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Tracking Breathing During Sleep With Non-contact Sensors

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT01680380
Recruitment Status : Withdrawn (Superseded by larger funded study)
First Posted : September 7, 2012
Last Update Posted : July 7, 2016
Information provided by (Responsible Party):
Alexander Kain, 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.

Condition or disease
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.

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Study Type : Observational
Actual Enrollment : 0 participants
Observational Model: Case-Only
Time Perspective: Cross-Sectional
Official Title: Tracking Breathing During Sleep With Non-contact Sensors
Study Start Date : October 2012
Estimated Primary Completion Date : August 2016
Estimated Study Completion Date : August 2016

Resource links provided by the National Library of Medicine

MedlinePlus related topics: Snoring

Overnight sleep at home

Primary Outcome Measures :
  1. Breathing sounds are evident in overnight audio recordings [ Time Frame: 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.

Information from the National Library of Medicine

Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.

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Ages Eligible for Study:   21 Years to 89 Years   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
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.

Inclusion Criteria:

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

Exclusion Criteria:

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

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its identifier (NCT number): NCT01680380

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United States, Oregon
Center for Spoken Language Understanding
Portland, Oregon, United States, 97239
Sponsors and Collaborators
Oregon Health and Science University
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Principal Investigator: Alexander Kain, Ph.D. Oregon Health and Science University
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Responsible Party: Alexander Kain, Assistant Professor, Oregon Health and Science University Identifier: NCT01680380    
Other Study ID Numbers: IRB00008533
First Posted: September 7, 2012    Key Record Dates
Last Update Posted: July 7, 2016
Last Verified: July 2016
Keywords provided by Alexander Kain, Oregon Health and Science University:
sleep apnea
Additional relevant MeSH terms:
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Sleep Apnea Syndromes
Respiration Disorders
Respiratory Tract Diseases
Sleep Disorders, Intrinsic
Sleep Wake Disorders
Nervous System Diseases
Respiratory Sounds
Signs and Symptoms, Respiratory
Signs and Symptoms