Wang Jiachen, Liang Hong, Wang Yajing, Wang Weitao, Lan Ke, Cao Lu, Zhang Zhengbo, Li Yuzhu, Liu Zhiwen, Cao Desen
Medical School of Chinese PLA, Beijing 100853, P.R.China.
Department of Biomedical Engineering, Chinese PLA General Hospital, Beijing 100853, P.R.China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2021 Oct 25;38(5):893-902. doi: 10.7507/1001-5515.202004047.
Breathing pattern parameters refer to the characteristic pattern parameters of respiratory movements, including the breathing amplitude and cycle, chest and abdomen contribution, coordination, etc. It is of great importance to analyze the breathing pattern parameters quantificationally when exploring the pathophysiological variations of breathing and providing instructions on pulmonary rehabilitation training. Our study provided detailed method to quantify breathing pattern parameters including respiratory rate, inspiratory time, expiratory time, inspiratory time proportion, tidal volume, chest respiratory contribution ratio, thoracoabdominal phase difference and peak inspiratory flow. We also brought in "respiratory signal quality index" to deal with the quality evaluation and quantification analysis of long-term thoracic-abdominal respiratory movement signal recorded, and proposed the way of analyzing the variance of breathing pattern parameters. On this basis, we collected chest and abdomen respiratory movement signals in 23 chronic obstructive pulmonary disease (COPD) patients and 22 normal pulmonary function subjects under spontaneous state in a 15 minute-interval using portable cardio-pulmonary monitoring system. We then quantified subjects' breathing pattern parameters and variability. The results showed great difference between the COPD patients and the controls in terms of respiratory rate, inspiratory time, expiratory time, thoracoabdominal phase difference and peak inspiratory flow. COPD patients also showed greater variance of breathing pattern parameters than the controls, and unsynchronized thoracic-abdominal movements were even observed among several patients. Therefore, the quantification and analyzing method of breathing pattern parameters based on the portable cardiopulmonary parameters monitoring system might assist the diagnosis and assessment of respiratory system diseases and hopefully provide new parameters and indexes for monitoring the physical status of patients with cardiopulmonary disease.
呼吸模式参数是指呼吸运动的特征模式参数,包括呼吸幅度和周期、胸腹部的作用、协调性等。在探究呼吸的病理生理变化以及为肺康复训练提供指导时,对呼吸模式参数进行定量分析具有重要意义。我们的研究提供了详细的方法来量化呼吸模式参数,包括呼吸频率、吸气时间、呼气时间、吸气时间比例、潮气量、胸部呼吸贡献率、胸腹相位差和吸气峰值流速。我们还引入了“呼吸信号质量指数”来处理所记录的长期胸腹呼吸运动信号的质量评估和定量分析,并提出了分析呼吸模式参数方差的方法。在此基础上,我们使用便携式心肺监测系统,以15分钟的间隔收集了23例慢性阻塞性肺疾病(COPD)患者和22例肺功能正常受试者在自然状态下的胸腹部呼吸运动信号。然后我们对受试者的呼吸模式参数和变异性进行了量化。结果显示,COPD患者与对照组在呼吸频率、吸气时间、呼气时间、胸腹相位差和吸气峰值流速方面存在很大差异。COPD患者的呼吸模式参数方差也比对照组更大,甚至在部分患者中观察到胸腹运动不同步。因此,基于便携式心肺参数监测系统的呼吸模式参数量化与分析方法可能有助于呼吸系统疾病的诊断和评估,并有望为监测心肺疾病患者的身体状况提供新的参数和指标。