Feasibility study for extraction of breathing effort from pulse pleythsmograph signal

使用光传感器获得的光容积脉搏图（PPG）波形是心脏跳动的脉动特征。从PPG信号中可以提取出脉搏率、血氧饱和度等丰富的生理信息，近年来，研究人员将重点放在从该波形中提取呼吸信号上。尽管人们对从PPG信号中提取呼吸信号有兴趣并进行了研究，但通常只估计一个呼吸参数，即呼吸速率。这是一个局限性，因为其他参数，如呼吸变异性和呼吸努力，有望提供有关受试者生理学的更深入的信息。此外，这一领域的研究还没有转化为有形的系统，可以在现实世界的临床应用中找到用途，比如家庭睡眠

The photoplethysmogram (PPG) waveform obtained using a photo sensor is a pulsatile characterization of the beating of the heart. A rich variety of physiological information such as pulse rate, and oxygen saturation can be extracted from the PPG signal, and recently, researchers have focused on extracting respiratory signals from this waveform. Despite interest in and research on the extraction of respiratory signals from PPG signals, it seems that only one respiratory parameter, namely, the respiratory rate, is commonly estimated. This is a limitation, since other parameters such as respiratory variability and respiratory effort promise to provide more in-depth information about the physiology of the subject. Moreover, research in this area has not been transformed into tangible systems that can find use in real-word clinical applications like home sleep