PDAssess: A Privacy-preserving Free-speech based Parkinson's Disease Daily Assessment System

Author:

Yang Baichen1ORCID,Hu Qingyong1ORCID,Xie Wentao2ORCID,Wang Xinchen3ORCID,Luo Wei3ORCID,Zhang Qian1ORCID

Affiliation:

1. The Hong Kong University of Science and Technology, Hong Kong, Hong Kong

2. The Hong Kong University of Science and Technology and Southern University of Science and Technology, Hong Kong, Hong Kong

3. Zhejiang University, Hang Zhou, China

Publisher

ACM

Reference82 articles.

1. Giovanni Abbruzzese, Roberta Marchese, Laura Avanzino, and Elisa Pelosin. 2016. Rehabilitation for Parkinson's disease: Current outlook and future challenges. Parkinsonism & related disorders 22 (2016), S60--S64.

2. An algorithm for Parkinson's disease speech classification based on isolated words analysis;Amato Federica;Health Information Science and Systems,2021

3. Meysam Asgari and Izhak Shafran. 2010. Predicting severity of Parkinson's disease from speech. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology. IEEE, 5201--5204.

4. Parkinson's disease monitoring from gait analysis via foot-worn sensors;Aşuroğlu Tunç;Biocybernetics and Biomedical Engineering,2018

5. Alexei Baevski, Steffen Schneider, and Michael Auli. 2019. vq-wav2vec: Self-supervised learning of discrete speech representations. arXiv preprint arXiv:1910.05453 (2019).

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