Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems write by Venkata Rajesh Pamula. This book was released on 2019-01-02. Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems available in PDF, EPUB and Kindle. 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.
Ultra Low-Power Biomedical Signal Processing
Ultra Low-Power Biomedical Signal Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Ultra Low-Power Biomedical Signal Processing write by Sandro Augusto Pavlik Haddad. This book was released on 2009-05-26. Ultra Low-Power Biomedical Signal Processing available in PDF, EPUB and Kindle. 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.
Biopotential Readout Circuits for Portable Acquisition Systems
Biopotential Readout Circuits for Portable Acquisition Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Biopotential Readout Circuits for Portable Acquisition Systems write by Refet Firat Yazicioglu. This book was released on 2008-10-16. Biopotential Readout Circuits for Portable Acquisition Systems available in PDF, EPUB and Kindle. 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.
Energy-Efficient Physical Computation Electronics for Biomedical Signal Processing Applications
Energy-Efficient Physical Computation Electronics for Biomedical Signal Processing Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Energy-Efficient Physical Computation Electronics for Biomedical Signal Processing Applications write by Cihan Berk Güngör. This book was released on 2022. Energy-Efficient Physical Computation Electronics for Biomedical Signal Processing Applications available in PDF, EPUB and Kindle. 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
Ultra Low-power Biomedical Signal Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Ultra Low-power Biomedical Signal Processing write by Sandro Augusto Pavlík Haddad. This book was released on 2006. Ultra Low-power Biomedical Signal Processing available in PDF, EPUB and Kindle.
