Electrocardiography Thesis Paper

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Homecare Telemedicine: Analysis and Diagnosis of Tachycardia Condition in an M8051 Microcontroller Patrick O. Bobbie Hema Chaudhari Chaudary -Zeeshan Arif Southern Polytechnic State University School of Computing and Software Engineering 1100 S. Marietta Parkway, Marietta, GA 30060, USA pbobbie@spsu.edu,[zeeshanarif, hemahesh]@hotmail.com Abstract1 With heart diseases, and associated complications, being one of the major causes of death around the world, and in spite of decreased mortality rate, detection of irregularities in the rhythms of the heart is a growing field in medical research. Extended patient monitoring during normal activity has become increasingly important as a standard preventive cardiological procedure for detection of cardiac conditions. The research reported in this paper focuses on the development of a portable platform for real-time analysis of EKG signals, which can be used as an advanced warning device for heart abnormalities. The embedded software component for this device is the focus of this paper. In this, the emphasis is on algorithms and techniques for buffering and analyzing the digitized signals. Of particular interest are methods for detecting sections of the EKG waveform: the P-wave and QRScomplex, for preliminary diagnosis of Tachycardia type of heart disease of home-cared patients. patient using PDA/PC, equipped with a wired or wireless interface, respectively supported by TCP/IP or IEEE 802.11b protocol. The data from the set-top box can be simultaneously transmitted to the doctor’s office for remote monitoring and further diagnosis . Figure 1 depicts the overall structure of the various component devices and patient/doctor communication links of the EKG system. This paper reports several components of the system, which are currently functional and prototyped. The EKG monitoring device has two major components: the

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