ABSTRACT
Prevalence of chronic disorder and increased aging population leads to continuous monitoring of vital signs for proper diagnosis. This chapter deals with the design of a web-based monitoring system for continuous ECG signal monitoring in real time and feature extraction for estimating the heart rate. Different signal processing techniques are implemented for filtering the signal and extracting the appropriate features to estimate the physiological parameters. The filtering techniques and multiresolution wavelet analysis methods are applied on the real-time signal for quality assessment and vital parameter measurement. Different experiments are carried out for measuring the vital signs from the extracted features. The research proposes a web-based monitoring of real-time ECG signal for continuous monitoring. The design and development of the proposed system is implemented in the graphical programming environment. The collected information is displayed to the physician and the user via a web-based communication for an efficient remote monitoring.
