A research team led by Prof. Junghyup Lee of the Department of Electrical Engineering and Computer Science at DGIST has become the first in the world to develop a "time-interleaved noise-shaping SAR ...
Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
Medical regulator the Therapeutic Goods Administration (TGA) has approved the Apple Watch's hypertension notification feature, which detects signs of high blood pressure, for use in Australia. The ...
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Version 1.0.0 consolidates the architecture, machine learning model, and multiplatform deployment strategy for educational and predictive use of ECG data. ECGTwinMentor simulates a digital twin of an ...
Abstract: This paper presents a comparative study on the effectiveness of various feature selection methods and machine learning algorithms for arrhythmia prediction using electrocardiogram (ECG) ...
Abstract: The 12-lead electrocardiogram (ECG) method can diagnose more cardiovascular disease than the single-lead method, but it is difficult to use in daily life because numerous electrodes must be ...
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