基于心脏HRV心率变异的“情绪与疾病”语义感知模型的研究

2017年，《美国心脏病学会杂志》的重要研究表明，抑郁症症状越多的患者发生冠心病死亡的风险越高，抑郁症成为心血管疾病的最强死亡预测因子。心脏病“猝死”以及心肌梗死的发病诱因中，与情绪反应有着非常密切的相关性。利用便携式的心电信号的采集设备，实时收集和分析心脏HRV与情绪变化的潜在关联关系，深入挖掘心血管疾病在情绪刺激下的致病机理；通过构建情绪与疾病的语义感知模型，对组合型情绪波动规律与心脏病导致的HRV心率异常状况，进行准确判断和预测，实现心脏病在病发前的提前预警，以降低心血管疾病的发病率和致死率。便携式HRV采集设备的使用（如智能手表），不仅可以实现实时监测心脏和情绪变化，还可以监测药物控制或音乐疗愈等情绪控制策略下的心脏反应状况，实现心脏健康的日常保健和心脏病的预防。通过大数据循证医学验证手段进行论证，该项目成果可以为实现真正的智慧家庭远程医疗推广，起到真实有效的推动作用。

In 2017, an important study in the Journal of the American College of Cardiology showed that patients with more symptoms of depression have a higher risk of death from coronary heart disease, and depression has become the strongest predictor of death from cardiovascular disease. The "sudden death" of heart disease and the triggers of myocardial infarction are closely related to emotional reactions. Use portable ECG signal acquisition equipment to collect and analyze the potential relationship between heart HRV and emotional changes in real time, and deeply explore the pathogenic mechanism of cardiovascular disease under emotional stimulation. Furthermore, by constructing a semantic perception model of emotions and diseases, it can accurately judge and predict HRV heart rate abnormalities caused by the combined pattern of mood fluctuations and heart disease, so as to realize early warning of heart disease before the onset of disease, so as to reduce cardiovascular diseases morbidity and fatality rate. The use of portable HRV acquisition equipment (such as smart watches) can not only realize real-time monitoring of heart and mood changes, but also monitor the heart response status under emotional control strategies such as drug control or music healing, and achieve heart-healthy daily health care and heart disease Prevention. By means of big data evidence-based medical verification, it will real promote the home telemedicine development in the future.