monitoring breathing signals in sleep apnea patients using labview allison campbell bearden high...

Monitoring Breathing Signals in Sleep Apnea Patients Using LabVIEW

Allison CampbellBearden High School

Young Scholars Summer Program23 July 2015

University of Tennessee

Sleep Apnea Defined:

• Disruption of breathing during sleep

• Chronic disorder

• Disruptions may last up to a few seconds to

several minutes depending on severity

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Types of Sleep Apnea:

Obstructive Sleep Apnea

• More common type

• Temporary collapsed airway

Central Sleep Apnea

• Our focus

• Underdeveloped brain of infant

neglects to send signals to the

respiratory system during sleep

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The Problem:

• Sleep Apnea is a common, life-threatening health

issue.

• Infants often succumb from Central Sleep Apnea,

and nurses and hospital staff cannot constantly

monitor each and every child.

One of the leading causes of death infants

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Current Treatment

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Mandibular Advancement Device (MAD)

Tongue Retaining Device

Objective

To create a system that alerts caregivers when

pediatric patients’ breathing signals are shallower

than normal.

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LabVIEW

• Defined: A Visual

Programming System

• Used for Data Acquisition

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Project Overview

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In this project I developed a program on the Block Diagram

(back panel) that will continuously monitor the simulated breathing

signals (from the DAQ card-waveform generator) of sleep apnea

patients. If a signal is not detected for longer than 20 seconds, the

code will trigger an alarm that would awake the sleep apnea

conditioned child in the hospital bed. I created a LabVIEW front panel

from where the caregiver in the hospital can easily monitor the child’s

current breathing signals.

Program on Block Diagram

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What caregivers will see and use:

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Why is the Program Important?

• Sleep Apnea affects 48 million people nationwide.

• It is a chronic disorder that may lead to other

serious health risks, such as stroke.

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The Path Forward

• Pairing this program with the proper sensors to

attach to the patient and connected to the monitor

• Clinical Trials

• Using this method to monitor other types of

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Acknowledgements

This work was supported primarily by the ERC Program of the National Science Foundation and DOE under NSF Award Number EEC-1041877.Other US government and industrial sponsors of CURENT research are also gratefully acknowledged.

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Questions and Answers

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