自动化疼痛评估 (AAP) 和多式传感是下一代疼痛评估 (AI4Pain) 的重大挑战
Zakia Hammal1, Steffen Walter2, Nadia Berthouze3
1Carnegie Mellon University.
概括
使用面部运动进行自动化疼痛评估正在发展. 这项研究促进了跨学科的工作,以改善客观疼痛监测,以便更好地照顾患者.
科学领域:
- 行为科学是一种行为科学.
- 疼痛研究 疼痛研究
- 生物医学工程 生物医学工程
背景情况:
- 疼痛沟通表现出显著的个体变化,从表达性到坚忍性.
- 已建立的疼痛行为指数存在,面部运动被确定为各种物种的关键指标.
- 目前的疼痛评估方法通常依赖于主观报告,强调需要客观措施.
研究的目的:
- 推进可靠和自动化的疼痛监测系统.
- 促进疼痛研究领域的跨学科合作.
- 促进当前关于自动化疼痛评估的研究.
主要方法:
- 关于疼痛行为指数的现有文献的综述.
- 分析与疼痛强度相关的面部运动模式.
- 讨论新兴的自动化评估技术.
主要成果:
- 在一些非人类物种中,面部运动编码了整个生命周期的疼痛强度.
- 自动化疼痛评估显示出作为客观疼痛监测的强大工具的希望.
- 自动化疼痛评估领域仍处于发展的早期阶段.
结论:
- 自动化疼痛评估具有客观疼痛监测的巨大潜力.
- 跨学科的合作对于推动这一研究领域的发展至关重要.
- 需要进一步发展,以克服目前自动化疼痛评估的局限性.
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