New Algorithm Improves Remote Electrocardiography

An algorithm improves the effectiveness of electrocardiograms (ECGs) by examining interferences due to electrode misplacement and disturbances, including patient motion and electromagnetic noise.

Researchers at the University of Tennessee, Knoxville (UTK; USA) developed the algorithm, which is based on a matrix that simultaneously tests for irregular patterns caused by such interferences. Instead of a typical "yes-no" type of classification result, the algorithm uses a more accurate A-F letter grade of the ECG, indicating specific weaknesses in the test. The algorithm also makes recommendations as to where to place the electrodes accurately. The algorithm is implemented in a java program, which can be installed and operated on a smart phone, and takes only a split second to execute and assess a 10-second ECG.

Application of the algorithm is intended for users in remote areas where expert cardiologists are in short supply, in intensive care units (ICUs) where medical staff may be overworked, as well as for novice healthcare professionals who need a second opinion. The algorithm has won all three top spots in the Physionet Challenge 2011.

“There is a large population that does not receive good health care because they live in rural communities,” said lead author Xiaopeng Zhao, PhD, an assistant professor in the UTK department of mechanical, aerospace, and biomedical engineering. “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 ECG is the most commonly performed screening tool for a variety of cardiac abnormalities; however, it is estimated that about 4% of all ECGs are taken with misplaced electrodes, leading to faulty diagnoses and mistreatments.

Related Links:
University of Tennessee
Physionet Challenge 2011