@Article{csse.2018.33.021,
AUTHOR = {Amjad Gawanmeh, Usman Pervez, Osman Hasan},
TITLE = {Probabliistic Analysis Of Electrocardiogram (Ecg) Heart Signal},
JOURNAL = {Computer Systems Science and Engineering},
VOLUME = {33},
YEAR = {2018},
NUMBER = {1},
PAGES = {21--29},
URL = {http://www.techscience.com/csse/v33n1/39954},
ISSN = {},
ABSTRACT = {Electrocardiography (ECG) is a heart signal wave that is recorded using medical sensors, which are normally attached to the human body by the heart.
ECG waves have repetitive patterns that can be efficiently used in the diagnosis of heart problems as they carry several characteristics of heart operation.
Traditionally, the analysis of ECG waves is done using informal techniques, like simulation, which is in-exhaustive and thus the analysis results may lead
to ambiguities and life threatening scenarios in extreme cases. In order to overcome such problems, we propose to analyze ECG heart signals using
probabilistic model checking, which is a formal methods based quantitative analysis approach. This work presents the formal probabilistic analysis of ECG
signal abnormalities where the likelihood of abnormal patterns is studied and analyzed using the PRISM model checker.},
DOI = {10.32604/csse.2018.33.021}
}