Energy Efficient Integrated Biomedical Circuits And Systems For Unobtrusive Neural Recording And Wireless Body Area Networks PDF Download
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Author | : Chul Kim |
Publisher | : |
Total Pages | : 164 |
Release | : 2017 |
Genre | : |
ISBN | : |
Download Energy-Efficient Integrated Biomedical Circuits and Systems for Unobtrusive Neural Recording and Wireless Body-Area Networks Book in PDF, ePub and Kindle
Despite tremendous progress over the years, current brain-machine interface (BMI) systems are relatively bulky, highly invasive, and limited in their effectiveness except for highly constrained tasks such as moving a cursor on a computer screen. To improve performance of current BMI systems, it is necessary to dramatically increase spatial resolution and coverage across the brain without constraining the mobility of the subject. This calls for innovative approaches to high-density integrated neural recording and stimulation using non-invasive or minimally invasive microelectrode and custom silicon integrated circuits at extreme energy and area efficiency. In this thesis, I present energy-efficient fully integrated miniaturized implants for electrocortical recording and stimulation, and unobtrusive body-area networks systems for subcutaneous power delivery and data communication, as fundamental building blocks to next generation BMI. First I describe a fully wireless, encapsulated neural interface and acquisition chip (ENIAC) in 180nm silicon-on-insulator (SOI) complementary metal-oxide-semiconductor (CMOS) technology for 16-channel neural recording and stimulation including integrated 4x4 electrode array, coil antenna, and wireless power transfer and data telemetry without any external components, completely contained in less than 3mm3 volume suitable for minimally invasive surgical insertion on the cortical surface. A novel fully integrated wireless power receiver design with an RF-decoupled H-tree signal distribution network delivers 1mW power over 1 cm distance while mitigating RF interference in the sensitive analog front-end and acquisition circuits for recording of electrocorticography (ECoG) signals transmitted through the skull. Second I highlight a 1mm2 16-channel neural recording and acquisition system-on-chip in 65nm CMOS offering 92 dB input dynamic range and
Author | : Kerim Türe |
Publisher | : Springer Nature |
Total Pages | : 119 |
Release | : 2020-03-04 |
Genre | : Technology & Engineering |
ISBN | : 3030408264 |
Download Wireless Power Transfer and Data Communication for Intracranial Neural Recording Applications Book in PDF, ePub and Kindle
This book describes new circuits and systems for implantable wireless neural monitoring systems and explains the design of a batteryless, remotely-powered implantable micro-system, designed for continuous neural monitoring. Following new trends in implantable biomedical applications, the authors demonstrate a system which is capable of efficient remote powering and reliable data communication. Novel architecture and design methodologies are used for low power and small area wireless communication link. Additionally, hermetically sealed packaging and in-vivo validation of the implantable device is presented.
Author | : Gürkan Yilmaz |
Publisher | : Springer |
Total Pages | : 119 |
Release | : 2017-01-01 |
Genre | : Technology & Engineering |
ISBN | : 331949337X |
Download Wireless Power Transfer and Data Communication for Neural Implants Book in PDF, ePub and Kindle
This book presents new circuits and systems for implantable biomedical applications targeting neural recording. The authors describe a system design adapted to conform to the requirements of an epilepsy monitoring system. Throughout the book, these requirements are reflected in terms of implant size, power consumption, and data rate. In addition to theoretical background which explains the relevant technical challenges, the authors provide practical, step-by-step solutions to these problems. Readers will gain understanding of the numerical values in such a system, enabling projections for feasibility of new projects.
Author | : Sohmyung Ha |
Publisher | : Academic Press |
Total Pages | : 210 |
Release | : 2019-08-03 |
Genre | : Science |
ISBN | : 0128151161 |
Download High-Density Integrated Electrocortical Neural Interfaces Book in PDF, ePub and Kindle
High-Density Integrated Electrocortical Neural Interfaces provides a basic understanding, design strategies and implementation applications for electrocortical neural interfaces with a focus on integrated circuit design technologies. A wide variety of topics associated with the design and application of electrocortical neural implants are covered in this book. Written by leading experts in the field— Dr. Sohmyung Ha, Dr. Chul Kim, Dr. Patrick P. Mercier and Dr. Gert Cauwenberghs —the book discusses basic principles and practical design strategies of electrocorticography, electrode interfaces, signal acquisition, power delivery, data communication, and stimulation. In addition, an overview and critical review of the state-of-the-art research is included. These methodologies present a path towards the development of minimally invasive brain-computer interfaces capable of resolving microscale neural activity with wide-ranging coverage across the cortical surface. Written by leading researchers in electrocorticography in brain-computer interfaces Offers a unique focus on neural interface circuit design, from electrode to interface, circuit, powering, communication and encapsulation Covers the newest ECoG interface systems and electrode interfaces for ECoG and biopotential sensing
Author | : Woradorn Wattanapanitch |
Publisher | : |
Total Pages | : 187 |
Release | : 2011 |
Genre | : |
ISBN | : |
Download An Ultra Low Power Implantable Neural Recording System for Brain-machine Interfaces Book in PDF, ePub and Kindle
In the past few decades, direct recordings from different areas of the brain have enabled scientists to gradually understand and unlock the secrets of neural coding. This scientific advancement has shown great promise for successful development of practical brain-machine interfaces (BMIs) to restore lost body functions to patients with disorders in the central nervous system. Practical BMIs require the uses of implantable wireless neural recording systems to record and process neural signals, before transmitting neural information wirelessly to an external device, while avoiding the risk of infection due to through-skin connections. The implantability requirement poses major constraints on the size and total power consumption of the neural recording system. This thesis presents the design of an ultra-low-power implantable wireless neural recording system for use in brain-machine interfaces. The system is capable of amplifying and digitizing neural signals from 32 recording electrodes, and processing the digitized neural data before transmitting the neural information wirelessly to a receiver at a data rate of 2.5 Mbps. By combining state-of-the-art custom ASICs, a commercially-available FPGA, and discrete components, the system achieves excellent energy efficiency, while still offering design flexibility during the system development phase. The system's power consumption of 6.4 mW from a 3.6-V supply at a wireless output data rate of 2.5 Mbps makes it the most energy-efficient implantable wireless neural recording system reported to date. The system is integrated on a flexible PCB platform with dimensions of 1.8 cm x 5.6 cm and is designed to be powered by an implantable Li-ion battery. As part of this thesis, I describe the design of low-power integrated circuits (ICs) for amplification and digitization of the neural signals, including a neural amplifier and a 32-channel neural recording IC. Low-power low-noise design techniques are utilized in the design of the neural amplifier such that it achieves a noise efficiency factor (NEF) of 2.67, which is close to the theoretical limit determined by physics. The neural recording IC consists of neural amplifiers, analog multiplexers, ADCs, serial programming interfaces, and a digital processing unit. It can amplify and digitize neural signals from 32 recording electrodes, with a sampling rate of 31.25 kS/s per channel, and send the digitized data off-chip for further processing. The IC was successfully tested in an in-vivo wireless recording experiment from a behaving primate with an average power dissipation per channel of 10.1 [mu]W. Such a system is also widely useful in implantable brain-machine interfaces for the blind and paralyzed, and in cochlea implants for the deaf.
Author | : Masood Ur Rehman |
Publisher | : Springer Nature |
Total Pages | : 325 |
Release | : 2022-02-10 |
Genre | : Medical |
ISBN | : 3030955931 |
Download Body Area Networks. Smart IoT and Big Data for Intelligent Health Management Book in PDF, ePub and Kindle
This book constitutes the refereed post-conference proceedings of the 16th International Conference on Body Area Networks, BodyNets 2021, held in October 2021. The conference was held virtually due to the COVID-19 pandemic. The 21 papers presented were selected from 44 submissions and issue new technologies to provide trustable measuring and communications mechanisms from the data source to medical health databases. Wireless body area networks (WBAN) are one major element in this process. Not only on-body devices but also technologies providing information from inside a body are in the focus of this conference. Dependable communications combined with accurate localization and behavior analysis will benefit WBAN technology and make the healthcare processes more effective.
Author | : Dejan Rozgic |
Publisher | : |
Total Pages | : 144 |
Release | : 2017 |
Genre | : |
ISBN | : |
Download Flexible and Energy-Efficient Circuits for Implantable Biomedical Systems Book in PDF, ePub and Kindle
Biomedical implant-scale electronics have gained a lot of attention in recent years. Particularly, neuromodulation implants are an important tool in treating drug-resistant neurological conditions, while also improving our understanding of the brain. Although demands for adding more functionality to the implant are constantly increasing, their power consumption and size are usually limiting factors that determine longevity of the battery and dictates the overall throughput of brain data. Therefore, in order to gain more insight into brain dynamics while keeping device small, it is crucial to increase number of accessing channels and to improve the overall device efficiency.Enabling better platform technologies that would greatly impact the field of neuroscience and enhance the quality of life of patients with neurological disorders is a difficult task. This work seeks to address some of the design challenges related to a variety of biomedical applications, while providing the power efficiency and flexibility needed for implantable devices.First, a new self-powered, thermo-electric harvesting architecture is proposed and demonstrated. The miniaturized system, accompanied with efficient energy processing circuits was able to achieve a cold startup with a few 10's of mV of input voltage while achieving good end-to-end efficiency. This design was further verified in real environment (in-vivo, rat) and showed a good trade-off between the form factor and extracted power.Second, we demonstrated a 'holy grail' implant-scale neuromodulation interface with high linear input range that enables concurrent sensing and stimulation. Our 64-channel interface meets the requirements of human-quality implants at an unprecedented level of electronic miniaturization as compared to prior art. It offers major new clinical perspectives: it supports different power delivery options, always-on sensing for enhanced closed-loop therapy, multi-channel arbitrary stimulation waveforms with user-friendly programming, high-resolution neural interface for more precise target localization.Finally, a new neural recording paradigm based on the fast calcium imaging is described. This technology can provide communication between the brain and the external world at the resolution of individual neurons. We propose a hardware friendly approach for analyzing 1000's of neurons in a single pipeline and in real-time, while relaxing the memory and computational requirements. This method is capable of delivering two orders of magnitude higher brain coverage as compared to the state-of-the-art electrophysiological approach, leading to a high-resolution, high-data-rate neural interface.
Author | : Subhas C. Mukhopadhyay |
Publisher | : Springer |
Total Pages | : 340 |
Release | : 2015-06-02 |
Genre | : Technology & Engineering |
ISBN | : 3319181912 |
Download Wearable Electronics Sensors Book in PDF, ePub and Kindle
This edited book contains invited papers from renowned experts working in the field of Wearable Electronics Sensors. It includes 14 chapters describing recent advancements in the area of Wearable Sensors, Wireless Sensors and Sensor Networks, Protocols, Topologies, Instrumentation architectures, Measurement techniques, Energy harvesting and scavenging, Signal processing, Design and Prototyping. The book will be useful for engineers, scientist and post-graduate students as a reference book for their research on wearable sensors, devices and technologies which is experiencing a period of rapid growth driven by new applications such as heart rate monitors, smart watches, tracking devices and smart glasses.
Author | : Akram Alomainy |
Publisher | : |
Total Pages | : 0 |
Release | : 2014 |
Genre | : Antennas (Electronics) |
ISBN | : 9780876041109 |
Download Co-operative and Energy Efficient Body Area and Wireless Sensor Networks for Healthcare Applications Book in PDF, ePub and Kindle
Author | : Guang-Zhong Yang |
Publisher | : Springer |
Total Pages | : 572 |
Release | : 2014-04-16 |
Genre | : Computers |
ISBN | : 1447163745 |
Download Body Sensor Networks Book in PDF, ePub and Kindle
The last decade has witnessed a rapid surge of interest in new sensing and monitoring devices for wellbeing and healthcare. One key development in this area is wireless, wearable and implantable in vivo monitoring and intervention. A myriad of platforms are now available from both academic institutions and commercial organisations. They permit the management of patients with both acute and chronic symptoms, including diabetes, cardiovascular diseases, treatment of epilepsy and other debilitating neurological disorders. Despite extensive developments in sensing technologies, there are significant research issues related to system integration, sensor miniaturisation, low-power sensor interface, wireless telemetry and signal processing. In the 2nd edition of this popular and authoritative reference on Body Sensor Networks (BSN), major topics related to the latest technological developments and potential clinical applications are discussed, with contents covering. Biosensor Design, Interfacing and Nanotechnology Wireless Communication and Network Topologies Communication Protocols and Standards Energy Harvesting and Power Delivery Ultra-low Power Bio-inspired Processing Multi-sensor Fusion and Context Aware Sensing Autonomic Sensing Wearable, Ingestible Sensor Integration and Exemplar Applications System Integration and Wireless Sensor Microsystems The book also provides a comprehensive review of the current wireless sensor development platforms and a step-by-step guide to developing your own BSN applications through the use of the BSN development kit.