Self-Dispensing Respiratory Effort Band

描述(由申请人提供)：Korosensor.com，Inc.(KI)建议开发一种一次性自我分配呼吸努力带，以可靠地检测轻微呼吸暂停并改善睡眠障碍呼吸事件的登记。睡眠障碍呼吸的影响，包括阻塞性呼吸暂停综合征(OAS)和Cheyene-Stokes呼吸会导致白天过度嗜睡、高血压、心力衰竭和中风。与呼吸暂停相关的零碎睡眠和心血管异常的发生率继续增加，影响到多达1800万美国人和4%的中年成年人口。现有的工作频带技术存在许多问题，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；频带滑动导致较差的呼吸事件登记；以及受限的患者适合度导致患者不适。 拟议的第二阶段项目将专注于开发医用级智能纺织品(MST)努力带，它可以像胶带卷一样自我分配，提供一种低成本的一次性产品，消除了通过环或扣设置的定制带尺寸和努力带张力设置，并改进了对睡眠患者轻微呼吸暂停的检测。一种智能纺织品被制作成一种含有导电纤维的努力带，用于感知胸腹呼吸运动。这种低成本的自行分配呼吸频率的方法可以通过“全周长”呼吸事件特征显著提高对睡眠障碍呼吸的检测。

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.