Texas MRC Research Projects

 

Obstructive Sleep Apnea (OSA) is a public health concern. Unfortunately, the primary means of treatment, Positive Airway Pressure (PAP) therapy, is met with high rates of poor adherence in part attributed to side effects. Air flow leak (leak), one of the most frequent side effects that has not been addressed in treatment programs, directly impacts the effectiveness of PAP therapy and continued use. The research team will develop a novel universal device that will measure leak and provide real-time feedback to users in order to increase adherence.

Brandy M. Roane, Ph.D., CBSM, UNTHSC
Brandy.Roane@unthsc.edu//Biography
Assistant Professor – Department of Internal Medicine
Co-PIs:
Eileen Clements, Ph.D. UTARI
Sherif Al-Farra, MD, DABSM, UNTHSC

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This project aims to develop a low-cost home-based wireless automatic sleep apnea detection and sleep quality monitoring system. As internet access becomes part of every home’s de facto facility, the system proposed here will be based on internet. This facilitates reaching out to the public and allows flexibility, scalability, adaptability, ease of access, efficient data storage and statistical profiling. The primary signal we will use for apnea detection and sleep quality assessment is onelead electrocardiogram (EKG) signal. EKG contains not only cardio-related information (e.g., heart rate, heart rate variability (HRV), abnormalities of the heart) but also respiratory-related information useful in detecting sleep apnea. We will also explore how the audio (snoring, teeth grinding) and passive infra-red (PIR) or video (movement, pose) signals recorded during the sleep can complement and enhance the reliability of the results.

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Through the support of the TexasMRC Grant, the research team has made progress towards investigating a new method for Sudden Unexpected Infant Death (SUID) monitoring that uses CO2 sensors placed in a crib around an infant to non-invasively monitor the variation in exhaled air concentration from him/her.  The goal is to detect any abnormal or irregular patterns in the infant’s breathing by monitoring the outputs of the CO2 sensors.  The output data can be used to activate an alarm or logged for diagnosis. (more…)
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