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Toward Development and Evaluation of Pain Level-Rating Scale for Emergency Triage based on Vocal Characteristics and Facial Expressions

机译:基于声乐特征和面部表情的应急分类疼痛程度评级规模的发展与评价

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In order to allocate the healthcare resource, triage classification system plays an important role in assessing the severity of illness of the boarding patient at emergency department. The self-report pain intensity numerical-rating scale (NRS) is one of the major modifiers of the current triage system based on the Taiwan Triage and Acuity Scale (TTAS). The validity and reliability of self-report scheme for pain level assessment is a major concern. In this study, we model the observed expressive behaviors, i.e., facial expressions and vocal characteristics, directly from audio-video recordings in order to measure pain level for patients during triage. This work demonstrates a feasible model, which achieves an accuracy of 72.3% and 51.6% in a binary and ternary pain intensity classification. Moreover, the study result reveals a significant association of current model and analgesic prescription/patient disposition after adjusted for patient-report NRS and triage vital signs.
机译:为了分配医疗保健资源,分类分类系统在评估急诊部门的寄宿患者疾病严重程度方面发挥着重要作用。自我报告疼痛强度数值评级秤(NRS)是基于台湾分类和敏锐度(TTA)的当前分类系统的主要改性剂之一。自我报告计划的止痛程度评估的有效性和可靠性是一个主要问题。在这项研究中,我们直接从音频视频录制模拟观察到的表达行为,即面部表情和声乐特征,以便在分类中测量患者的疼痛水平。这项工作展示了一种可行的模型,其在二元和三元疼痛强度分类中实现了72.3%和51.6%的准确性。此外,研究结果揭示了在调整患者报告NRS和分类生命体征后的当前模型和镇痛处方/患者处置的重要关联。

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