Wrist sensor-based tremor severity quantification in Parkinson's disease using convolutional neural network-Reference-Cited by-同舟云学术

Wrist sensor-based tremor severity quantification in Parkinson's disease using convolutional neural network

Published:2018-04 Issue: Volume:95 Page:140-146
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Kim Han Byul,Lee Woong Woo,Kim Aryun,Lee Hong Ji,Park Hye Young,Jeon Hyo Seon,Kim Sang Kyong,Jeon Beomseok.,Park Kwang S.

Funder

National Research Foundation of Korea(NRF) funded by the Ministry of Science and ICTNational Research Foundation of Korea(NRF) funded by the Ministry of Science and ICT

Institute of Medical and Biological Engineering, Medical Research Center

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

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4. Evaluating machine learning algorithms estimating tremor severity ratings on the Bain–Findley scale;Yohanandan;Meas. Sci. Technol.,2016

5. Clinical validation of a precision electromagnetic tremor measurement system in participants receiving deep brain stimulation for essential tremor;Perera;Physiol. Meas.,2016

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