An Overview of Signal Quality Indices on Dynamic ECG Signal Quality Assessment
With the rapid development of wearable ECG medical devices, it is an imperious demand to evaluate the quality of dynamic ECG signals. Thus, a lot of signal quality indices (SQIs) have been proposed in the past few years. In this chapter, we review the ana
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ture Engineering and Computational Intelligence in ECG Monitoring
Feature Engineering and Computational Intelligence in ECG Monitoring
Chengyu Liu • Jianqing Li Editors
Feature Engineering and Computational Intelligence in ECG Monitoring
Editors Chengyu Liu The State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering Southeast University Nanjing, China
Jianqing Li School of Biomedical Engineering and Informatics Nanjing Medical University Nanjing, China
ISBN 978-981-15-3823-0 ISBN 978-981-15-3824-7 https://doi.org/10.1007/978-981-15-3824-7
(eBook)
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Preface
Computational Intelligence Will Benefit Heart Patients Clinical observation of heart activity from the body surface has become so common that we now rarely stop to think about it. Advances made over the past 100 years have been astonishing. What lies next? It would be all too easy to say that there is little more that can be achieved. That is far from the case, and a well-informed review of modern computational approaches should encourage new developments, with the expectation that many will progress to become essential clinically useful techniques. The book by Chengyu Liu and colleagues (Feature Engineering and Computational Intelligence in ECG Monitoring) is just what is needed to encourage such new research. Electrocardiography started with the development of often cumbersome, complex and costly equipment. As a result of much research and development, devices that create the electrocardiogram (ECG) now appear in every hospital and in most family doctor clinics and ambulances. The most
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