Miniaturized Forced Oscillation Technique Wearable Device

小型化受迫振荡技术可穿戴设备

• 批准号: 537988-2018
• 负责人: ElSankary, Kamal
• 金额: $ 7.38万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=698841
• 关键词: Miniaturized; Forced; Oscillation; Technique; Wearable

In North America approximately 20 million people are diagnosed by sleep apnea, however, due to discomfort, only 8 million use their prescribed sleep-assistance device such as their continuous positive airway pressure device (CPAP). NovaResp Technologies Incorporated ("NovaResp") is developing devices and techniques that will reduce the short- and long-term damages caused by obstructive sleep apnea (OSA) and will directly address the current market need of making sleep-assistance device more comfortable. While using advanced forced oscillation technique (FOT) would lead to faster detection and reactive treatment of OSA, as well as better management of patients' respiratory health, current CPAP machines are incapable of incorporating such methods without disturbing the patient. NovaResp is working on a revolutionary technique to predict respiratory failure such as obstruction in OSA through machine learning techniques. Using FOT data, these machine learning methods will lead to the preemptive avoidance of obstruction by adjusting CPAP's settings before a failure occurs. However, incorporation of modern FOT methods on such ventilators/CPAP devices would require miniaturization of traditional FOT. The main objective of this research proposal is to design a new miniaturized, energy efficient, cost-effective, FOT wearable device using modern integrated circuits and signal processing. This device will be able to be used as an add-on to mechanical ventilators such as CPAP machines to detect and predict sleep apnea episodes. This device will also provide real-time respiratory impedance measurement and recording outside the clinic. This will help in the creation of a big-data database that will allow medical doctors and researchers to better understand the pulmonary dynamics as well as to enable early detection of chronic obstructive pulmonary disease (COPD).

然而，在北美，由于不适感，大约有2000万人被睡眠呼吸暂停诊断出来，只有800万人使用其处方的睡眠辅助设备，例如其连续的阳性气道压力设备（CPAP）。 Novaresp Technologies Incorporated（“ Novaresp”）正在开发设备和技术，这些设备和技术将减少由阻塞性睡眠呼吸暂停（OSA）造成的短期和长期损害，并将直接满足当前市场的需求，即使睡眠辅助设备更加舒适。 虽然使用高级强制振荡技术（FOT）将导致更快的检测和反应性治疗OSA，并更好地管理患者的呼吸系统健康，但当前的CPAP机器无法在不打扰患者的情况下纳入此类方法。 Novaresp正在研究一种革命性的技术，以预测呼吸衰竭，例如通过机器学习技术在OSA中的阻塞。 使用FOT数据，这些机器学习方法将在发生故障之前调整CPAP的设置，从而导致避免阻塞的避免。 但是，在此类呼吸机/CPAP设备上纳入现代FOT方法将需要对传统FOT进行微型化。该研究建议的主要目的是设计一种新的微型，节能，具有成本效益的可穿戴设备，使用现代集成电路和信号处理。该设备将能够用作机械通风器（例如CPAP机）的附加组件，以检测和预测睡眠呼吸暂停发作。该设备还将在诊所外提供实时呼吸阻抗测量和记录。这将有助于创建一个大数据库数据库，该数据库将使医生和研究人员能够更好地了解肺动力学，并能够尽早发现慢性阻塞性肺疾病（COPD）。