Screening for Sleep Disordered Breathing with Minimally Obtrusive Sensors

使用最小干扰传感器筛查睡眠呼吸障碍

• 批准号: 8648375
• 负责人: Brian Robert Snider
• 金额: $ 23.43万
• 依托单位: BIOSPEECH, INC.
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-15 至 2016-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8648375
• 关键词: Acoustics; Address; Adult; Age; Agreement; Air; Algorithms; Apnea; Arrhythmia; Berlin; Biological Process; Breathing; Caring; Categories; Classification; Clinic; Clinical; Clinics and Hospitals; Data; Data Collection; Devices; Diagnosis; Digital Signal Processing; Environment; Event; Goals; Gold; Guidelines; Health; Health system; Home environment; Hour; Human; Hypertension; Individual; Insulin Resistance; Label; Location; Manuals; Measures; Monitor; Noise; Obstructive Sleep Apnea; Oxygen; Patients; Performance; Peripheral; Physiologic pulse; Polysomnography; Population; Procedures; Process; Publishing; Pulse Rates; Questionnaires; Reporting; Research; Running; Severities; Signal Transduction; Sleep; Sleep Apnea Syndromes; Snoring; Societies; Stroke; Surveys; Symptoms; System; Target Populations; Techniques; Testing; Time; Training; Visual; Wireless Technology; Work; clinically relevant; cost; design; diagnosis standard; indexing; operation; patient population; public health relevance; respiratory; screening; sensor; sound; usability; vehicular accident

Summary Sleep disordered breathing (SDB) is believed to be a widespread, under-diagnosed condition associated with detrimental health problems, at a high cost to society. The current gold standard for diagnosis of SDB is a time- consuming, expensive, and obtrusive (requiring many attached wires) sleep study, or polysomnography (PSG). The immediate objective of the proposed research is to develop and evaluate a hardware design and a set of algorithms for automatically detecting obstructive, central, or mixed apneas and hypopneas from acoustic, peripheral oxygen saturation (SpO2), and pulse rate data, using an ambient microphone and a wireless pulse oximeter. The long-term goal is to create a low-cost, easy-to-operate, minimally obtrusive, at-home device that can be used to screen for SDB in patients' homes. Our specific aims are to: (1) develop a screening system by selecting minimally obtrusive sensor hardware and extending state-of-the art algorithms for automatically detecting SDB from acoustic, SpO2, and pulse rate data; (2) collect patient data in the sleep lab and at home from representative populations using the proposed system; (3) determine the screening accuracy by comparing the performance of the proposed system on the collected data against standard PSG-derived clinical results; and (4) measure the usability of an at-home screening device by the target population, by asking subjects who participated in the at-home data collection to complete a survey on various aspects of the setup and operation of the proposed system.

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