This project aims to develop an algorithm for defibrillators to recognize arrhythmias from upper and lower chambers of the heart to customize device interventions.
NMNishaki MehtaSchool of Medicine
NSNikolaos D. SidiropoulosSchool of Engineering and Applied Science
JMJames Michael MangrumSchool of Medicine
Patients with weak hearts (cardiomyopathies) are implanted with pacemaker defibrillator systems to terminate fast heart rates from the lower chambers (ventricles) which can be fatal. However these patients can also have fast heart rates originating from the upper chambers (atria) and the discrimination ability of the pacemaker defibrillator is limited in the setting of 1:1 communication of the arrhythmias in the upper and lower chambers. Appropriate recognition is important to avoid delivery of high voltage shock therapies which can result in significant patient distress, trauma and lead to battery depletion of the cardiac pacemaker defibrillator system. The latter can result in need for frequent operations leading to additional health care costs. Additionally current devices lack the ability to understand response to pacing therapy and subsequent analysis. Critical evaluation of pacing response can be utilized to further improve discrimination of arrhythmias. I have conceptualized an algorithm which is based on fundamental electrophysiology principles utilized in the cardiac OR and can address these issues.
Develop the algorithm and check validity in a large data base of pacemaker defibrillator records (estimate over 100000 archived episodes)
Two students with BME and computer engineering background to develop and test the algorithm..