IIT Madras研究发现脑心信号 预示学生测试焦虑 能够进行早期干预 IIT Madras study finds brain-heart signals predict student test anxiety, enabling early intervention.

IIT Madras的研究人员发现,前方阿尔法对称和心率变化可以预测学生的焦虑状况,在压力下暴露出中断的脑心交流。 Researchers at IIT Madras have found that Frontal Alpha Asymmetry and Heart Rate Variability can predict test anxiety in students, revealing disrupted brain-heart communication under stress. 该研究以52名参与者为基础,显示FAA模式消极的学生在考试期间心脏调节较弱,表明焦虑和避免的生理依据。 The study, based on 52 participants, shows students with negative FAA patterns have weaker heart regulation during exams, indicating a biological basis for anxiety and avoidance. 这些标记可以通过AI驱动的实时监测,使学校和大学能够提供积极主动的支持,从而能够及早发现。 These markers could enable early detection through AI-powered, real-time monitoring, allowing proactive support in schools and universities. 该小组计划扩大对较大、不同群体的研究范围,包括睡眠和活动水平等因素,以提高准确性。 The team plans to expand the research with larger, diverse groups and include factors like sleep and activity levels to improve accuracy. 调查结果旨在将精神压力调控从反应性向预防性转变,提高学生的福祉和学术成绩。 The findings aim to shift stress management from reactive to preventive, enhancing student well-being and academic performance.