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Representative ways to analyze and survey changes in long-term electrocardiographic recordings
Author(s) -
Simona Crihalmeanu
Publication year - 2000
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.33915/etd.1069
Subject(s) - cardiotoxicity , term (time) , computer science , electrocardiography , signal (programming language) , heart rate variability , data mining , medicine , pattern recognition (psychology) , artificial intelligence , cardiology , heart rate , physics , chemotherapy , quantum mechanics , blood pressure , programming language

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