| Description |
1 online resource |
| Series |
SpringerBriefs in bioengineering |
|
SpringerBriefs in bioengineering.
|
| 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 |
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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 |
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2.4.1 Features Specific to Multi-lead ECGs2.5 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 |
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3.5.1 Physiological Thresholds and Heuristics3.5.2 Data Fusion -- 3.5.2.1 Kalman Filters -- 3.5.2.2 Machine Learning -- 3.6 Summary |
| 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 wearable sensors for inpatient and outpatient settings. In addition, the book assesses current approaches through a practical lens by discussing the implications of deploying the various proposed systems for clinical practices and health outcomes. As such, it will be of considerable interest to both graduate students and researchers working to develop personalized healthcare applications, as well as physiological sensor software and hardware developers |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed October 18, 2017) |
| Subject |
Signal processing -- Digital techniques.
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Patient monitoring.
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Patient monitoring -- Equipment and supplies.
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Electrocardiography.
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Reproducible research.
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Monitoring, Physiologic -- instrumentation
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Signal Processing, Computer-Assisted
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Reproducibility of Results
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Electrocardiography
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Photoplethysmography
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Monitoring, Physiologic
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TECHNOLOGY & ENGINEERING -- Mechanical.
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Patient monitoring -- Equipment and supplies
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Electrocardiography
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Patient monitoring
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Signal processing -- Digital techniques
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| Form |
Electronic book
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| ISBN |
9783319684154 |
|
3319684159 |
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