疼痛自动评估的第五版 (AAP 2025)
Zakia Hammal1, Steffen Walter2, Nadia Bianchi-Berthouze3
1Robotics Institute, Carnegie Mellon University, Pittsburgh, USA.
概括
自动化疼痛评估使用行为和生理数据客观地测量不适. 这项技术正在进步,尽管仍处于早期阶段,以提高疼痛监测的可靠性.
科学领域:
- 疼痛研究 疼痛研究
- 生物医学工程 生物医学工程
- 人与计算机的互动.
背景情况:
- 疼痛沟通中的个人差异需要客观测量.
- 行为指标 (面部表情,发声,身体运动) 和生理反应是疼痛评估的关键.
- 自动化疼痛评估提供了一个有希望的方法来提高监测可靠性.
研究的目的:
- 为了突出当前关于自动化疼痛评估的研究.
- 促进跨学科的合作和讨论.
- 加速客观疼痛监测方面的进展.
主要方法:
- 关于疼痛的行为和生理指标的文献综述.
- 讨论自动化疼痛评估方面的进展和挑战.
- 通过面部表情,发声,身体运动和生理/神经反应识别可测量的指数.
主要成果:
- 在识别疼痛的行为和生理指标方面取得了实质性的进展.
- 自动化疼痛评估是一个新兴领域,数据集越来越多.
- 尽管取得了进展,但该领域仍处于早期阶段.
结论:
- 自动化疼痛评估显示了可靠的疼痛监测的希望.
- 持续的研究和跨学科的合作对于推进该领域至关重要.
- 第五届AAP研讨会旨在促进这一进展.
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