[1]朱恩江,黎明,孙践知,等.基于BiLSTM+Attention分析脑电信号测量临床护理人员心理压力[J].中国医学物理学杂志,2025,42(5):651-659.[doi:10.3969/j.issn.1005-202X.2025.05.015]
　ZHU Enjiang,LI Ming,SUN Jianzhi,et al.Measurement of psychological stress in nursing staff based on BiLSTM+Attention analysis of EEG signals[J].Chinese Journal of Medical Physics,2025,42(5):651-659.[doi:10.3969/j.issn.1005-202X.2025.05.015]
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基于BiLSTM+Attention分析脑电信号测量临床护理人员心理压力()

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
42
期数:
2025年第5期
页码:
651-659
栏目:
医学信号处理与医学仪器
出版日期:
2025-05-20

文章信息/Info

Title:
Measurement of psychological stress in nursing staff based on BiLSTM+Attention analysis of EEG signals
文章编号:
1005-202X（2025）05-0651-09
作者:
朱恩江1; 黎明1; 孙践知1; 陈晓明1; 孟文文2; 邢霞2
1.北京工商大学计算机学院，北京 100048；2.解放军总医院京北医疗区，北京 100094
Author(s):
ZHU Enjiang1;  LI Ming1;  SUN Jianzhi1; CHEN Xiaoming1;  MENG Wenwen2;  XING Xia2
1. School of Computer Science, Beijing Technology and Business University, Beijing 100048, China; 2. Jingbei Medical District of Chinese PLA General Hospital, Beijing 100094, China
关键词:
心理压力; 测量评估; 脑电信号; 深度学习; BiLSTM模型; Attention机制
Keywords:
psychological stress;  measurement and assessment;  electroencephalography signal;  deep learning;  bidirectional long short-term memory model;  attention mechanism
分类号:
R318；TP391.4
DOI:
10.3969/j.issn.1005-202X.2025.05.015
文献标志码:
A
摘要:
脑电信号作为一种非侵入性生理指标，可客观评估临床护理人员在重大突发事件中的心理应激压力水平，为精准心理干预提供科学依据，弥补传统问卷方法易受主观偏差影响的局限性。基于此，提出一种基于BiLSTM和注意力机制的心理压力分类模型，通过分析临床护理人员的脑电信号，能够更有效地对其心理压力进行分类。试验结果表明，相比传统的LSTM模型，该模型在DREAMER、Feeling Emotions公开数据集以及自建数据集上都展现出更出色的分类性能。这一研究为心理压力的评估提供一种新的方法，有助于提高临床护理工作的针对性和有效性。
Abstract:
As a non-invasive physiological indicator, electroencephalography signal provides an objective assessment of psychological stress levels among nursing staff in major public health emergencies, offering a scientific basis for targeted psychological interventions while overcoming the limitations of subjective bias inherent in traditional questionnaire-based methods. A psychological stress classification model based on bidirectional long short-term memory and attention mechanism is proposed to classify the psychological stress of clinical nurses more effectively by analyzing their electroencephalography signals. Experimental results show that the proposed model exhibits better classification performance than the traditional long short-term memory model on the DREAMER dataset, the Feeling Emotions dataset and the self-built dataset. This study provides a novel approach for assessing psychological stress, which is helpful to improve the pertinence and effectiveness of clinical nursing work.

相似文献/References:

[1]孟凡宸,曹乐,阚秀,等.基于反向传播神经网络和医疗物联网的心理压力评估方法[J].中国医学物理学杂志,2022,39(7):886.[doi:DOI:10.3969/j.issn.1005-202X.2022.07.017]
　MENG Fanchen,CAO Le,KAN Xiu,et al.Psychological pressure detection system based on BP network and IoMT[J].Chinese Journal of Medical Physics,2022,39(5):886.[doi:DOI:10.3969/j.issn.1005-202X.2022.07.017]

备注/Memo

备注/Memo:
【收稿日期】2024-12-04【基金项目】北 京 市 军 队 护 理 创 新 与 培 育 专 项 计 划 培 育 省 级 课题（2021HL104）【作者简介】朱 恩 江 ，硕 士 研 究 生 ，研 究 方 向 ：智 慧 医 疗 ，E-mail:2849272452@qq.com【通信作者】邢霞，护士长，研究方向：临床护理，E-mail: xingxiabest@126.com
更新日期/Last Update: 2025-06-03