Lossless electrocardiogram signal compression: A review of existing methods
Abstract Background Cardiovascular diseases (CVDs) are among one of the leading causes
of death in the world today. Electrocardiography (ECG) is commonly used to monitor and …
of death in the world today. Electrocardiography (ECG) is commonly used to monitor and …
ECG heartbeat arrhythmia classification using time-series augmented signals and deep learning approach
Electrocardiogram (ECG) signals are the best way to monitor the functionality and health of
the cardiovascular system and also identify ailments related to it. Abnormal heartbeats are …
the cardiovascular system and also identify ailments related to it. Abnormal heartbeats are …
ECG signal compression based on ASCII coding using CUDA architecture
Telemedicine is experiencing a great growth in recent years, is a technology allowing
remote health services and exchange of medical information, among these areas we find …
remote health services and exchange of medical information, among these areas we find …
ECG compression and QRS detection: An IoT approach
HMO de Sousa - 2019 - search.proquest.com
During my five month internship at JTA: The Data Scientists we were challenged to build a
compression scheme for electrocardiogram (ECG) signals to be implemented in a portable …
compression scheme for electrocardiogram (ECG) signals to be implemented in a portable …