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An Introduction To The Event Related Potential Technique

This chapter introduces the finite element method (FEM) as a tool for solution of classical electromagnetic problems. Although we discuss the main points in the application of the finite element method to electromagnetic design, including formulation and implementation, those who seek deeper understanding of the finite element method should consult some of the works listed in the bibliography section.

Introduction to the Finite Element Method

Computational and Mathematical Methods in Medicine

Wearable sensors have recently seen a large increase in both research and commercialization. However, success in wearable sensors has been a mix of both progress and setbacks. Most of commercial progress has been in smart adaptation of existing mechanical, electrical and optical methods of measuring the body. This adaptation has involved innovations in how to miniaturize sensing technologies, how to make them conformal and flexible, and in the development of companion software that increases the value of the measured data. However, chemical sensing modalities have experienced greater challenges in commercial adoption, especially for non-invasive chemical sensors. There have also been significant challenges in making significant fundamental improvements to existing mechanical, electrical, and optical sensing modalities, especially in improving their specificity of detection. Many of these challenges can be understood by appreciating the body's surface (skin) as more of an information barrier than as an information source. With a deeper understanding of the fundamental challenges faced for wearable sensors and of the state-of-the-art for wearable sensor technology, the roadmap becomes clearer for creating the next generation of innovations and breakthroughs.

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Wearable sensors: modalities, challenges, and prospects

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The Essential Physics Of Medical Imaging

A LabVIEW based data acquisition system (LV-DAS) is developed for Electrical Impedance Tomography (EIT) for automatic current injection and boundary data collection. The developed LV-DAS consists of a NIUSB-6251 DAQ card, NISCB-68 connector module and an automatic electrode switching module (A-ESM). A LabVIEW based graphical user interface (LV-GUI) is develop to control the current injection and data acquisition by LV-DAS through A-ESM. Boundary data are collected for a number of practical phantoms and the boundary data profiles are studied to assess the LV-DAS. Results show that the high resolution NIDAQ card of the DAS improves its data acquisition performance with accurate measurement and high signal to noise ratio (SNR).

A LabVIEW Based Data Acquisition System for Electrical Impedance Tomography (EIT)

A broad spectrum of brain disorders—from epilepsy to depression – are characterized by abnormal electrical conduction. Often, electroencephalography (EEG) is incapable of recording the complex dynamics behind these disorders due to poor spatial resolution. We are proposing transcranial acoustoelectric brain imaging (tABI) to overcome these limitations. tABI may be able to accurately resolve deep neuronal currents with high spatial resolution ( 50 mm below the phantom surface with an axial resolution of ~3mm at 0.6 MHz. Current detection limits through the skull at biologically safe US intensities were <500μA--within range of the strongest induced neuronal currents in the human brain. Noninvasive detection of weak neural currents (<0.1mA/cm2) like those simulated with the phantom in this study would open the possibility to 4D tABI as a revolutionary modality for accurate, high resolution mapping of electrical signals in the human brain.

4D Transcranial Acoustoelectric Imaging of Current Densities in a Human Head Phantom

Electrical Impedance Spectroscopy (EIS) based fruit characterization : A technical review

The purpose of this study is to test the feasibility of using acoustoelectric brain imaging (ABI) to map physiological activity in the rat hippocampus using depth and surface recording electrodes on a new mobile system. A new method in imaging brain activity using the acoustoelectric (AE) allows for the combination of high temporal and spatial resolution imaging beyond existing techniques. AE imaging takes advantage of mechanoelectrical properties of ultrasound (US) pressure waves which modulate the tissue's electrical resistivity. Using surface and depth electrodes we record these modulated signals to electrically map local brain activity. In recent experiments we have been able to image evoked responses in the hippocampus of an anesthetized rat showing high temporal correlations between low frequency recordings and ABI. Further optimization of ABI can allow for better detection of evoked potentials in the brain to allow for faster real-time scanning possibilities with capabilities of miniaturizing a system for hand held imaging.

Development of a Mobile Platform for Acoustoelectric Brain Imaging in Rats

Noninvasive detection of epileptic seizures can help the patients to save themselves from sudden fall and assist the doctors to study the disease and treat the patient. Generally, an EEG based epileptic seizure detection system consists of EEG sensors, electronic instrumentation and a signal processing algorithm. In this paper, an EEG acquisition system (EAS) has been developed with a multi-stage amplifier and filter blocks. The instrumentation is studied, tested and evaluated with periodic signals generated with a function generator as well as the EEG-like signals simulated by virtual instrumentation (VI) developed with NI MyDAQ controlled by a Lab VIEW. The noise response of the instrumentation developed has been studied with SNR analysis. Results, obtained from the circuit simulation and experimentation conducted with EEG-like waveforms, show that the developed EAS is suitable to process the EEG signals and suitable for epileptic seizures detection systems.

https://google.iopscience.iop.org/article/10.1088/1742-6596/1495/1/012038/pdf

Tushar Kanti Bera

Papers

A LabVIEW Based Data Acquisition System for Electrical Impedance Tomography (EIT)

4D Transcranial Acoustoelectric Imaging of Current Densities in a Human Head Phantom

Electrical Impedance Spectroscopy (EIS) based fruit characterization : A technical review

Development of a Mobile Platform for Acoustoelectric Brain Imaging in Rats

A Low-Cost Electroencephalography (EEG) Instrumentation for Epileptic Seizure Detection