Electrocardiogram (ECG) data analysis is essential for the recognition and treatment of cardiac diseases. It is applied in a variety of diagnostic settings, including preclinical, clinical, ambulatory, and in-home settings, as well as in clinical trials of new drugs.
As part of its cardiac drug development and approval process, a pharmaceutical company must investigate the new drug’s effect on the heart. This involves analyzing ECG signals to identify abnormalities and ensure cardiac drug safety.
Engineers at Khawaja Medical Technology have developed novel and advanced algorithms that fully automate ECG signal analysis. The algorithms enable real-time monitoring and analysis of ECG signals from a subject who is resting, exercising, or wearing a Holter monitor (used to track heart rhythms over a period of days). Khawaja Medical Technology accelerated development of the software by using Model-Based Design with MATLAB® and Simulink®.
“We’ve been using Model-Based Design from the first day of our company,” says Dr. Antoun Khawaja, CEO and chief scientific officer at Khawaja Medical Technology. “By enabling us to rapidly create prototypes and ensure compliance with ISO standards for medical devices, Model-Based Design reduced development time for high-quality ECG analysis software by 40%.”