AN INTEGRATED SIGNAL PROCESSING ENVIRONMENT FOR DETECTION OFSLEEP DISORDERED BREATHING IN CHILDREN USING SPECTRAL AND NONLINEAR DYNAMIC MEASURES OF HEART RATE VARIABILITY SIGNAL

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" AN INTEGRATED SIGNAL PROCESSING ENVIRONMENT FOR DETECTION OFSLEEP DISORDERED BREATHING IN CHILDREN USING SPECTRAL AND NONLINEAR DYNAMIC MEASURES OF HEART RATE VARIABILITY SIGNAL "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	148672
Doc. No	:	ET20464
Main Entry	:	SURYA MALA CHATLAPALLI
Title Proper	:	AN INTEGRATED SIGNAL PROCESSING ENVIRONMENT FOR DETECTION OFSLEEP DISORDERED BREATHING IN CHILDREN USING SPECTRAL AND NONLINEAR DYNAMIC MEASURES OF HEART RATE VARIABILITY SIGNAL
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	This thesis emphasizes an application of novel signal processing techniques to detectSleep Disordered Breathing (SDB) in children using their Heart Rate Variability (HRV). TheHRV has been derived using an Enhanced Hilbert Transform (EHT) algorithm with amissing peak correction capability. Various signal processing techniques have beenimplemented on the HRV signal to obtain sensitive measures used in detection of SDB. Allthese techniques have been integrated into a user friendly interface.The algorithms were implemented in MATLAB 6.5 and the Graphical User Interface(GUI) in LabVIEW 7.1. The GUI provides a complete patient report with the summary of allthe analyses performed. All the algorithms were developed, validated, and implemented ondata from Physionetبs ECG databases.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL43599.pdf
Title and statement of responsibility and	:	AN INTEGRATED SIGNAL PROCESSING ENVIRONMENT FOR DETECTION OFSLEEP DISORDERED BREATHING IN CHILDREN USING SPECTRAL AND NONLINEAR DYNAMIC MEASURES OF HEART RATE VARIABILITY SIGNAL [Thesis]