Wi-Fi signals bounce off humans in predictable patterns and can detect respiration and pulse, creating an invisible, ...

ADInstruments Lt educational platform provides pre designed laboratory exercises that incorporate physiological data acquisition, allowing students to perform ECG recordings while learning proper ...

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The latest science coming out of ACC.25, held March 29-31 in Chicago, IL, illuminated new approaches in how artificial intelligence (AI) can be used to improve the efficiency of cardiovascular care, ...

Ashley has received royalties or licences from Personalis, Svexa, Swift Bio, Deepcell, and Saturnus Bio; payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing, or ...

Bradyarrhythmia is a common and potentially serious cause of syncope, often difficult to detect due to its intermittent nature. Traditional ECG monitoring methods either provide low diagnostic ...

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Although electroencephalogram (EEG) is widely used to monitor brain activity in epilepsy, limitations related to the accessibility and reproducibility of measurements may restrict its everyday use.

Abstract: Objective: In this paper we develop and evaluate ECG-SMART-NET for occlusion myocardial infarction (OMI) identification. OMI is a severe form of heart attack characterized by complete ...

WaveformNet is a deep learning project for classifying electrocardiogram (ECG) signals into multiple arrhythmia types using convolutional neural networks. It features two separately trained models: a ...