Artificial intelligence in Parkinson’s disease—symptoms identification and monitoring

Author:

di Biase Lazzaro,Raiano Luigi,Caminiti Maria Letizia,Pecoraro Pasquale Maria,Lazzaro Vincenzo Di

Publisher

Elsevier

Reference69 articles.

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3. Barth J, Klucken J, Kugler P, et al. (2011) Biometric and mobile gait analysis for early diagnosis and therapy monitoring in Parkinson’s disease. 868-871. Available from https://doi.org/10.1109/IEMBS.2011.6090226.

4. A “HOLTER” for Parkinson’s disease: Validation of the ability to detect on-off states using the REMPARK system;Bayés;Gait and Posture,2018

5. Dynamic SVM detection of tremor and dyskinesia during unscripted and unconstrained activities;Cole;Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference,2012

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