In this study, we introduce a deep learning model designed to assist cardiologists in the early diagnosis of PAF during NSR by classifying ECGs into Healthy-NSR ECG and PAF-NSR ECG categories. We ...

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

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

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

The preliminary data open the door to an alternative approach to invasive monitoring in heart failure patients.

Highland Community College introduced a new vehicle on Monday designed to bring health care into rural areas. The Mobile ...

Read the article and post your comments and questions for Emily Anthes by Dec. 5. By The Learning Network What behaviors or actions from a potential partner tell you to go ahead, slow down or ...

Common signs of Wenckebach heart block are feeling dizzy, tired, and having a fast heartbeat. These signs can be hard to ...

AI-Driven Activity Recommendations for Cardiovascular Patients Using Wearable Data - In todays digital era, where healthcare ...

Nov. 20, 2024 — Historical policies shaping educational attainment have enduring benefits for later life memory and risk of dementia, according to a new study. The ... How Children Learned for ...

Adobe Creative Cloud for $30/month ($30 off): First-time subscribers can get half off Creative Cloud for their first year of ...

His recent work focuses on leveraging machine learning (ML) to create adaptive systems that cater to the unique needs of individuals with cardiovascular conditions. Vishnu's research highlights the ...