Development of algorithms for reliable estimation of breathing effort from pulse pleythsmograph signal

开发根据脉搏体积描记器信号可靠估计呼吸努力的算法

• 批准号: 484596-2015
• 负责人: Dajani, Hilmi
• 金额: $ 0.91万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Engage Plus Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=584416
• 关键词: Development; algorithms; reliable; estimation; breathing

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 (SpO2) can be extracted from the PPG signal, and recently, researchers have focused on extracting respiratory signals from this signal. 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 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 monitoring. Our industrial collaborator, Braebon Medical Corporation, an Ottawa-based company specializing in the production and sale of sleep monitoring devices, is looking to develop and test innovative algorithms that can extract various respiratory parameters from PPG signals. Our research group at the University of Ottawa has extensive experience in developing algorithms in this area. In the first phase of the project, we developed a novel algorithm for estimating respiratory rate from PPG signals. When tested on a benchmark database, our algorithm performed better than another state-of-the-art algorithm. In the second phase of the project, which is supported by Braebon, we will focus on developing an algorithm to reliably estimate respiratory effort from PPG signals. This technology will provide Braebon a competitive edge over other sleep monitoring products, and is expected to open up significant market opportunities for Braebon in the field of reliable sleep monitoring.

使用光电传感器获得的光电体积描记图（PPG）波形是心脏跳动的脉动表征。可以从PPG信号中提取诸如脉搏率和氧饱和度（SpO2）的丰富的各种生理信息，并且最近，研究人员已经专注于从该信号中提取呼吸信号。尽管对从PPG信号中提取呼吸信号感兴趣并进行研究，但似乎通常仅估计一个呼吸参数，即呼吸速率。这是一种限制，因为诸如呼吸努力的其他参数承诺提供关于对象的生理的更深入的信息。此外，这一领域的研究还没有转化为可以在家庭睡眠监测等实际临床应用中使用的有形系统。 我们的工业合作伙伴Braebon Medical Corporation是一家位于渥太华的公司，专门生产和销售睡眠监测设备，正在寻求开发和测试创新算法，可以从PPG信号中提取各种呼吸参数。我们在渥太华大学的研究小组在开发这一领域的算法方面有着丰富的经验。在该项目的第一阶段，我们开发了一种新的算法，用于从PPG信号估计呼吸率。当在基准数据库上进行测试时，我们的算法比另一种最先进的算法表现得更好。在由Braebon支持的项目的第二阶段，我们将专注于开发一种算法，以可靠地估计PPG信号的呼吸努力。这项技术将为Braebon提供优于其他睡眠监测产品的竞争优势，并有望为Braebon在可靠睡眠领域开辟重大市场机会 监测.