Instrumented timed up and go test and machine learning-based levodopa response evaluation: a pilot study.

Journal: Journal of neuroengineering and rehabilitation
PMID: 39294708

Abstract

BACKGROUND: The acute levodopa challenge test (ALCT) is a universal method for evaluating levodopa response (LR). Assessment of Movement Disorder Society's Unified Parkinson's Disease Rating Scale part III (MDS-UPDRS III) is a key step in ALCT, which is some extent subjective and inconvenience.

Authors

  • Jing He
    School of Management, Guilin University of Aerospace Technology, Guilin, China.
  • Lingyu Wu
    GYENNO SCIENCE CO., LTD, Shenzhen, 518000, People's Republic of China.
  • Wei Du
    Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
  • Fei Zhang
    Key Laboratory of Smart City and Environmental Modeling of Higher Education Institute, College of Resources and Environment Sciences, Xinjiang University, Ürümqi, 830046, People's Republic of China. zhangfei3s@163.com.
  • Shinuan Lin
    GYENNO SCIENCE CO., LTD, Shenzhen, 518000, People's Republic of China.
  • Yun Ling
    Department of Infectious Disease, Shanghai Public Health Clinical Center, Shanghai 200025, China.
  • Kang Ren
    Department of Oncology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
  • Zhonglue Chen
    GYENNO SCIENCE CO., LTD, Shenzhen, 518000, People's Republic of China. chenzhonglue@gyenno.com.
  • Haibo Chen
    Department of Neurology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China. dr_chenhaibo@126.com.
  • Wen Su
    Department of Neurology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China. suwendy@126.com.

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