The electrocardiogram (ECG) remains a cornerstone in cardiovascular diagnostics, yet its clinical utility is often compromised by signal distortions introduced during acquisition. Contemporary ...

Signal-to-Noise Ratio (SNR) Improvement: Studies show significant SNR improvements, with zero-phase filtering alone ...

Electrocardiogram (ECG) signal compression techniques are essential for the efficient storage, transmission and real‐time processing of cardiac data. Advanced methods utilising discrete wavelet ...

A dynamic ECG reporting engine that supports clinical workflows with customizable components and adaptable output structures These patents strengthen AIML's position in the growing field of ...

Bioelectrical signals (including EEG, EMG, and ECG signals) have been widely applied in health monitoring, disease treatment, wearable devices, myoelectric exoskeletons, brain-machine interfaces, and ...

Letter of Intent: Circular Health Limited to Enhance ECG Smart Ring with AI-Powered Signal Clarity with multi‑year, per‑user SaaS license targeting commercial launch by September 2025. Global growth ...

ADInstruments is expanding its support for researchers and educators working with electrocardiography by providing practical tools for both signal accuracy and waveform analysis.

Of all the electrical signals generated by the human body, those coming from the heart are probably the most familiar to the average person. And because it’s also quite simple to implement the ...

Sudden cardiac events (SCEs) are the leading cause of line-of-duty deaths (LODDs) among firefighters in the United States, so it is obvious why there is such an appeal for electrocardiogram (ECG) ...