机构：[1]Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China[2]University of Chinese Academy of Sciences, Beijing, China[3]Beijing Key Laboratory for Parkinson’s Disease, Beijing, China[4]The Beijing Key Laboratory of Mobile Computing and Pervasive Device, Beijing, China[5]Xuanwu Hospital, Capital Medical University, Beijing, China首都医科大学宣武医院[6]Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technologies University, Singapore
In clinical settings, the assessment of Parkinson's disease (PD) mainly depends on the doctor's experience and observation. Such assessment often lacks of unified standards and may result in varied diagnoses among different doctors. To cope with this problem, we propose an objective and quantified symptom assessment tool of PD on mobile devices, based on the Unified Parkinson's Disease Rating Scale (UPDRS). The mobile PD assessment tool, PdAssit, assesses PD symptoms by actively delivering six tasks and generates scores equivalent to UPDRS using machines learning models. PdAssit is applied in three essential applications, including medication response detection, symptom self-tracking and diagnostic assistance. The feasibility and effectiveness of PdAssit is demonstrated through clinical experiments.
基金：
National Key Research & Development Plan of China [2017YFB1002801]; Natural Science Foundation of China [61502456, 61572471]; Beijing Municipal Science & Technology Commission [Z161100000216140, Z171100000117013]
第一作者机构：[1]Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China[2]University of Chinese Academy of Sciences, Beijing, China[3]Beijing Key Laboratory for Parkinson’s Disease, Beijing, China[4]The Beijing Key Laboratory of Mobile Computing and Pervasive Device, Beijing, China
推荐引用方式(GB/T 7714)：
Yiqiang Chen,Xiaodong Yang,Biao Chen,et al.PdAssist: Objective and Quantified Symptom Assessment of Parkinson's Disease via Smartphone[J].2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM).2017,2017-January:939-945.doi:10.1109/BIBM.2017.8217783.
APA：
Yiqiang Chen,Xiaodong Yang,Biao Chen,Chunyan Miao&Hanchao Yu.(2017).PdAssist: Objective and Quantified Symptom Assessment of Parkinson's Disease via Smartphone.2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM),2017-January,
MLA：
Yiqiang Chen,et al."PdAssist: Objective and Quantified Symptom Assessment of Parkinson's Disease via Smartphone".2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM) 2017-January.(2017):939-945
