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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151255
Doc. No : ET23047
Main Entry : ASHER MAHMOOD ALMAS
Title Proper : COMPUTERIZED DETECTION OF SLEEP APNEA usmG FUZZY LOGIC
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Obstructive sleep apnea (OSA) is characterized by a closure of the upper airway duringsleep. The most common and safest treatment for OSA is through a continuous positiveairway pressure (CPAP) machine. An automatic positive airway pressure (APAP) machine isan intelligent CPAP machine. APAP adjusts the pressure depending on the patient's needduring sleep. The objective for this study was to develop a fiuzy inference algorithm (FIA)for an APAP machine. It would use funy logic to detect an apnea event by analyzing theairflow signal in consecutive 3-second intervals. The parameters measured in the 3-secondintervals were the normalized area and standard deviation of baseline adjusted and rectifiedairflow signal. This normalized area and standard deviation were the inputs to the FIA. TheFIA then went through fuzzification, rule evaluation and defbzzification to obtain theoutputs. Apnea was determined when these outputs were in a specific range. There were 7-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL46279.pdf
Title and statement of responsibility and : COMPUTERIZED DETECTION OF SLEEP APNEA usmG FUZZY LOGIC [Thesis]
 
 
 
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