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Embedded Cardiac Rhythm Interpretative Assistant. Faculty: Dr. Patrick Bobbie Research Assistants: Chaudary Zeeshan Arif Hema Chaudhari Thara Soman. EKG Description. Mapping of Waveforms to different sections in the heart. Hardware and Software Implementation. Hardware
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Embedded Cardiac Rhythm Interpretative Assistant Faculty: Dr. Patrick Bobbie Research Assistants: Chaudary Zeeshan Arif Hema Chaudhari Thara Soman
Hardware and Software Implementation • Hardware • Data Acquisition: • Capture cardiac data in digital format • Transfer data to set-top box • Software • Data Analysis: • Analyze EKG data to diagnose cardiac condition of the patient
EKG Analysis • Noise ion using Filters • Detection of normal QRS complex • Detection of P wave • Derive relationship between P and QRS wave • Determine the heart rate • Determine the abnormality or heart conditions • Map heart condition to knowledge of diseases
Future Considerations • EKG signal acquisition from individually measured electrode potentials • Wireless EKG electrodes and size reduction of the system • Signal compression • Software filters and improved diagnosis • OSGi Bundle-based analysis of captured EKG data. • Ambulatory EKG capture and analysis using fuzzy logic.
Other Projects • eRx prescription – smart card based prescription • Lego robotics programming – lejos API • Home automation using X10 • Digital TV applications