Parkinson’s disease (PD) is a common neurodegenerative movement disorder among older individuals. As one of the typical symptoms of PD, tremor is a critical reference in the PD assessment. However, expert assessment of tremor is a time-consuming and laborious process that poses considerable challenges to the medical evaluation of PD. The research group proposed a novel model, Global Temporal-difference Shift Network (GTSN), to estimate the MDS-UPDRS (Movement Disorder Society-Unified Parkinson's Disease Rating Scale) score of PD tremors based on video. The proposal offers an automatic, objective and efficient video-based assessment method for quantifying PD tremors.
The research, titled “Vision-based estimation of MDS-UPDRS scores for quantifying Parkinson's disease tremor severity”, was published in the flagship journal, Medical Image Analysis. FNU is the first unit of the paper, with Liu Weiping, a doctoral student from the College of Photonic and Electronic Engineering, as the first author and Prof. Chen Guannan and Dr. Lin Yu from Fujian Medical University as the co-corresponding authors. The work was funded by such projects as the Fujian Provincial Health Education Joint Research Project and the Central Government's Special Fund Project for Guiding Local Scientific and Technological Development.
Paper link: https://doi.org/10.1016/j.media.2023.102754
(Translated by Zheng Ying/ Reviewed by Xie Xiujuan)