A deep learning approach to remotely assessing essential tremor with handwritten images

A deep learning approach to remotely assessing essential tremor with handwritten images

Abstract Essential tremor (ET) is the most prevalent movement disorder, with its incidence increasing with age, significantly impacting motor functions and quality of life. Traditional methods for assessing ET severity are often time-consuming, subjective, and require in-person visits to medical fac...

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Bibliographic Details
Main Authors: Yumeng Peng, Songliang Han, Di Wu, Chenbin Ma, Zijing Zeng, Ping He, Tian Yuan, Ying Shi, Lixuan Li, Wenjing Yang, Longsheng Pan, Zhengbo Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Essential tremor
Deep learning
Handwriting
Archimedean spiral
Transfer learning
Remotely assessing
Online Access:https://doi.org/10.1038/s41598-025-94729-0
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https://doi.org/10.1038/s41598-025-94729-0

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