Self-Dispensing Respiratory Effort Band

描述（由申请人提供）：Korosensor.com，Inc. (KI)提出开发一次性自分配呼吸努力带以可靠地检测轻微呼吸暂停并改善睡眠呼吸障碍事件的记录。睡眠呼吸障碍，包括阻塞性呼吸暂停综合征（OAS）和Cheyene-Stokes呼吸的影响，导致白天过度嗜睡，高血压，心力衰竭和中风。与呼吸暂停相关的睡眠碎片和心血管异常的发生率持续增加，影响了多达1800万美国人和4%的中年成年人。现有的努力带技术具有许多问题，包括对睡眠患者移动（即，重新定位）的敏感性，导致数据不一致;带滑动，导致不良的呼吸事件配准;以及限制性的患者配合，导致患者不适。 拟议的第二阶段项目将专注于开发医疗级智能纺织品（MST）工作带，该工作带可以像一卷胶带一样自行分配，提供一种低成本的一次性产品，通过环或带扣设置消除自定义带尺寸和工作带张力设置，并改善睡眠患者轻微呼吸暂停的检测。提出了一种智能纺织品，它被制成一个包含导电纤维的努力带，用于感知胸腹呼吸运动。这种低成本的自我分配的方法感测呼吸率可以显着提高检测睡眠呼吸障碍通过“全周长”呼吸事件表征。

DESCRIPTION (provided by applicant): Korosensor.com, Inc. (KI) proposes to develop a disposable self-dispensing respiratory effort band to reliably detect subtle apnea and improve registration of sleep disordered respiratory events. The effects of sleep disordered breathing, including obstructive apnea syndrome (OAS) and Cheyene-Stokes breathing lead to excessive daytime sleepiness, high blood pressure, heart failure and stroke. The incidence of apnea-related fragmented sleep and cardiovascular abnormalities continues to increase, affecting up to 18 million Americans and 4% of the middle-aged adult population. Existing effort band technology has a number of problems including sensitivity to sleep patient movement (i.e. repositioning) causing data inconsistency; band slippage causing poor respiratory event registration; and restrictive patient fit resulting in patient discomfort. The proposed Phase II project will focus on the development of a Medical-grade Smart Textile (MST) effort band that can be self-dispensed like a roll of tape, offering a low-cost disposable product that eliminates custom band sizes and effort band tension setting via loop or buckle setting, and improves detection of subtle apnea for sleep patients. A smart textile fashioned into an effort band incorporating conductive fibers is proposed to sense thoraco-abdominal respiratory movement. This low-cost self-dispensing method of sensing respiratory rate could significantly improve detection of sleep-disordered breathing through "full-circumference" respiratory event characterization.