Tracking Breathing During Sleep With Non-contact Sensors

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.

Study Overview

• Status: Withdrawn
• Conditions: Sleep Apnea Syndromes; Snoring

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 Type: Observational

Contacts and Locations

Study Locations

• United States
  • Oregon
    • Portland, Oregon, United States, 97239
      • Center for Spoken Language Understanding

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 21 years to 89 years (Adult, Older Adult)
• Accepts Healthy Volunteers: Yes
• Genders Eligible for Study: All

• Sampling Method: Non-Probability Sample

Study Population

Participants will be recruited from the PI's department (OHSU faculty, Ph.D. students) by email and the investigators' personal acquaintances. Participants must be age 21-100 and have no self-reported sleep breathing problems.

Description

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 Plan

How is the study designed?

Number of groups / cohorts

1

Cohorts and Interventions

Group / Cohort
At-Home; Overnight sleep at home

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Breathing sounds are evident in overnight audio recordings	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.	Night of recording

Collaborators and Investigators

• Sponsor: Oregon Health and Science University
• Investigators: Principal Investigator: Alexander Kain, Ph.D., Oregon Health and Science University

Study record dates

Study Major Dates

• Study Start: October 1, 2012
• Primary Completion (Anticipated): August 1, 2016
• Study Completion (Anticipated): August 1, 2016

Study Registration Dates

• First Submitted: September 4, 2012
• First Submitted That Met QC Criteria: September 6, 2012
• First Posted (Estimate): September 7, 2012

Study Record Updates

• Last Update Posted (Estimate): July 7, 2016
• Last Update Submitted That Met QC Criteria: July 5, 2016
• Last Verified: July 1, 2016

More Information

Terms related to this study

• Keywords: snoring; sleep apnea
• Additional Relevant MeSH Terms: Nervous System Diseases; Respiratory Tract Diseases; Apnea; Respiration Disorders; Sleep Disorders, Intrinsic; Dyssomnias; Sleep Wake Disorders; Signs and Symptoms, Respiratory; Respiratory Sounds; Sleep Apnea Syndromes; Snoring
• Other Study ID Numbers: IRB00008533