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ST Elevation Sonification of a 12-Lead ECG for the Assessment, Diagnosis, and Monitoring of ST Elevation Myocardial Infarction. [PDF]
Hermann T+5 more
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Establishing normative physiological values among breastfeeding infants in Malawi for the development of a pneumonia dysphagia risk score. [PDF]
Hoekstra NE+7 more
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Review on the Clinical, Imaging, and Therapeutic Aspects of Cardiac Masses in Dog. [PDF]
Mincă NA+6 more
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HeartPrint: Passive Heart Sounds Authentication Exploiting In-Ear Microphones
IEEE Conference on Computer Communications, 2023Biometrics has been increasingly integrated into wearable devices to enhance data privacy and security in recent years. Meanwhile, the popularity of wearables in turn creates a unique opportunity for capturing novel biometrics leveraging various embedded
Yetong Cao+4 more
semanticscholar +1 more source
Concurrency and Computation, 2022
Heart sounds have been widely used for years to monitor and classify heart diseases. Experts manually examine these sounds, which is arduous and time‐consuming.
M. Yıldırım
semanticscholar +1 more source
Heart sounds have been widely used for years to monitor and classify heart diseases. Experts manually examine these sounds, which is arduous and time‐consuming.
M. Yıldırım
semanticscholar +1 more source
Heart Sounds Classification Based on Feature Fusion Using Lightweight Neural Networks
IEEE Transactions on Instrumentation and Measurement, 2021Heart sounds are an important basis for evaluating heart disease. In recent years, auxiliary diagnosis technology of cardiovascular disease based on the detection of heart sound signals has become a research hotspot.
Suyi Li, Feng Li, Shijie Tang, F. Luo
semanticscholar +1 more source
Multi-class Heart Sounds Classification Using 2D-Convolutional Neural Network
International Conference on Communication, Computing & Security, 2020Heart disease is a major concern. To prevent this, it is important to detect cardiovascular diseases at the early stage. Early discovery of heart infections and constant treatment can lessen the death rate.
Megha Banerjee, S. Majhi
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A Semi-Supervised Approach For Identifying Abnormal Heart Sounds Using Variational Autoencoder
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020Abnormal heart sounds may have diverse frequency characteristics depending upon underlying pathological conditions. Designing a binary classifier for predicting normal and abnormal heart sounds using supervised learning requires a lot of training data ...
Rohan Banerjee, Avik Ghose
semanticscholar +1 more source