Acquisition and analysis of electromyographic data associated with dynamic movements of the arm
| Autor: | G. A. L. Reed, P. A. Lynn, M. Gandy, S. W. Johnson, S. Miller |
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| Rok vydání: | 1980 |
| Předmět: |
Stroke patient
medicine.diagnostic_test Computers Electromyography Movement (music) business.industry Computer science Movement Biomedical Engineering Single parameter Human physiology Repeatability Computer Science Applications Task (project management) Cerebrovascular Disorders Arm medicine Humans Computer vision Artificial intelligence Trunk muscle business psychological phenomena and processes Simulation |
| Zdroj: | Medical & Biological Engineering & Computing. 18:57-64 |
| ISSN: | 1741-0444 0140-0118 |
| DOI: | 10.1007/bf02442480 |
| Popis: | A standardised movement task has been developed for an investigation of normal patterns of electromyographic (e.m.g.) activity. The subject is required to turn a cranked wheel with his arm which is supported horizontally in front of him. The movement is standardised by positioning the subject using anatomical landmarks and is defined by a single parameter, the angle of the wheel. The present report describes the acquisition and processing of e.m.g. signals from a group of arm and trunk muscles and shows that characteristic patterns of e.m.g. activity in relation to the position of the wheel can be defined. Further processing by computer may be used to obtain simple parameters for the comparison of patterns. Two normal subjects were tested in a number of sessions to demonstrate the repeatability of the processing techniques and results from a group of 20 normal subjects used to define average patterns. Preliminary results from stroke patients show significant departures from these normal patterns. |
| Databáze: | OpenAIRE |
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