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UT researchers develop algorithm to improve remote electrocardiography
Date:8/23/2011

rate to decrease misdiagnoses and ultimately save lives. The algorithm is also helpful in intensive care units where medical staff may be overworked, as well as for novice health professionals.

"There is a large population that does not receive good health care because they live in rural communities," said Zhao. "This algorithm helps to bring the doctor to their home through the help of mobile phone technology. We hope our invention brings their health care quality more in line with that of the developed world by reducing errors and improving the quality of ECGs."

The algorithm recently won the top spots in Physionet Challenge 2011first, first and third places. Sponsored by the National Institutes for Health, Physionet and the annual Computing in Cardiology conference jointly host a series of challenge problems that are either unsolved or not well-solved. Starting in 2000, a new challenge topic is announced each year, aiming to stimulate work on important clinical problems and to foster rapid progress towards their solution.


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Contact: Whitney Holmes
wholmes7@utk.edu
865-974-5460
University of Tennessee at Knoxville
Source:Eurekalert

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