Statistical analysis of Parkinson disease gait classification using artificial neural network
The aim of this study is to investigate the parameters that could be used to identify abnormal gait pattern in Parkinson's disease subjects during normal walking. Hence, three types of gait parameters namely basic, kinematic and kinetic are evaluated. Initial findings showed that the average me...
| Published in: | IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2011 |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
2011
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857887723&doi=10.1109%2fISSPIT.2011.6151536&partnerID=40&md5=cdeec893bd82b8fbd7e40a28ae749aed |