Objective quantification of the severity of postural tremor based on kinematic parameters: A multi-sensory fusion study.

Critical Care Hospital-Based Medicine Nursing Primary Care Practice Management
Journal: Computer methods and programs in biomedicine
Published Date:

Abstract

BACKGROUND: Current clinical assessments of essential tremor (ET) are primarily based on expert consultation combined with reviewing patient complaints, physician expertise, and diagnostic experience. Thus, traditional evaluation methods often lead to biased diagnostic results. There is a clinical demand for a method that can objectively quantify the severity of the patient's disease.

Authors

  • Chenbin Ma
    Center for Artificial Intelligence in Medicine, Medical Innovation Research Department, PLA General Hospital, 100853, Beijing, China; Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, 100191, Beijing, China; School of Biological Science and Medical Engineering, Beihang University, 100191, Beijing, China; Shenyuan Honors College, Beihang University, 100191, Beijing, China.
  • Peng Zhang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.
  • Jiachen Wang
    Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, 37235, USA.
  • Jian Zhang
    College of Pharmacy, Ningxia Medical University, Yinchuan, NingxiaHui Autonomous Region, China.
  • Longsheng Pan
    Department of Neurosurgery, First Medical Center of Chinese PLA General Hospital, 100853, Beijing, China.
  • Xuemei Li
    School of Optometry, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
  • Chunyu Yin
    Clinics of Cadre, Department of Outpatient, First Medical Center of Chinese PLA General Hospital, 100853, Beijing, China.
  • Ailing Li
    Pusheng Yixin (Beijing) Hospital Management Co., Ltd, 100020, Beijing, China.
  • Rui Zong
    Department of Neurosurgery, First Medical Center of Chinese PLA General Hospital, 100853, Beijing, China. Electronic address: [email protected].
  • Zhengbo Zhang
    Center for Artificial Intelligence in Medicine, Medical Innovation Research Department, PLA General Hospital, 100853, Beijing, China. Electronic address: [email protected].