Computer Vision in Healthcare: ECG digitalization use case
This technology opens new ways of visual data understanding and analysis and gives computers the ability to “see” useful information. It can be used across different industries, including Healthcare.
CV helps doctors correctly diagnose their patients, track the progression of the disease and prescribe appropriate treatment methods. It is used to train machines to imitate human vision in order to analyze images and videos, thereby saving time on repetitive tasks.
Today, you can use CV analysis in various fields of medicine, including cardiology, which brings undoubted advantages to patients and medical specialists.
How can you use CV in cardiology?
Young professionals in the field of cardiology often face complex and controversial cases in their medical practice. Many of them do not have the opportunity to get expert opinions or advice from more experienced colleagues in their workplace.
Healthcare specialists have to use standard communication tools like messengers and a smartphone camera to exchange the results of cardiac examinations and collaborate on a deeper study of particular cases.
Consulting by phone and sending photos of cardiograms cannot provide high-quality visualization for evaluating the results, which can have a bad effect on the accuracy of the diagnosis and the correctness of further treatment.
In order to avoid inaccuracies that could affect the quality of medical care and professional development, cardiologists need a software solution for digitizing and transferring data without losing diagnostic information.
One example of such applications is a project developed by the Exposit Machine Learning Team. To provide a convenient exchange of information and professional experience between cardiologists, we have created a software solution and algorithm for ECG digitization.
How does this system work, and what benefits does it bring to medical professionals?
Computer vision system for ECG digitization
We started the development of the CV solution for cardiologists with the research and testing of the effectiveness of the idea in the case of ECG data digitalization.
We created an algorithm that can process one type of ECG image that contains one ECG window, horizontal channels, and a visible grid. The algorithm detects the grid and horizontal channels in the image, separates them, removes visual noise, and digitizes them as a graph in the EDF (European Data Format) format.
The EDF format is the standard for storing and exchanging medical time series that allows doctors and patients to send, receive and analyze data effortlessly using any independent software.
Thus, the Computer vision system for ECG digitization designed by our team for cardiologists can digitalize a graphical scanned ECG into a digital data storage EDF format without losing any diagnostic information.
It helps doctors can easily exchange information about heart examinations in case of need for recommendations from colleagues, additional automatic or manual data analysis.
ECG digitalization: new possibilities for cardiologists
ECG digitalization solution improves interoperability between health organizations and allows cardiologists to remotely receive recommendations from colleagues, improve their skills, and, accordingly, the quality of medical care.
Exposit Computer Vision Team is always ready to provide value through the software development process: from the discovery phase to a marketable product. Contact us to implement your ideas into smart Healthcare solutions that will allow you to see more.