In the modern era, advancements in implantable cardiac monitors are revolutionizing the landscape of cardiac healthcare. These sophisticated devices, designed to continuously track heart activity, are ...

PiEEG kit is a Raspberry Pi 5-based bioscience lab in a suitcase suitable for brain-computer interfaces, EMG, EKG, and EOG signal recording ...

One of AI’s most immediate impacts is in screening and identifying patients who may have asymptomatic or paroxysmal AF, those ...

This study analyzes ECG signal processing for cardiovascular disease diagnosis using AI. LSTM achieved the highest accuracy (95.1%) on a 1,200-record dataset, outperforming CNN (93.5%) and SVM (87.2%) ...

The filter outputs the median value of the window, thereby suppressing outlier values. For applications such as ECG signal processing, where baseline wandering (low-frequency noise) is also a concern, ...

The use of a brief 5-second ECG signal minimizes memory and processing power requirements, enabling rapid data processing and real-time authentication. The data collected specifically for this study ...

The proposed framework for the pervasive and mobile platform for ECG signal acquisition, processing, and pre‐diagnostic extraction encompasses the following modules: acquisition module, patient's ...

Digital signal processing is all around us. Today’s devices come with dozens of sensors, the data from which must be filtered and aggregated for use by artificial intelligence (AI) models. As these AI ...

Orban's Mike Pappas, Telos Alliance's Frank Foti and Wheatstone's Jeff Keith share their expertise on how to make HD channels ...