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禁食低代谢场景下基于非接触式生理心理感知的多模态情绪调适研究

A study on multimodal emotional adjustment based on non-contact physiological and psychological perception in fasting and low metabolism scenes
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摘要 目的探索禁食低代谢场景下结合非接触式生理心理检测方法的全流程情绪调适模式,验证非接触式生理及心理检测算法精度,评估面向抑郁、焦虑等负性情绪状态的多模态情绪调适方案效果。方法部署非接触式生理心理检测算法与情绪调适方案,搭建多模态情绪调适系统,采集“绿航星旅Ⅷ”15 d完全禁食人体低代谢实验志愿者生理心理相关数据,并结合指夹式血氧仪与量表结果,验证系统内部署的非接触式生理心理检测算法精度,设计情绪调适实验,设置声音、穴位、磁、组合调适四个组别,比较志愿者调适前后量表评分,验证系统情绪调适效果。结果实验数据显示非接触式心率检测模型的Bland-Altman图差值平均数为﹣0.497 bpm,且95.3%的误差值检测数据处于95%一致性区间内;非接触式心理检测模型对于应激状态、焦虑情绪、抑郁情绪识别准确率均超过80%,疲劳状态、愤怒状态识别准确率超过70%;经情绪调适后,志愿者应激水平得到显著改善(P<0.05),积极情绪得到显著性促进(P=0.005),实时消极情绪评分明显改善。结论非接触式生理心理检测方法能有效识别禁食低代谢场景下志愿者生理及情绪状态,声音、穴位、磁、组合方案能够有效缓解志愿者负面情绪状态,为未来深空探测与地外驻留场景中航天员身心健康管理提供了新的技术途径。 Objective Explore the comprehensive emotion adjustment pattern that combines non-contact physiological and psychological detection methods in fasting and low metabolism scenarios.This study aims to verify the accuracy of non-contact physiological and psychological detection algorithms and evaluate the effectiveness of multimodal emotion adjustment schemes for addressing negative emotional states such as depression and anxiety.Methods Deploy non-contact physiological and psychological detection algorithms and emotion adjustment plans to build a multimodal emotion adjustment system.Collect physiological and psychological data from volunteers participating in the 15-days complete fasting human low metabolism experiment of“Green Star TravelⅧ”.Utilize finger clip oximeters and scales to verify the accuracy of existing non-contact physiological and psychological methods within the system.Design an emotion adjustment experiment featuring four groups:sound adjustment,acupoints adjustment,magnetism adjustment,and combination adjustment.Compare the volunteers'scale scores before and after the adjustments to verify the effectiveness of the system's emotion adjustment capabilities.Results The experimental results demonstrate that the average difference in the Bland-Altman plot for the non-contact heart rate detection model is﹣0.497 bpm,with 95.3%of the error values falling within the 95%consistency interval.The non-contact psychological detection model achieved an accuracy rate of over 80%in identifying stress,anxiety,and depression,and an accuracy rate of over 70%in identifying fatigue and anger.Following emotion adjustment,the stress levels of the subjects significantly improved(P<0.05),along with notable enhancements in real-time positive and negative emotion scores.Conclusion The non-contact physiological and psychological detection methods can effectively identify the physiological and emotional states of subjects in fasting and low metabolism scenarios.Acoustic,acupoint,magnetic,and combination schemes have pro
作者 宋程 张文杰 曹子卿 秦海波 江源 王焰磊 徐俊聪 丁帅 吴斌 Song Cheng;Zhang Wenjie;Cao Ziqing;Qin Haibo;Jiang Yuan;Wang Yanlei;Xu Juncong;Ding Shuai;Wu Bin(School of Management,Hefei University of Technology,Hefei 230009,China;Laboratory of Process Optimization and Intelligent Decision-making of Ministry of Education,Hefei 230009,China;China Astronaut Research and Training Center,Beijing 100094,China)
出处 《航天医学与医学工程》 CAS 2024年第4期201-208,240,共9页 Space Medicine & Medical Engineering
基金 国家自然科学基金项目(72293581、62103122) 国家重点研发计划(2023YFF1203705)。
关键词 深空探测 禁食低代谢 非接触式检测 情绪调适 deep space exploration fasting and low metabolism non-contact detection emotion adjustment
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