Tracking Breathing During Sleep With Non-contact Sensors

Status

Withdrawn

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT01680380

Enrollment

Registered

2012-09-07

Start date

2012-10-31

Completion date

2016-08-31

Last updated

2016-07-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Sleep Apnea Syndromes, Snoring

Keywords

sleep apnea, snoring

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.

Interventions

None listed

Study design

Observational model

CASE_ONLY

Time perspective

CROSS_SECTIONAL

Eligibility

Sex/Gender

ALL

Age

21 Years to 89 Years

Healthy volunteers

Yes

Inclusion criteria

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

Exclusion criteria

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

Design outcomes

Primary

Measure	Time frame	Description
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.

Countries

United States

Outcome results