A Real Time Data Acquisition And Digital Signal Processing System For Neuromonitoring
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| Author | : Nirjhar Bhattacharjee |
| Publisher | : |
| Total Pages | : 68 |
| Release | : 2015 |
| Genre | : |
| ISBN | : |
This work reports a versatile real-time data acquisition, signal processing and sensor calibrationsystem using NI (National Instruments) LabVIEW. The goal of the developed system is tosimultaneously monitor different physiological parameters in an animal's brain during traumaticbrain injury (TBI). The system is developed in conjunction with the smart catheter sensor array whichis an integrated platform of multiple microsensors in a single microcatheter device. The sensorssimultaneously records key physiological parameters from an animal brain which includestemperature, partial pressure of Oxygen, Glucose, Lactate, Cerebral Blood Flow (CBF) and neuralactivity. The system after data acquisition and processing displays the real-time data in a userinterface in a clear and concise way. A sensor calibration software is also developed using LabVIEWwhich provides calibration solution for the Smart Catheter sensors. The developed system consists of a front end motherboard circuit interface which encodesthe real-time analog signal to serial bits and transmits it to a backend system for data-logging andsignal processing. The back-end system consists of a NI cRIO (Compact RIO) hardware with serialI/O ports. The cRIO system consists of an inbuilt FPGA (Field Programmable Gate Array) chip anda Real-Time (RT) controller which are used for data processing and transmission to a Laptopcomputer with user interface. The program development was done using LabVIEW to create a highfidelity and fast response system. The developed system was tested with simulated signals to validatethe system for long term monitoring application. Finally the Smart Catheter sensors were calibratedwith the calibration function and in-vivo recording was done from a rat's brain. The results of the experiments have been reported in this thesis.
| Author | : Dipali Bansal |
| Publisher | : Academic Press |
| Total Pages | : 208 |
| Release | : 2021-06-15 |
| Genre | : Science |
| ISBN | : 0128221569 |
Real-Time Data Acquisition in Human Physiology: Real-Time Acquisition, Processing, and Interpretation—A MATLAB-Based Approach focuses on the design and development of a computer-based system to detect and digitally process human ECG, EMG, and carotid pulse waveforms in real time. The indigenous system developed and described in this book allows for an easy-to-interface, simple hardware arrangement for bio-signal detection. The computational functionality of MATLAB is verified for viewing, digital filtration, and feature extraction of acquired bio-signals. This book demonstrates a method of providing a relatively cost-effective solution to human physiology real-time monitoring, processing, and interpretation that is more realizable and would directly benefit a larger population of patients. Presents an application-driven, interdisciplinary, and experimental approach to bio-signal processing with a focus on acquiring, processing, and understanding human ECG, EMG, carotid pulse data and HRV. Covers instrumentation and digital signal processing techniques useful for detecting and interpreting human physiology in real time, including experimental layout and methodology in an easy-to-understand manner. Discusses development of a computer-based system that is capable of direct interface through the sound port of a PC and does not require proprietary DAQ units and ADC units. Covers a MATLAB-based algorithm for online noise reduction, features extraction techniques, and infers diagnostic features in real time. Provides proof of concept of a PC-based twin channel acquisition system for the recognition of multiple physiological parameters. Establishes the use of Digital Signal Controller to enhance features of acquired human physiology. Presents the use of carotid pulse waveforms for HRV analysis in critical situations using a very simple hardware/software arrangement.
| Author | : Vladimír Haasz |
| Publisher | : River Publishers |
| Total Pages | : 304 |
| Release | : 2014-05-15 |
| Genre | : Computers |
| ISBN | : 8793102739 |
DAQ and data processing is a basic part of all automated production systems, diagnostic systems, watching over quality of production, energy distribution, transport control or in various other areas. Demands on the speed, accuracy and reliability increase in general. It is possible to achieve not only using superior (but also more expensive) hardware, but also applying advanced data acquisition and intelligent data processing. It deals e.g. optimal data fusion of a number of sensors, new stochastic methods for accuracy increasing, new algorithms for acceleration of data processing, etc. These are the grounds for publishing this book. Advanced Data Acquisition and Intelligent Data Processing offers 10 up-to-date examples of different applications of advanced data acquisition and intelligent data processing used in monitoring, measuring and diagnostics systems. The book arose based on the most interesting papers from this area published at IDAACS?2013 conference. However, the indivudual chapters include not only designed solution in wider context but also relevant theoretical parts, achieved results and possible future ways. Technical topics discussed in this book include: advanced methods of data acquisition in application that are not routine; measured data fusion using up-to-date advanced data processing; nonlinear dynamical systems identification; multidimensional image processing. Advanced Data Acquisition and Intelligent Data Processing is ideal for personnel of firms deals with advanced instrumentation, energy consumption monitoring, environment monitoring, non-descructive diagnostics robotics, etc., as well as academic staff and postgraduate students in electrical, control and computer engineering.
| Author | : Hoi-kwong Ling |
| Publisher | : |
| Total Pages | : 184 |
| Release | : 1989 |
| Genre | : Cardiac output |
| ISBN | : |
| Author | : |
| Publisher | : |
| Total Pages | : 123 |
| Release | : 2006 |
| Genre | : |
| ISBN | : |
This thesis develops a data acquisition system and long piezoelectric sensors for a technique of structural health monitoring based on a structural neural system and continuous sensors. The structural neural system uses distributed sensing and parallel signal processing in real time to monitor large structures like an aircraft for damage. The structural neural system consists of piezoceramic nerves and electronic logic circuits and was tested on an aluminum plate that was fatigue loaded using a mechanical testing machine. The testing indicated that the SNS analog processor using conventional monolithic piezoceramic sensors was able to detect the acoustic emissions using continuous fiber sensors. The acoustic emission level in aluminum was small but detectable. A higher sensitivity of the neural system was needed. Therefore, further sensor development was undertaken including fabricating piezoelectric active fiber continuous sensors. The testing in this thesis indicates that the continuous sensor can becloser to the damage site, and is more sensitive than conventional discrete sensors. In thisthesis a data acquisition system was developed using LabVIEW and single fiber continuous sensors were developed for the structural neural system. The testing indicates that the structural neural system will be able to continuously monitor a structure and provide a long-term history of the health of the structure.
| Author | : Wim van Drongelen |
| Publisher | : |
| Total Pages | : 308 |
| Release | : 2007 |
| Genre | : Medical |
| ISBN | : 9780123708670 |
Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the 'golden trio' in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging from data acquisition to data processing; and from the mathematical background of the analysis to the practical application of processing algorithms. Overall, the approach to the mathematics is informal with a focus on basic understanding of the methods and their interrelationships rather than detailed proofs or derivations. One of the principle goals is to provide the reader with the background required to understand the principles of commercially available analyses software, and to allow him/her to construct his/her own analysis tools in an environment such as MATLAB®. * Multiple color illustrations are integrated in the text * Includes an introduction to biomedical signals, noise characteristics, and recording techniques * Basics and background for more advanced topics can be found in extensive notes and appendices * A Companion Website hosts the MATLAB scripts and several data files: http://www.elsevierdirect.com/companion.jsp?ISBN=9780123708670
| Author | : Rolf Weitkunat |
| Publisher | : Elsevier Publishing Company |
| Total Pages | : 632 |
| Release | : 1991 |
| Genre | : Medical |
| ISBN | : |
Hardbound. Digital Signal Processing (DSP) is the fundamental tool of biomedical data analysis, just as a telescope is in astronomy. Assuming data has been correctly gathered according to a well-designed protocol, the effectiveness of the application of DSP techniques determines the success of a study. Unfortunately, since DSP is a relatively new branch of electrical engineering and applied mathematics, and is not usually included in the curricula of psychological, biological or medical science educational programs, the vast majority of biomedical researchers are inadequately prepared in DSP, and are thus at a severe disadvantage in conducting their research.The problem is not easily rectified since DSP is a technically complex area to study, which, at the least, requires prerequisite knowledge of linear algebra, calculus and the physics of electricity. But without at least a working knowledge of common DSP procedures, researchers are reduced to rote
| Author | : Thomas Heldt |
| Publisher | : Springer |
| Total Pages | : 310 |
| Release | : 2018-02-28 |
| Genre | : Medical |
| ISBN | : 3319657984 |
This book introduces the latest advances relating to the pathophysiology, biophysics, monitoring and treatment of traumatic brain injury, hydrocephalus, and stroke presented at the 16th International Conference on Intracranial Pressure and Neuromonitoring (the "ICP Conference"), held in Cambridge, Massachusetts, in June 2016 in conjunction with the 6th Annual Meeting of the Cerebral Autoregulation Research Network. Additionally, the conference held special sessions on neurocritical care informatics and cerebrovascular autoregulation. The peer-reviewed papers included were written by leading experts in neurosurgery, neurointensive care, anesthesiology, physiology, clinical engineering, clinical informatics and mathematics who have made important contributions in this translational area of research, and their focus ranges from the latest research findings and developments to clinical trials and experimental studies. The book continues the proud tradition of publishing key work from the ICP Conferences and is a must-read for anyone wishing to stay abreast of recent advances in the field.
| Author | : René Harder |
| Publisher | : |
| Total Pages | : 290 |
| Release | : 2015 |
| Genre | : Electronic dissertations |
| ISBN | : |
| Author | : Mario Zuccarello |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 325 |
| Release | : 2012-08-14 |
| Genre | : Medical |
| ISBN | : 3709111927 |
The book contains 48 articles presented at the 11th International Conference on Cerebral Vasospasm held in Cincinnati, Ohio, USA, in July 2011. This collection of papers represents a cross-section of the enormous progress that has been made towards a thorough understanding and effective treatment of neurovascular events following aneurysmal subarachnoid hemorrhage, including cerebral vasospasm. It is of interest to clinicians who wish to apply state-of-the-art knowledge to their management of this devastating condition and to basic scientists wishing to expand their understanding of cerebrovascular and neural pathophysiology related to subarachnoid hemorrhage.
