Analog-and-algorithm-assisted ultra-low power biosignal acquisition systems. ([2019])

• Record Type: Book
• Further Information: Note: Venkata Rajesh Pamula, Chris Van Hoof and Marian Verhelst.
• Authors: Pamula, Venkata Rajesh; Hoof, Chris van; Verhelst, Marian
• Contents: Intro; Preface; Abstract; Acknowledgments; Contents; Abbreviations and Acronyms; List of Figures; List of Tables; 1 Challenges and Opportunities in Wearable Biomedical Interfaces; 1.1 Introduction; 1.2 Low-Power Biomedical Interfaces; 1.3 Introduction and Overview of ECG and PPG; 1.3.1 Introduction to ECG SignalProcessing; 1.3.2 Introduction to PPG Signal Processing; 1.4 Architectural and Algorithmic Approaches: Assisted Processing Architectures; 1.5 Overview and Organization of the Book; 2 Adaptive Sampling for Ultra-Low-Power ECG Readouts; 2.1 Overview of Adaptive Sampling 2.2 Adaptive Sampling for ECG2.2.1 Performance Evaluation of Adaptive Sampling on Real Datasets; 2.2.2 Energetics and Power Budget of the Analog Adaptive Sampling Controller (ASC); 2.3 Architecture of the Adaptive Sampling Controller (ASC); 2.3.1 Activity Detector; 2.3.2 Delay Element; 2.3.2.1 The Filter Transfer Function; 2.3.2.2 Passive Bessel Filter Topology; 2.3.2.3 gm-C Filter Topology; 2.3.2.4 Noise Analysis; 2.3.2.5 Effect of Non-idealities of the OTA on Filter Response; 2.4 Measured Performance of the Adaptive Sampling Controller(ASC); 2.5 Conclusions 3 Introduction to Compressive Sampling (CS)3.1 Beyond Nyquist Signal Processing; 3.2 Compressive Sampling Signal Acquisition; 3.3 Compressive Sampling Signal Reconstruction; 3.4 Reconstruction Algorithm with Reduced Edge Artifacts; 3.4.1 Algorithm Proposal; 3.4.2 Computational Complexity of Overlapped Window Reconstruction; 3.4.3 Simulation Results; 3.5 State-of-the-Art Compressive Sampling HardwareImplementations; 3.6 Conclusions; 4 Compressed Domain Feature Extraction; 4.1 Introduction; 4.2 Overview of the State of the Art; 4.3 Feature Extraction from Compressively Sampled PPG Signals 4.4 Conclusions5 A Low-Power Compressive Sampling (CS) PPG Readout with Embedded Feature Extraction; 5.1 Introduction; 5.2 PPG SoC Architecture and Building Blocks; 5.2.1 Duty Cycle Reduction in Compressive Sampling (CS) PPG Readout; 5.2.2 Compressive Sampling (CS) PPG SoC Architecture; 5.2.3 Architecture of the Analog Front End (AFE); 5.2.3.1 The Transimpedance Amplifier (TIA); 5.2.3.2 The Switched Integrator (SI); 5.2.3.3 The Successive Approximation Register (SAR) Analog-to-Digital Converter (ADC); 5.2.4 Architecture of the Digital Back End (DBE) 5.3 Measured Performance of the PPG Application Specific Integrated Circuit (ASIC)5.4 Conclusions; 6 Conclusions and Future Work; 6.1 Summary and Contributions of the Book; 6.2 Future Work; 6.2.1 Motion Artifact Reduction in PPG Acquisition Systems; 6.2.2 Event-Driven ECG Assisted PPG Acquisition; 6.3 Conclusions; References; Index
• Publisher Details: Cham, Switzerland : Springer Nature
• Publication Date: 2019
• Copyright Date: 2019
• Extent: 1 online resource
• Subjects: 621.3822; Signal processing -- Digital techniques -- Equipment and supplies; TECHNOLOGY & ENGINEERING / Mechanical; Electronic books
• Languages: English
• ISBNs: 9783030058708; 3030058700
• Related ISBNs: 9783030058692; 3030058697
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF file page (EBSCO, viewed January 10, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.