Open AccessRepresentative ways to analyze and survey changes in long-term electrocardiographic recordings
Author(s) -
Simona Crihalmeanu
Publication year - 2019
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.33915/etd.1069
Subject(s) - cardiotoxicity , term (time) , computer science , electrocardiography , heart rate variability , signal (programming language) , data mining , medicine , pattern recognition (psychology) , artificial intelligence , cardiology , heart rate , chemotherapy , blood pressure , programming language , physics , quantum mechanics