Innovative new software that measures electrical activity in organs can identify potentially lethal heart conditions easily and may also lead to improvements in the prevention and treatment of heart diseases. The electrical activity of the heart controls the pumping action of the organ, which triggers the heart muscle cells to contract and relax. The organ's electrical activity is affected in certain heart diseases such as arrhythmia.
Cardiac researchers can already record and analyze the heart's electrical behavior using optical and electrode mapping, but widespread use of these technologies is limited by a lack of appropriate software.
Computer and cardiovascular experts at the University of Birmingham have worked with counterparts in the UK, Netherlands and Australia to develop ElectroMap - a new open-source software for processing, analysis and mapping complex cardiac data.
Dr Kashif Rajpoot, Senior Lecturer and Program Director for Computer Science at the University of Birmingham Dubai, commented: "We believe that ElectroMap will accelerate innovative cardiac research and lead to wider use of mapping technologies that help to prevent the incidence of arrhythmia.
"This is a robustly validated open-source flexible tool for processing and by using novel data analysis strategies we have developed, this software will provide a deeper understanding of heart diseases, particularly the mechanisms underpinning potentially lethal arrhythmia."
The incidence and prevalence of cardiac disease continues to increase every year, but improvements in prevention and treatment require better understanding of electrical behavior across the heart.
Data on this behavior can be gathered using electrocardiogram tests, but more recently, optical mapping has allowed wider measurement of cardiovascular activity in greater detail. Insights from optical mapping experiments have given researchers a better understanding of complex arrhythmias and electrical behavior in heart disease.
"Increased availability of optical mapping hardware in the laboratory has led to expansion of this technology, but further uptake and wider application is hindered by limitations with respect to data processing and analysis," said Dr Davor Pavlovic - lead contributor from the University of Birmingham's Institute of Cardiovascular Sciences. "The new software can detect, map and analyse arrhythmic phenomena for in silico, in cellulo, animal model and in vivo patient data."