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应用于健康的情绪识别技术:审查和挑战

Elsa S Lima¹, Camila P Perico², Bruno T L Nichio²

¹Graduate Program in Bioinformatics - SEPT, Federal University of Paraná, Curitiba, PR, Brazil.

Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)

|April 29, 2025

概括

情绪识别技术,包括脑电图和心电图,为医疗保健提供了潜力. 然而,样本大小和可重复性方面的挑战阻碍了在临床环境中广泛采用.

科学领域:

情感计算及其与医疗保健的交集.
多模式情绪识别技术.

背景情况:

情绪和健康之间的双向关系已经得到了很好的证实.
情感识别对疾病预防,诊断和治疗具有前景.
目前在医疗保健中对情绪识别的研究是有限的.

研究的目的:

探索医疗保健中情感识别研究稀缺的原因.
通过医疗保健应用来识别人类情绪检测的尚未探索的方法.
分析将情感计算应用于健康的挑战和机会.

主要方法:

对用于情绪识别的方法和技术进行系统审查.
包括较少讨论的方法:脑电图 (EEG),心电图 (ECG),热成像,皮肤导电和音频分析.
基于可复制性和人口代表性的质量评估指标的开发.

主要成果:

确定了情绪检测和识别方面的重大挑战,主要与小样本大小和研究可重现性差有关.
突出了未经探索的技术,如EEG,ECG,热摄像头和用于健康的情感计算的生物传感器.
使用已确立的指标评估现有文献的质量.

结论:

克服样本大小和可重现性方面的挑战对于在医疗保健中推进情感识别至关重要.
需要进一步的研究,以建立临床应用中情感技术的黄金标准.
探索新的感知方式可以为与健康相关的情绪识别开辟新的途径.

关键词:

情绪情绪情绪情绪健康的健康健康的健康健康的健康认可是一种认可.传感器传感器传感器技术技术的技术技术的技术.

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