| Autor: |
Tsamis, Konstantinos I., Odin, Per, Antonini, Angelo, Reichmann, Heinz, Konitsiotis, Spyridon |
| Předmět: |
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| Zdroj: |
Neurodegenerative Diseases; 2023, Vol. 23 Issue 1/2, p13-19, 7p |
| Abstrakt: |
Background: Technological evolution leads to the constant enhancement of monitoring systems and recording symptoms of diverse disorders. Summary: For Parkinson's disease, wearable devices empowered with machine learning analysis are the main modules for objective measurements. Software and hardware improvements have led to the development of reliable systems that can detect symptoms accurately and be implicated in the follow-up and treatment decisions. Key Messages: Among many different devices developed so far, the most promising ones are those that can record symptoms from all extremities and the trunk, in the home environment during the activities of daily living, assess gait impairment accurately, and be suitable for a long-term follow-up of the patients. Such wearable systems pave the way for a paradigm shift in the management of patients with Parkinson's disease. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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