Automated Assessment of Pain (AAP)

Zakia Hammal, Steffen Walter, Nadia Berthouze
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Abstract

Pain communication varies, with some patients being highly expressive regarding their pain and others exhibiting stoic forbearance and minimal verbal account of discomfort. Considerable progress has been made in defining behavioral indices of pain [1-3]. An abundant literature shows that a limited subset of facial movements, in several non-human species, encode pain intensity across the lifespan [2]. To advance reliable pain monitoring, automated assessment of pain is emerging as a powerful mean to realize that goal. Though progress has been made, this field remains in its infancy. The workshop aims to promote current research and support growth of interdisciplinary collaborations to advance this groundbreaking research.
疼痛自动评估(AAP)
疼痛的沟通方式各不相同,一些患者对自己的疼痛表现出高度的表达,而另一些患者表现出坚忍的忍耐,对不适的言语描述很少。在定义疼痛行为指标方面已经取得了相当大的进展[1-3]。大量文献表明,在一些非人类物种中,面部运动的有限子集在整个生命周期中编码疼痛强度[2]。为了推进可靠的疼痛监测,疼痛的自动评估正在成为实现这一目标的有力手段。虽然取得了进展,但这一领域仍处于起步阶段。研讨会旨在促进当前的研究和支持跨学科合作的增长,以推进这一突破性的研究。
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