Future Generation Computer Systems ( IF 7.5 ) Pub Date : 2020-06-26 , DOI: 10.1016/j.future.2020.06.039 Jiajia Cui , Zhipei Huang , Dina Jiaerken , Ye Fan , Shuxia Zhao , Lingyan Zhang , Jiankang Wu
Imbalance of autonomic nerve is the cause of lots of cardiovascular and psychological diseases. Many studies have shown that Heart Rate Variability Biofeedback through respiratory training is an effective way to regulate the status of human autonomic nerves. However, due to the immature quantification of Respiratory Sinus Arrhythmia, the respiratory training process cannot be optimal personalized. In this paper, we propose the Cardiopulmonary Resonance Indices based on the Cardiopulmonary Coupling Model to calculate the personalized optimal breathing training frequency. Then the respiratory feedback training system is constructed to provide real-time audio-visual guidance for each subject. The results in the clinical trial of pregnant women in their third trimester showed that, compared to control group, with the intervention of personalized respiratory feedback training at home, pregnant women could stabilize their blood pressure and blood glucose, relieve mental stress, as well as exert positive effects on fetal development. This provides a new possibility of the autonomic imbalance treatment.
中文翻译:
用于心肺评估和个性化呼吸训练的可穿戴系统
自主神经失调是许多心血管和心理疾病的原因。许多研究表明,通过呼吸训练进行心率变异性生物反馈是调节人类自主神经状态的有效方法。但是,由于呼吸性窦性心律不齐的定量不成熟,因此呼吸训练过程无法实现最佳个性化。在本文中,我们提出了一种基于心肺耦合模型的心肺共振指数,以计算个性化的最佳呼吸训练频率。然后构建呼吸反馈训练系统,以为每个受试者提供实时视听指导。孕妇妊娠中期的临床试验结果表明,与对照组相比,通过在家中进行个性化的呼吸反馈训练,孕妇可以稳定血压和血糖,缓解精神压力,并对胎儿的发育产生积极影响。这为自主神经失衡的治疗提供了新的可能性。