Analysis of Ankle Joint Motions for 12 Different Activities of Daily Living in the Elderly Using the Pattern Recognition Approach
| Autor: | Dohyung Lim, Hansung Kim, Hansol Seo, Jaesoo Hong, Dukyoung Jung, Sung-Chul Jun, Chang-Hyung Lee |
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| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Activities of daily living business.industry Mechanical Engineering Pattern recognition 02 engineering and technology Kinematics humanities Industrial and Manufacturing Engineering Plantar flexion 020303 mechanical engineering & transports 020901 industrial engineering & automation medicine.anatomical_structure 0203 mechanical engineering Pattern recognition (psychology) Medicine Artificial intelligence Electrical and Electronic Engineering Ankle business human activities Joint (geology) |
| Zdroj: | International Journal of Precision Engineering and Manufacturing. 21:1113-1126 |
| ISSN: | 2005-4602 2234-7593 |
| DOI: | 10.1007/s12541-020-00316-w |
| Popis: | The characteristics of ankle joint motions in the elderly that arise from a wide range of activities of daily living (ADLs) have not been adequately assessed using a quantitative and objective pattern recognition approach. The current study aims to analyze the characteristics of ankle joint motions for 12 different ADLs in the elderly through the pattern recognition approach; this study also aims to identify whether this analysis technique is effective, quantitative and objective in understanding the characteristics of ankle joint motions. Fifty elderly participants performed 12 ADLs that were selected based on Katz’s ADL indicators. Inertial measurement units were used to measure the ankle joint motions, and their patterns and similarities were analyzed using the pattern recognition approach. The results identified the inherent ankle joint motion features for each ADL. The similarities of the patterns of ADLs related to walking were very low (p 0.9) for dorsi/plantar flexion and low (p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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