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Signal quality assessment in physiological monitoring : state of the art and practical considerations

Author: Christina Orphanidou
Publisher: Cham : Springer, 2018.
Series: SpringerBriefs in bioengineering.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book provides a comprehensive overview of the state of the art in signal quality assessment techniques for physiological signals, and chiefly focuses on ECG (electrocardiography) and PPG (photoplethysmography) signals obtained from wearable sensors in ambulatory clinical settings. It presents the techniques currently proposed by leading researchers, as well as examples using data from clinical trials on  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Christina Orphanidou
ISBN: 9783319684154 3319684159
OCLC Number: 1005579435
Description: 1 online resource.
Contents: ""Contents""; ""1 Signal Quality Assessment in Physiological Monitoring: Requirements, Practices and Future Directions""; ""Abstract""; ""1.1 The Case for Signal Quality Assessment""; ""1.1.1 Continuous Physiological Monitoring""; ""1.1.2 Obstacles to Clinical Adoption""; ""1.1.3 Signal Quality Assessment""; ""1.2 Design Considerations and Requirements""; ""1.3 Basic Design Framework""; ""1.3.1 Population Demographics and Data Specifications""; ""1.3.2 Establishment of Ground Truth""; ""1.3.3 Performance Evaluation""; ""1.4 Challenges and Future Directions""; ""1.5 Summary""; ""References"" ""2 Quality Assessment for the Electrocardiogram (ECG)""""Abstract""; ""2.1 The Electrocardiogram (ECG)""; ""2.1.1 ECG Morphology""; ""2.1.2 Spectral Characteristics of the ECG""; ""2.2 ECG Quality Considerations""; ""2.3 Single-Channel Approaches""; ""2.3.1 ECG Feature Extraction""; ""2.3.1.1 ECG Beat Detection""; ""2.3.1.2 Feasibility Checks""; ""2.3.1.3 Trend-Based Approaches""; ""2.3.1.4 Frequency Domain Features""; ""2.3.2 Decision Rules""; ""2.3.2.1 Thresholds and Combinations of Rules""; ""2.3.2.2 Machine Learning Models""; ""2.4 Multi-lead Approaches"" ""2.4.1 Features Specific to Multi-lead ECGs""""2.5 Summary""; ""References""; ""3 Quality Assessment for the Photoplethysmogram (PPG)""; ""Abstract""; ""3.1 The Photoplethysmogram (PPG)""; ""3.1.1 PPG Morphology""; ""3.1.2 Spectral Characteristics of the PPG""; ""3.2 PPG and Noise""; ""3.3 PPG Quality Considerations""; ""3.4 PPG Feature Extraction""; ""3.4.1 PPG Beat Detection""; ""3.4.2 Time-Domain Features""; ""3.4.2.1 Feasibility Checks""; ""3.4.2.2 Morphological Features""; ""3.4.2.3 Trend-Based Approaches""; ""3.4.3 Frequency-Domain Features""; ""3.5 Decision Rules"" ""3.5.1 Physiological Thresholds and Heuristics""""3.5.2 Data Fusion""; ""3.5.2.1 Kalman Filters""; ""3.5.2.2 Machine Learning""; ""3.6 Summary""
Series Title: SpringerBriefs in bioengineering.
Responsibility: Christina Orphanidou.

Abstract:

This book provides a comprehensive overview of the state of the art in signal quality assessment techniques for physiological signals, and chiefly focuses on ECG (electrocardiography) and PPG  Read more...

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