Can spatial filtering separate voluntary and involuntary components in children with dyskinetic cerebral palsy?
| Autor: | Denise J. Berger, Terence D. Sanger, Andrea d'Avella, Matteo Bertucco, Cassie N. Borish |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Male
02 engineering and technology Electromyography Families Medical Conditions 0302 clinical medicine Medicine and Health Sciences Muscle activity Child Musculoskeletal System Children Dystonia Movement Disorders Multidisciplinary medicine.diagnostic_test Movement (music) Muscles Neurodegenerative Diseases Muscle analysis Uncorrelated Arms Bioassays and Physiological Analysis Neurology Engineering and Technology Medicine Female Anatomy Psychology Muscle Electrophysiology Dyskinetic cerebral palsy Research Article medicine.medical_specialty Adolescent Movement Science 0206 medical engineering Research and Analysis Methods Cerebral palsy 03 medical and health sciences Physical medicine and rehabilitation Muscle components medicine Humans Muscle Skeletal Spatial Analysis Electrophysiological Techniques Biology and Life Sciences medicine.disease 020601 biomedical engineering Age Groups Speech Signal Processing Turnover Body Limbs People and Places Signal Processing Population Groupings Linear regression analysis 030217 neurology & neurosurgery |
| Zdroj: | PLoS ONE, Vol 16, Iss 4, p e0250001 (2021) PLoS ONE |
| ISSN: | 1932-6203 |
| Popis: | The design of myocontrolled devices faces particular challenges in children with dyskinetic cerebral palsy because the electromyographic signal for control contains both voluntary and involuntary components. We hypothesized that voluntary and involuntary components of movements would be uncorrelated and thus detectable as different synergistic patterns of muscle activity, and that removal of the involuntary components would improve online EMG-based control. Therefore, we performed a synergy-based decomposition of EMG-guided movements, and evaluated which components were most controllable using a Fitts’ Law task. Similarly, we also tested which muscles were most controllable. We then tested whether removing the uncontrollable components or muscles improved overall function in terms of movement time, success rate, and throughput. We found that removal of less controllable components or muscles did not improve EMG control performance, and in many cases worsened performance. These results suggest that abnormal movement in dyskinetic CP is consistent with a pervasive distortion of voluntary movement rather than a superposition of separable voluntary and involuntary components of movement. |
| Databáze: | OpenAIRE |
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