Automated Assessment of Pain: Prospects, Progress, and a Path Forward.
Automated Assessment of Pain: Prospects, Progress, and a Path Forward.
复制标题
DOI：
10.1145/3461615.3485671
复制
发表时间：
2021-10
期刊：
影响因子：
--
通讯作者：
中科院分区：
文献类型：
--
作者：
对疼痛的理解和控制的进步需要测量其存在、强度和其他性质的方法。评价疼痛的主要方法--口头报告--的缺点促使人们寻求其他的测量方法。测量可观察到的疼痛相关行为，如面部表情，提供了一种替代方案，但由于现有技术繁琐，应用有限。计算机视觉和机器学习技术已经成功地应用于疼痛相关面部表情的评估，这表明自动评估是可行的。在这些技术在疼痛科学和临床实践中得到更广泛的应用之前，还需要进一步的发展。建议的层面，需要处理，以促进这种发展。
Advances in the understanding and control of pain require methods for measuring its presence, intensity, and other qualities. Shortcomings of the main method for evaluating pain—verbal report—have motivated the pursuit of other measures. Measurement of observable pain-related behaviors, such as facial expressions, has provided an alternative, but has seen limited application because available techniques are burdensome. Computer vision and machine learning techniques have been successfully applied to the assessment of painrelated facial expression, suggesting that automated assessment may be feasible. Further development is necessary before such techniques can have more widespread implementation in pain science and clinical practice. Suggestions are made for the dimensions that need to be addressed to facilitate such developments.