Design and Prototype of a Trimodal, Wireless, Neural Interface Device with Electrical and Electrochemical Neural Recording PDF Download
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Author: Sharon Xiangyi Chen
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
This report describes the design and prototype process of a wireless neural interface device that enables electrical and electrochemical data monitoring and closed-loop optogenetic stimulation to neural tissue through a graphical user interface (GUI). This system is designed to monitor and stimulate dopamine concentration in brain tissue. The electrical sensing front-end amplifies signals from 1Hz to 200Hz with a mid-band gain of 60dB (1000V/V). The chemical sensing front-end features an FSCV waveform generator with a 400V/s scan rate and a voltage sweep range of -0.25V to 1.36V. The optogenetic stimulation unit is a wirelessly controlled LED configurable for frequencies between 1Hz to 10Hz and an on-pulse time between 1 ms and 10 ms. The data acquisition rate for electrical and electrochemical sensing is 1kHz with 12-bit resolution. The wireless GUI connects to the neural interface device with a bidirectional wireless BLE link
Author: Sharon Xiangyi Chen
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
This report describes the design and prototype process of a wireless neural interface device that enables electrical and electrochemical data monitoring and closed-loop optogenetic stimulation to neural tissue through a graphical user interface (GUI). This system is designed to monitor and stimulate dopamine concentration in brain tissue. The electrical sensing front-end amplifies signals from 1Hz to 200Hz with a mid-band gain of 60dB (1000V/V). The chemical sensing front-end features an FSCV waveform generator with a 400V/s scan rate and a voltage sweep range of -0.25V to 1.36V. The optogenetic stimulation unit is a wirelessly controlled LED configurable for frequencies between 1Hz to 10Hz and an on-pulse time between 1 ms and 10 ms. The data acquisition rate for electrical and electrochemical sensing is 1kHz with 12-bit resolution. The wireless GUI connects to the neural interface device with a bidirectional wireless BLE link
Author: Liang Guo
Publisher: Springer Nature
ISBN: 3030418545
Category : Technology & Engineering
Languages : en
Pages : 436
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Book Description
This book provides a comprehensive reference to major neural interfacing technologies used to transmit signals between the physical world and the nervous system for repairing, restoring and even augmenting body functions. The authors discuss the classic approaches for neural interfacing, the major challenges encountered, and recent, emerging techniques to mitigate these challenges for better chronic performances. Readers will benefit from this book’s unprecedented scope and depth of coverage on the technology of neural interfaces, the most critical component in any type of neural prostheses. Provides comprehensive coverage of major neural interfacing technologies; Reviews and discusses both classic and latest, emerging topics; Includes classification of technologies to provide an easy grasp of research and trends in the field.
Author: Sohmyung Ha
Publisher: Academic Press
ISBN: 0128151161
Category : Science
Languages : en
Pages : 212
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Book Description
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: Amir Zjajo
Publisher: Springer
ISBN: 3319315412
Category : Technology & Engineering
Languages : en
Pages : 176
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Book Description
This book provides a complete overview of significant design challenges in respect to circuit miniaturization and power reduction of the neural recording system, along with circuit topologies, architecture trends, and (post-silicon) circuit optimization algorithms. The introduced novel circuits for signal conditioning, quantization, and classification, as well as system configurations focus on optimized power-per-area performance, from the spatial resolution (i.e. number of channels), feasible wireless data bandwidth and information quality to the delivered power of implantable system.
Author: Gürkan Yilmaz
Publisher: Springer
ISBN: 331949337X
Category : Technology & Engineering
Languages : en
Pages : 119
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Book Description
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: Kerim Türe
Publisher: Springer Nature
ISBN: 3030408264
Category : Technology & Engineering
Languages : en
Pages : 119
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Book Description
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: Xilin Liu
Publisher: Springer
ISBN: 3319679406
Category : Technology & Engineering
Languages : en
Pages : 268
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Book Description
This book provides an introduction to the emerging area of “Brain-Machine Interfaces,” with emphasis on the operation and practical design aspects. The book will help both electrical & bioengineers as well as neuroscience investigators to learn about the next generation brain-machine interfaces. The comprehensive review and design analysis will be very helpful for researchers who are new to this area or interested in the study of the brain. The in-depth discussion of practical design issues especially in animal experiments will also be valuable for experienced researchers.
Author: Woradorn Wattanapanitch
Publisher:
ISBN:
Category :
Languages : en
Pages : 187
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Book Description
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: Daniel Yeager
Publisher:
ISBN:
Category :
Languages : en
Pages : 92
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Book Description
Neural interfaces promise to radically change medicine. Currently, amputees and persons suffering from debilitating brain disorders lack a way to regain mobility and freedom. By recording and interpreting signals from the motor control regions of the brain, researchers have already demonstrated rudimentary control of robotic prosthetic arms in primate and human trials. Now, the next generation of neural interface electronics must provide the required advances in size and power consumption to enable long-term viability of complex, high degree-of-freedom prosthetic devices. This dissertation presents two complete neural interface systems to address two key challenges: evading the brain's foreign body response to achieve long probe longevity, and scaling wireless, implantable systems to high channel counts. The first, a self-contained, 0.125 mm2, 4-channel wireless recording system, achieves an unprecedented level of miniaturization. This opens the possibility of free-floating neural nodes in the brain tissue, which eliminates strain caused by transcranial wires. Ultimately, this may lead to probes that out- smart the brain's biological response, and provide stable, long-term recordings for chronic brain-machine interfaces. The second system achieves an unprecedented level of integration, combining 64 recording channels, 16 stimulation channels, and neural data compression onto a single 4.78 mm2 IC. Furthermore, the IC achieves substantial improvements in power and area versus state-of-the-art. These improvements in performance and functionality enable neural recording systems that scale up to thousands of channels, or scale down to extremely compact, low weight, low area, wireless interfaces.
Author: Xiaoxiang Zheng
Publisher: Springer Nature
ISBN: 9811320500
Category : Medical
Languages : en
Pages : 250
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Book Description
This book focuses on the frontiers of neural interface technology, including hardware, software, neural decoding and encoding, control systems, and system integration. It also discusses applications for neuroprosthetics, neural diseases and neurorobotics, and the toolkits for basic neuroscience. A neural interface establishes a direct communication channel with the central or peripheral nervous system (CNS or PNS), and enables the nervous system to interact directly with the external devices. Recent advances in neuroscience and engineering are speeding up neural interface technology, paving the way for assisting, augmenting, repairing or restoring sensorimotor and other cognitive functions impaired due to neurological disease or trauma, and so improving the quality of life of those affected. Neural interfaces are now being explored in applications as diverse as rehabilitation, accessibility, gaming, education, recreation, robotics and human enhancement. Neural interfaces also represent a powerful tool to address fundamental questions in neuroscience. Recent decades have witnessed tremendous advances in the field, with a huge impact not only in the development of neuroprosthetics, but also in our basic understanding of brain function. Neural interface technology can be seen as a bridge across the traditional engineering and basic neuroscience. This book provides researchers, graduate and upper undergraduate students from a wide range of disciplines with a cutting-edge and comprehensive summary of neural interface engineering research.
