We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Download Mobile App




New Algorithm Allows for Better Heart Surgery

By HospiMedica International staff writers
Posted on 21 Jan 2015
Print article
A new computational technique can identify the origin of ectopic atrial activity by using a more complete 64-lead electrocardiogram (ECG) configuration.

Developed by researchers at Manchester University (United Kingdom), the algorithm was derived from a biophysically detailed three dimensional (3-D) computational model of the human atria and torso. The researchers simulated electrical activity during normal sinus rhythm and ectopic pacing to analyze how atrial excitation was reflected in alteration to the P-wave morphology (PWM). The researchers thus created an ECG map that detects the origin of the heart defect, reducing the amount of time some patients need to spend in surgery.

The researchers found that during sinus rhythm, the simulated P-waves of 12 and 64 leads ECG and body-surface potential (BSP) dipole direction show strong agreement with experimental data. Marked changes in PWM were associated with ectopic atrial activity, with some areas of the torso being more sensitive to specific activity than others. The success rate of the algorithm was 93%, correctly identifying the origin of the problems in 75 out of 80 simulations, a much better rate than current technology. The study was published on January 8, 2015, in PLoS Computational Biology.

“The standard way we do electrocardiograms does not provide sufficient information to enable medical professionals to focus in clearly to the area of concern,” said lead author, Professor of Biological Physics Henggui Zhang, PhD. “What we have come up with here is a significant improvement over previous techniques. Using this new algorithm ECG map can help diagnose the location of cardiac disorder in a way which is better for the patients and more cost effective for health services.”

ECG body surface mapping (BSM) is a technique that uses multiple electrocardiography leads to detect electrical activity. The use of multiple leads can result in improved diagnostic accuracy compared to that of the standard 12-lead ECG. Currently there are no BSM ECG devices with 80 or more leads commercially available in the United States.

Related Links:

Manchester University


Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
Medication Cart
Avalo Udi

Print article

Channels

Critical Care

view channel
Image: Researchers have developed a novel risk score for cardiovascular complications after bone marrow transplant (Photo courtesy of 123RF)

Novel Tool Predicts Cardiovascular Risks after Bone Marrow Transplantation

Every year, thousands of people undergo bone marrow transplants to potentially cure serious diseases like leukemia, lymphoma, and immune deficiency disorders. While these transplants can be lifesaving,... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The new eye-safe laser technology can diagnose traumatic brain injury (Photo courtesy of 123RF)

Novel Diagnostic Hand-Held Device Detects Known Biomarkers for Traumatic Brain Injury

The growing need for prompt and efficient diagnosis of traumatic brain injury (TBI), a major cause of mortality globally, has spurred the development of innovative diagnostic technologies.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.