Analog And Algorithm Assisted Ultra Low Power Biosignal Acquisition Systems
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Analog And Algorithm Assisted Ultra Low Power Biosignal Acquisition Systems
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Author : Venkata Rajesh Pamula
language : en
Publisher: Springer
Release Date : 2019-01-02
Analog And Algorithm Assisted Ultra Low Power Biosignal Acquisition Systems written by Venkata Rajesh Pamula and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-02 with Technology & Engineering categories.
This book discusses the design and implementation aspects of ultra-low power biosignal acquisition platforms that exploit analog-assisted and algorithmic approaches for power savings.The authors describe an approach referred to as “analog-and-algorithm-assisted” signal processing.This enables significant power consumption reductions by implementing low power biosignal acquisition systems, leveraging analog preprocessing and algorithmic approaches to reduce the data rate very early in the signal processing chain.They demonstrate savings for wearable sensor networks (WSN) and body area networks (BAN), in the sensors’ stimulation power consumption, as well in the power consumption of the digital signal processing and the radio link. Two specific implementations, an adaptive sampling electrocardiogram (ECG) acquisition and a compressive sampling (CS) photoplethysmogram (PPG) acquisition system, are demonstrated. First book to present the so called, “analog-and-algorithm-assisted” approaches for ultra-low power biosignal acquisition and processing platforms; Covers the recent trend of “beyond Nyquist rate” signal acquisition and processing in detail, including adaptive sampling and compressive sampling paradigms; Includes chapters on compressed domain feature extraction, as well as acquisition of photoplethysmogram, an emerging optical sensing modality, including compressive sampling based PPG readout with embedded feature extraction; Discusses emerging trends in sensor fusion for improving the signal integrity, as well as lowering the power consumption of biosignal acquisition systems.
International Aerospace Abstracts
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Author :
language : en
Publisher:
Release Date : 1981
International Aerospace Abstracts written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Aeronautics categories.
Conference Papers Index
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Author :
language : en
Publisher:
Release Date : 1987
Conference Papers Index written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Engineering categories.
Biopotential Readout Circuits For Portable Acquisition Systems
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Author : Refet Firat Yazicioglu
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-10-16
Biopotential Readout Circuits For Portable Acquisition Systems written by Refet Firat Yazicioglu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-16 with Technology & Engineering categories.
Biopotential Readout Circuits for Portable Acquisition Systems describes one of the main building blocks of such miniaturized biomedical signal acquisition systems. The focus of this book is on the implementation of low-power and high-performance integrated circuit building blocks that can be used to extract biopotential signals from conventional biopotential electrodes. New instrumentation amplifier architectures are introduced and their design is described in detail. These amplifiers are used to implement complete acquisition demonstrator systems that are a stepping stone towards practical miniaturized and low-power systems.
Ultra Low Power Biomedical Signal Processing
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Author : Sandro Augusto Pavlik Haddad
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-05-26
Ultra Low Power Biomedical Signal Processing written by Sandro Augusto Pavlik Haddad and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-26 with Technology & Engineering categories.
Often WT systems employ the discrete wavelet transform, implemented on a digital signal processor. However, in ultra low-power applications such as biomedical implantable devices, it is not suitable to implement the WT by means of digital circuitry due to the relatively high power consumption associated with the required A/D converter. Low-power analog realization of the wavelet transform enables its application in vivo, e.g. in pacemakers, where the wavelet transform provides a means to extremely reliable cardiac signal detection. In Ultra Low-Power Biomedical Signal Processing we present a novel method for implementing signal processing based on WT in an analog way. The methodology presented focuses on the development of ultra low-power analog integrated circuits that implement the required signal processing, taking into account the limitations imposed by an implantable device.
Energy Efficient Physical Computation Electronics For Biomedical Signal Processing Applications
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Author : Cihan Berk Güngör
language : en
Publisher:
Release Date : 2022
Energy Efficient Physical Computation Electronics For Biomedical Signal Processing Applications written by Cihan Berk Güngör and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Biological signal sensing and processing has greatly improved our understanding about the body. With the increased number of high quality biosignals that can be sensed from the body, more efficient sensing and processing systems are detrimental to meet requirements of high bandwidth data measurement and processing in power and area limited settings. Power limitation is more and more stringent with the goal of making unobtrusive wearable/implantable devices, where the battery should be long-lasting (e.g., weeks) and as small as possible at the same time. A conventional wearable/implantable biological signal sensing system includes analog-front-end to measure a biosignal, analog-to-digital converter for conversion of the measured signal, and radio to transmit the digitized signal. The most power-hungry block among them is radio, where the power consumption increases with data bandwidth. To overcome the radio power domination, physiologically relevant information can be extracted on sensing system, which would significantly reduce the transferred data bandwidth. Notably, while achieving radio power savings, the accuracy of the on-chip processing should be high. To achieve ultra-low power and high accuracy on-chip processing in resource limiting settings, the dissertation presents two ways. The first path focuses on implementation of a high accuracy digital biological signal processing algorithm in the analog signal processing (ASP) domain. Presented ASP implementation of a high accuracy algorithm achieves high electrocardiogram (ECG) feature detection with the lowest power consumption reported. In the second path, a novel biosignal processing algorithm with physical roots is introduced for intracortical neural spike and ECG feature detection. Moreover, a physical implementation of the developed algorithm with physical computation elements is designed and validated against public and custom datasets. The algorithm with physical origins achieves better signal enhancement and feature detection than widely used ECG and intracortical neural signal enhancement algorithms. Additionally, its ultra-low power physical implementation offers real-time operation while not compromising accuracy. In the dissertation, first, algorithm-level discussions are presented, which are followed by circuit design discussions. Before going into details of algorithms, in Introduction, significance of real-time and accurate ultra-low power on-chip processing is emphasized.
Ultra Low Power Biomedical Signal Processing
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Author : Sandro Augusto Pavlík Haddad
language : en
Publisher:
Release Date : 2006
Ultra Low Power Biomedical Signal Processing written by Sandro Augusto Pavlík Haddad and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
Understanding The Practical Limitations Of Applying Analog Compressed Sensing Systems To Ecg Signals
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Author : Anna Marie Rogers Dixon
language : en
Publisher:
Release Date : 2012
Understanding The Practical Limitations Of Applying Analog Compressed Sensing Systems To Ecg Signals written by Anna Marie Rogers Dixon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Compressed sensing (Telecommunication) categories.
Body area networks (BAN), networks of wearable and wireless physiological sensors, are expected to have a profound positive impact in healthcare. The bio-signal sensors are equipped with ultra-low power radios communicating to a BAN personal base station, and ultimately the healthcare provider. Most of the power dissipated in a state-of-the-art bio-signal sensor occurs when the RF power amplifier transmits data to the personal base station. Thus, a method is desired that decreases the amount of data to be transmitted which reduces the duty cycle of the power amplifier and increases the overall energy efficiency. Compressed sensing (CS) is a compression scheme capable of significantly reducing a signal acquisition's data rate. CS requires only a few incoherent measurements to compress signals that are sparse in some domain. Since compressed sensing is still an emerging topic, only a handful of CS systems have been realized in hardware. These systems have shown promising and yet limited abilities. The objective of this research is to provide designers with a roadmap that enables them to more easily make correct decisions in designing analog CS encoders and decoders for bio-signals. By showing the impact of the considerations of this CS system on ECG signals, it will set up a framework for how to approach and/or analyze the design of these systems for all bio-signals. The CS roadmap accomplishes this goal this by demonstrating the importance of signal sparsity, guides the design of sensing matrix generation, addressing the impact of several analog CS imperfections on CS compression and guides the selection of proper CS reconstruction algorithms.
Ultra Low Voltage Frequency Synthesizer And Successive Approximation Analog To Digital Converter For Biomedical Applications
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Author : Chung-Chih Hung
language : en
Publisher: Springer Nature
Release Date : 2021-12-07
Ultra Low Voltage Frequency Synthesizer And Successive Approximation Analog To Digital Converter For Biomedical Applications written by Chung-Chih Hung and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-07 with Technology & Engineering categories.
This book introduces the origin of biomedical signals and the operating principles behind them and introduces the characteristics of common biomedical signals for subsequent signal measurement and judgment. Since biomedical signals are captured by wearable devices, sensor devices, or implanted devices, these devices are all battery-powered to maintain long working time. We hope to reduce their power consumption to extend service life, especially for implantable devices, because battery replacement can only be done through surgery. Therefore, we must understand how to design low-power integrated circuits. Both implantable and in-vitro medical signal detectors require two basic components to collect and transmit biomedical signals: an analog-to-digital converter and a frequency synthesizer because these measured biomedical signals are wirelessly transmitted to the relevant receiving unit. The core unit of wireless transmission is the frequency synthesizer, which provides a wide frequency range and stable frequency to demonstrate the quality and performance of the wireless transmitter. Therefore, the basic operating principle and model of the frequency synthesizer are introduced. We also show design examples and measurement results of a low-power low-voltage integer-N frequency synthesizer for biomedical applications. The detection of biomedical signals needs to be converted into digital signals by an analog-to-digital converter to facilitate subsequent signal processing and recognition. Therefore, the operating principle of the analog-to-digital converter is introduced. We also show implementation examples and measurement results of low-power low-voltage analog-to-digital converters for biomedical applications.
A Low Voltage Subthreshold All Digital Phase Locked Loop For Ultra Low Power Biomedical Microsystems
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Author : Tanuj Aggarwal
language : en
Publisher:
Release Date : 2010
A Low Voltage Subthreshold All Digital Phase Locked Loop For Ultra Low Power Biomedical Microsystems written by Tanuj Aggarwal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
ABSTRACT: Biomedical micro-systems have very stringent space and low power constraints and need to accomplish data sensing and communication in a cost effective way. A clock signal is required by on-chip analog and digital components for sampling or processing the gathered data as well as for synchronizing the system. Although the power constraints are rigid, the clock frequency requirements are relaxed as the majority of biomedical signals reside at low frequencies. Thus low power, low area, low frequency, low voltage operation and simple implementation are the key features required by a clock generator in order to be incorporated in implantable biomedical systems or sensor networks.