medRxiv · All· Vanchinathan, V. L., Farah, M., Singh, A., Zhang, C., Palani, R., Osei-Owusu, N., Desai, R., Hamkins, J., Iglesias Hernandez, D., Hernandez, M. E., Pantelyat, A. L., Grill, S. ·· 1 天前AI 评分35
日常活动中的短时段惯性测量单元数据可量化评估帕金森病严重程度与功能能力
Short intervals of inertial measurement unit data collected during activities of daily living can provide a quantitative method to assess disease severity and functional ability in Parkinson's disease
AI 导读
一项纳入39名帕金森病患者与7名健康对照的试点研究发现，刷牙和梳发时的短时段惯性测量单元数据可量化评估疾病严重程度与任务表现。XGBoost模型在梳发数据上区分患者与对照、识别患者自报功能受损的平衡准确率分别为0.864和0.869，刷牙数据对应为0.752和0.686。
来源：medRxiv · All · medrxiv.org