Tracking Breathing During Sleep With Non-contact Sensors

Withdrawn

• Conditions: Sleep Apnea Syndromes; Snoring

• Registration Number: NCT01680380
• Lead Sponsor: Oregon Health and Science University

Brief Summary

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.

Detailed Description

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.

Study Timeline

• Study First Submitted: 2012-09-04
• Study First Submitted QC: 2012-09-06
• Study First Posted: 2012-09-07
• Study Start: 2012-10
• Status Verified: 2016-07
• Last Update Submitted: 2016-07-05
• Last Update Posted: 2016-07-07
• Primary Completion: 2016-08
• Study Completion: 2016-08

Recruitment & Eligibility

• Status: WITHDRAWN
• Sex: All
• Target Recruitment: Not specified

Inclusion Criteria

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

Exclusion Criteria

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

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Breathing sounds are evident in overnight audio recordings	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.

Trial Locations

Locations (1)

Center for Spoken Language Understanding; 🇺🇸 Portland, Oregon, United States