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Computer-aided arrhythmia diagnosis with bio-signal processing: a survey of trends and techniques
Dinakarrao S., Jantsch A., Shafique M.  ACM Computing Surveys 52 (2): 1-37, 2019. Type: Article
Date Reviewed: Sep 5 2019

This magnificent research report may very well be a watershed in cardiology research.

The work essentially discusses alternatives to the electrocardiogram (ECG) in detecting abnormalities in a patient’s heart function. However, the major tool used in the study focuses on computer-aided design (CAD) and how it can improve the diagnoses of heart problems. Several different computer-aided diagnosis (CADiag) techniques are covered in this study, along with their benefits and limitations.

After a short paragraph on the challenges of arrhythmia detection, the authors outline the rest of their presentation: overview, ECG detection in a categorized manner, various techniques, comparisons of various techniques, a tradeoff analysis, and, finally, hardware analysis. From here, it is an in-depth and sophisticated article. The reference section alone is more than three full pages.

Although not written for the amateur, the research findings are of inestimable importance and value to professional cardiologists, both in clinics and research laboratories.

Reviewer:  James Van Speybroeck Review #: CR146682 (1912-0458)
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