Abstract: This paper presents a portable ECG device combined with a deep learning model to provide ECG analysis in real-time to predict cardiac abnormalities. ECG signals are captured using a compact ...
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The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...
Cannabis use showed no significant association with ECG abnormalities in people with HIV infection, although women had higher odds of abnormal ECG findings than men. Men with HIV infection had higher ...
The era of A.I. propaganda is here — and President Trump is an enthusiastic participant. After nationwide protests this weekend against Mr. Trump’s administration, the president posted an ...
Introduction: The increasing prevalence of type 2 diabetes mellitus (T2DM) requires improved early detection strategies that integrate demographic, clinical, physiological, and pharmacological data.
Abstract: This work presents the design and hardware implementation of a wavelet filter bank for the pre-processing of electrocardiographic (ECG) signals using an FPGA platform. The objective is to ...
The model is trained solely on ECG signals using HRV and EDR features with an LSTM-based neural network.
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