袜子
智能手机应用程序
皮肤电导
计算机科学
人工智能
移动应用程序
医学
机器学习
物理医学与康复
物理疗法
人机交互
生物医学工程
万维网
计算机网络
作者
Helen Korving,Di Zhou,Hong‐Bing Xiang,P.S. Sterkenburg,Panos Markopoulos,Emilia Barakova
标识
DOI:10.1142/s0129065722500472
摘要
Background: Where self-report is unfeasible or observations are difficult, physiological estimates of pain are needed. Methods: Pain-data from 30 healthy adults were gathered to create a database of physiological pain responses. A model was then developed, to analyze pain-data and visualize the AI-estimated level of pain on a mobile app. Results: The initial low precision and F1-score of the pain classification algorithm were resolved by interpolating a percentage of similar data. Discussion: This system presents a novel approach to assess pain in noncommunicative people with the use of a sensor sock, AI predictor and mobile app. Performance analysis and the limitations of the AI algorithm are discussed.
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