rehabilitation
Methodology
Resistance Training
Recovery of Function
medicine.disease
Motor coordination
Muscle effective strength
Muscle mirror symmetry
Muscle synergies
Ataxia
Female
Motor strength gain
medicine.symptom
0305 other medical science
Psychomotor Performance
030217 neurology & neurosurgery
Zdroj: Journal of NeuroEngineering and Rehabilitation, Vol 16, Iss 1, Pp 1-11 (2019)
Journal of NeuroEngineering and Rehabilitation
ISSN: 1743-0003
DOI: 10.1186/s12984-019-0611-z
Popis: Background Muscle synergies are now widely discussed as a method for evaluating the existence of redundant neural networks that can be activated to enhance stroke rehabilitation. However, this approach was initially conceived to study muscle coordination during learned motions in healthy individuals. After brain damage, there are several neural adaptations that contribute to the recovery of motor strength, with muscle coordination being one of them. In this study, a model is proposed that assesses motion based on surface electromyography (sEMG) according to two main factors closely related to the neural adaptations underlying motor recovery: (1) the correct coordination of the muscles involved in a particular motion and (2) the ability to tune the effective strength of each muscle through muscle fiber contractions. These two factors are hypothesized to be affected differently by brain damage. Therefore, their independent evaluation will play an important role in understanding the origin of stroke-related motor impairments. Results The model proposed was validated by analyzing sEMG data from 18 stroke patients with different paralysis levels and 30 healthy subjects. While the factors necessary to describe motion were stable across heathy subjects, there was an increasing disassociation for stroke patients with severe motor impairment. Conclusions The clear dissociation between the coordination of muscles and the tuning of their strength demonstrates the importance of evaluating these factors in order to choose appropriate rehabilitation therapies. The model described in this research provides an efficient approach to promptly evaluate these factors through the use of two intuitive indexes.
Databáze: OpenAIRE
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