Difference between revisions of "Projects:2015s1-58 Design And Development Of A New Respiratory Monitor For Detection Of Sleep Apnoea"

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(Data Acquisition)
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A free EDF viewer (see Figure 3) from National Sleep Research Source is employed in this stage to combine the EDF files and XML files. The viewer enables the user to combine an EDF file with a corresponding sleep annotation file. The user has a myriad of ways to view the signals including scrolling, clicking on a specific annotation and determining the display channels of signal.
 
A free EDF viewer (see Figure 3) from National Sleep Research Source is employed in this stage to combine the EDF files and XML files. The viewer enables the user to combine an EDF file with a corresponding sleep annotation file. The user has a myriad of ways to view the signals including scrolling, clicking on a specific annotation and determining the display channels of signal.
  
[[File:EDF viewer.jpg]]
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[[File:EDF viewer.jpg|600px]]
  
 
== Detection based on Wavelet ==
 
== Detection based on Wavelet ==

Revision as of 09:57, 22 October 2015

Introduction

The ultimate aim of this project is to develop a respiratory monitor prototype for detection of sleep apnea. It is hoped that the prototype will eventually achieve the real-time monitoring of the patient’s sleep state and record the information of sleep apnea events. In this academic year, the work on detection algorithm has been accomplished and a design plan to construct a physical monitor has been established for the future groups.


Supervisors

Dr. Said Al-Sarawi

Prof. Jagan Mazumdar

Dr. Cleto Mernone


Students

Jian Shi

Sandeep Singh

Background Information

Sleep apnea is a kind of sleep disorder that is characterized with suspension in breathing during sleep [1]. Each interruption, called as an apnea interval, can last from ten seconds to several minutes [1].

Apneic events can be classified according to the nature of the underlying physiological cause. Central Sleep Apnea (CSA) is usually caused by the absence of correct signals from brain areas in charge of breathing to the relevant muscles and a normal breathing action cannot be implemented. Obstructive Sleep Apnea (OSA) is much likely to happen when the patient’s pharyngeal narrows or the upper airway collapses during sleep. The complex or mixed type of sleep apnea is a mix of CSA and OSA.

The latest research result (see Figure 1) illustrates that central sleep apnea is the most common type with a percentage 80% and the mixed sleep apnea has a less proportion of 18% [3]. In contrast, only 2% of the studied cases is classified as central sleep apnea.


Motivation

Regardless of type, an individual with sleep apnea suffers from difficulty of breathing during sleep, which leads to detrimental effects on sleep-quality and health. Some typical consequences of sleep apnea to the patient are as follows [7].

• High blood pressure

• Stroke

• Heart failure, heart attack or irregular heart beats

• Depression and lack of concentration in daytime

It is quite difficult to exactly specify how many Australians suffer from sleep apnea. It is generally thought that approximately 9% of women and 25% of men in Australia have clinically significant sleep apnea and 4% of men and women have symptomatic sleep apnea [5].

Due to the serious effects of sleep apnea and the enormous quantity of patients, the medical and health professions have been seeking for reliable sleep apnea detection and therapy approach in recent decades.

Fundamentally, the development of a sleep apnea monitor is extremely helpful to fill some gaps in the research of sleep apnea and make a contribution to the medical applications.


Data Acquisition

The data for use in detection tests are provided by A/Prof Baumert under the assistance of the project supervisor, Dr. Said Al-Sarawi. The project could not be a success without their helpful participation.

Those data files are stored in EDF and XML formats.

• EDF file – contains an multi-channel overnight recording of sleep signals and labels of each acquisition channel with some available information , such as sampling frequency. • XML file – contains the corresponding annotations of all the sleep events happening in the recording period and those annotations are used as reference while verifying if the detection statement is correct or not. The initial step to do analysis work is to observe the features of those provided signals.

A free EDF viewer (see Figure 3) from National Sleep Research Source is employed in this stage to combine the EDF files and XML files. The viewer enables the user to combine an EDF file with a corresponding sleep annotation file. The user has a myriad of ways to view the signals including scrolling, clicking on a specific annotation and determining the display channels of signal.

EDF viewer.jpg

Detection based on Wavelet

Result Analysis

Design Plan

Conclusion

References