IEEE

A 0.04 μJ/ Classification High-Accuracy Energy-Efficient ECG Processor with SNN On-Chip ...

Abstract: It is of great significance to conduct real-time Electrocardiography (ECG) monitoring with wearable devices. For wearable edge devices, the two most important factors are power consumption ...
GitHub

render_from_zip.py

Render a 12‑lead ECG "print layout" from a digitized ECGZIP package. This script DOES NOT use the original ECG image; it reconstructs the paper-like layout purely ...
GitHub

build_template_opencv.py

- Click and drag to draw a rectangle. - Press 'c' to confirm the current rectangle and move to the next panel. - Press 'r' to reset the current rectangle. - Press 'q' to quit (template written with ...
Tribune242

Rotary and Coakley donate new EKG machine to Rand hospital

THE Rotary Club of Grand Bahama and Coakley International donated a new electrocardiogram machine to Rand Memorial Hospital on Thursday, allowing the hospital to resume a key diagnostic service after ...
The Lancet

Risk-stratified classification of pulmonary nodule malignancy via a machine learning model ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...
IEEE

Interpretable Deep Learning Framework for Real-Time ECG Classification and Diagnosis

Abstract: Automatic arrhythmia detection requires effective and clear models because cardiovascular disease is increasingly common. Convolutional neural networks (CNNs) have proven to be the most ...