Quantitative assessment of essential tremor based on machine learning methods using wearable device-Reference-Cited by-同舟云学术

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Quantitative assessment of essential tremor based on machine learning methods using wearable device

Published:2022-01 Issue: Volume:71 Page:103244
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Ma Chenbin,Li Deyu,Pan Longsheng,Li Xuemei,Yin Chunyu,Li Ailing,Zhang Zhengbo,Zong Rui

Funder

National Natural Science Foundation of China

Beijing Municipal Science and Technology Commission

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference57 articles.

1. The roles of age and aging in essential tremor: an epidemiological perspective;Louis;Neuroepidemiology,2019

2. Accurate differentiation of parkinsonism and essential tremor using visual assessment of [123I]-FP-CIT SPECT imaging: The [123I]-FP-CIT study group;Benamer;Mov. Disord.,2000

3. Wearable sensors for estimation of parkinsonian tremor severity during free body movements;Hssayeni;Sensors,2019

4. Automatic classification of tremor severity in Parkinson’s disease using a wearable device;Jeon;Sensors,2017

5. Continuous in-home monitoring of essential tremor;Pulliam;Parkinsonism Relat. Disord.,2014

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