Computer aided diagnosis for cardiovascular diseases based on ECG signals: A survey

FAUST, Oliver and NG, Eddie YK (2016). Computer aided diagnosis for cardiovascular diseases based on ECG signals: A survey. Journal of Mechanics in Medicine and Biology, 16 (1), p. 1640001.

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The interpretation of Electroencephalography (ECG) signals is difficult, because even subtle changes in the waveform can indicate a serious heart disease. Furthermore, these waveform changes might not be present all the time. As a consequence, it takes years of training for a medical practitioner to become an expert in ECG-based cardiovascular disease diagnosis. That training is a major investment in a specific skill. Even with expert ability, the signal interpretation takes time. In addition, human interpretation of ECG signals causes interoperator and intraoperator variability. ECG-based Computer-Aided Diagnosis (CAD) holds the promise of improving the diagnosis accuracy and reducing the cost. The same ECG signal will result in the same diagnosis support regardless of time and place. This paper introduces both the techniques used to realize the CAD functionality and the methods used to assess the established functionality. This survey aims to instill trust in CAD of cardiovascular diseases using ECG signals by introducing both a conceptional overview of the system and the necessary assessment methods.

Item Type: Article
Uncontrolled Keywords: Cardiovascular diseases; electroencephalography; computer-aided diagnosis; formal system design
Research Institute, Centre or Group: Materials and Engineering Research Institute > Engineering Research
Departments: Faculty of Science, Technology and Arts > Department of Engineering and Mathematics
Identification Number:
Depositing User: Oliver Faust
Date Deposited: 06 Feb 2018 15:53
Last Modified: 28 Mar 2019 15:45

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