Abstract
In this paper, a novel approach for the analysis of the movement evolution in patients with Parkinson's disease is presented. The system offers the capabilities of detecting significant degradations in the motor-skills of the patients according to the physiotherapy evaluations, where seven items are measured, including: posture, balance, walking, postural changes, involuntary movements, movement coordination and rigidity. To assess their evolution, two modules are employed: a data analysis module, which uses a clustering algorithm to distribute patients according to their skills and analyses their evolution based on the last three evaluations, and a Decision Support Tool based on a Fuzzy-Logic system, which measures the state of the patient according to the results from the mentioned data analysis module and generates a report per patient including his/her state at each item as well as recommendations considering convenient exercises to be practiced. Thus, the system provides meaningful information to physiotherapists, to support them in the decision-making process.
Original language | English |
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Title of host publication | Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference |
Publisher | The Association for Computing Machinery |
Pages | 455-461 |
Number of pages | 7 |
ISBN (Print) | 9781450363907 |
DOIs | |
Publication status | Published - 2018 |
Event | 11th ACM International Conference on Pervasive Technologies Related to Assistive Environments (PETRA) - GREECE Duration: 26 Jun 2018 → 29 Jun 2018 |
Conference
Conference | 11th ACM International Conference on Pervasive Technologies Related to Assistive Environments (PETRA) |
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Period | 26/06/18 → 29/06/18 |
Keywords
- Decision support tool
- fuzzy-logic system
- data analysis
- clustering algorithms
- Parkinson's disease
- physiotherapy recommendations
- motor-skills evolution