Development of a cerebellar ataxia diagnosis model using conditional GAN-based synthetic data generation for visuomotor adaptation task

Development of a cerebellar ataxia diagnosis model using conditional GAN-based synthetic data generation for visuomotor adaptation task

Abstract This study proposes a synthetic data generation model to create a classification framework for cerebellar ataxia patients using trajectory data from the visuomotor adaptation task. The classification objectives include patients with cerebellar ataxia, age-matched normal individuals, and you...

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Bibliographic Details
Main Authors: Jinah Kim, Sung-Ho Woo, Taekyung Kim, Won Tae Yoon, Jung Hwan Shin, Jee-Young Lee, Jeh-Kwang Ryu
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Cerebellar ataxia diagnosis
Visuomotor adaptation task
Conditional generative adversarial network
Synthetic data
Digital healthcare
Online Access:https://doi.org/10.1186/s12911-024-02720-y
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https://doi.org/10.1186/s12911-024-02720-y

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