The second training session of selected engineers from some African countries by the Japan International Corporation Agency ...

Researchers at Penn State are using machine learning and existing electrocardiogram (ECG) data to help doctors make more ...

Multi-sequence knee magnetic resonance imaging (MRI) is an advanced non-invasive diagnostic method for knee pathology.

Ashanti Nurse, a high school junior at Kairos Academy, is making impressive strides toward her goal of becoming a ...

Mr David Boadi Asamoah, the Acting Managing Director of the Electricity Company of Ghana (ECG) Limited has launched the ...

"You don't have to have a technical skill to acquire this. People take classes for months to learn how to operate a traditional EKG. You take a class for 20 minutes with this new product to learn how ...

Worldwide, over 300 million electrocardiograms (EKGs) are performed each year, with one-third of those taking place in the ...

Introduction: While smartwatches that acquire Lead-I electrocardiogram (ECG) have shown promise in detecting arrhythmias, the detection of ischemic events using Lead-I alone remains understudied. We ...

In contrast, electrocardiograms (ECGs) are more common and easily accessible. In this study, we use a deep learning approach to correlate ECG readings with their corresponding EF. Low EF is defined as ...

Ambulatory electrocardiographic (ECG) monitoring is used to help medical professionals diagnose intermittent cardiac arrhythmias that occur only infrequently and unpredictably. Such arrhythmias often ...