跳至主要内容
临床试验/NCT01680380
NCT01680380撤回不适用

Tracking Breathing During Sleep With Non-contact Sensors

Oregon Health and Science University1 个研究点 分布在 1 个国家开始时间: 2012年10月最近更新:
适应症

试验速览

阶段
不适用
状态
撤回
试验地点
1
主要终点
Breathing sounds are evident in overnight audio recordings

研究概览

简要总结

The purpose of this study is to evaluate the feasibility of tracking breathing during sleep with non-contact sensors (for example, microphones or wireless movement sensors). The investigators will use the data collected with these sensors to develop algorithms for tracking breathing during sleep. The investigators will assess the performance of the algorithms by comparing automatic output against manually-generated labels.

详细描述

Subjects will be asked to place non-contact sensors (for example, ambient microphones, wireless movement sensors) in their home sleep environment. No sensors will be attached to or otherwise in contact with the subject's body. The subjects will start the data collection before they fall asleep, and stop the data collection the next morning when they wake. The subjects will then return the sensors to the investigator for analysis.

The investigators will study the data and associated manual labeling. The investigators will develop algorithms that use statistical and machine-learning methods to train computer models designed to track breathing automatically. The investigators will compare the automatic output against manually generated labels to determine breath-tracking accuracy.

研究设计

研究类型
Observational
观察模型
Case Only
时间视角
Cross Sectional

入排标准

年龄范围
21 Years 至 89 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Age 21-89
  • No self-reported sleep breathing problems

排除标准

  • Positive diagnosis for sleep breathing problem (e.g., obstructive sleep apnea)

结局指标

主要结局

Breathing sounds are evident in overnight audio recordings

时间窗: Night of recording

This study aims to track breathing during sleep using a high-quality audio interface. Our primary objective is to determine if quiet breathing sounds are visible (in the spectral domain) to trained human labelers.

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Alexander Kain

Assistant Professor

Oregon Health and Science University

研究点 (1)

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