5 research outputs found

    Validating the Comparison Framework for the Finite Dimensions Model of Concentric Ring Electrodes Using Human Electrocardiogram Data

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    [EN] While progress has been made in design optimization of concentric ring electrodes maximizing the accuracy of the surface Laplacian estimation, it was based exclusively on the negligible dimensions model of the electrode. Recent proof of concept of the new finite dimensions model that adds the radius of the central disc and the widths of concentric rings to the previously included number of rings and inter-ring distances provides an opportunity for more comprehensive design optimization. In this study, the aforementioned proof of concept was developed into a framework allowing direct comparison of any two concentric ring electrodes of the same size and with the same number of rings. The proposed framework is illustrated on constant and linearly increasing inter-ring distances tripolar concentric ring electrode configurations and validated on electrocardiograms from 20 human volunteers. In particular, ratios of truncation term coefficients between the two electrode configurations were used to demonstrate the similarity between the negligible and the finite dimension models analytically (p = 0.077). Laplacian estimates based on the two models were calculated on electrocardiogram data for emulation of linearly increasing inter-ring distances tripolar concentric ring electrode. The difference between the estimates was not statistically significant (p >> 0.05) which is consistent with the analytic result.This research was funded by the National Science Foundation (NSF) Division of Human Resource Development (HRD) Tribal Colleges and Universities Program (TCUP), grants number 1622481 and 1914787 to Oleksandr Makeyev. The authors would like to thank Rafael Rodriguez de Sanabria for his help with the human ECG data collection and Eduardo Garcia-Breijo for his help with the CRE implementation.Makeyev, O.; Musngi, M.; Moore, L.; Ye Lin, Y.; Prats-Boluda, G.; Garcia-Casado, J. 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    Feasibility of Automatic Detection of High-Frequency Oscillations in Human Tripolar Laplacian Electroencephalogram Using Exponentially Embedded Family

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    Epilepsy affects approximately 67 million people worldwide with up to 75% from developing countries. Diagnosing epilepsy using electroencephalogram (EEG) is complicated due to its poor signal-to-noise ratio, high sensitivity to various forms of artifacts, and low spatial resolution. Laplacian EEG signal via novel and noninvasive tripolar concentric ring electrodes (tEEG) is superior to EEG via conventional disc electrodes due to its unique capabilities, which allow automatic attenuation of common movement and muscle artifacts. In this work, we apply exponentially embedded family (EEF) to show feasibility of automatic detection of gamma band high-frequency oscillations (HFOs) in tEEG data from two human patients with epilepsy as a step toward the ultimate goal of using the automatically detected HFOs as auxiliary features for seizure onset detection to improve diagnostic yield of tEEG for epilepsy. Obtained preliminary results suggest the potential of the approach and feasibility of detecting HFOs in tEEG data using the EEF based detector with high accuracy. Further investigation on a larger dataset is needed for a conclusive proof

    Recent Advances in High-Frequency Oscillations and Seizure Onset Detection Using Laplacian Electroencephalography via Tripolar Concentric Ring Electrodes

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    Laplacian electroencephalogram signal from novel and noninvasive tripolar concentric ring electrodes has been demonstrated to have superior performance compared to the electroencephalogram from conventional disc electrodes due to its unique capabilities which allow automatic attenuation of common movement and muscle artifacts in applications including brain-computer interface, seizure onset detection, and detection of high-frequency oscillations and seizure onset zones. This review paper covers the recent advances in the fields of high-frequency oscillations and seizure onset detection based on tripolar Laplacian electroencephalography in animal models and human data to improve the diagnostic yield of electroencephalography for epilepsy. Progression of methodologies utilized including integration of multiple sensors using exponentially embedded families and results obtained including a comparison to the results of others as well as to the performance of the same detector on simultaneously recorded electroencephalogram via conventional disc electrodes is discussed in detail. Specific advantages of using this particular sensor for these particular applications are highlighted. Promising directions for the future work and an overview of currently ongoing research are discussed along with the potential of combining the two detectors and using automatically detected high-frequency oscillations that have been shown to be indicative of early seizure development as auxiliary features for the seizure onset detection

    Home monitoring system via short messaging service (SMS)

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    The Home Monitoring System via SMS was developed with the aim of developing a prototype that can control multiple inputs through the Short Message Service provided by GSM networks. A z8 Encore! 1 microcontroller was used to interface with a Nokia 63102 via its UART feature and also handles signals received from various sensors and controls relays and motors installed throughout a small-scale house that was designed specifically for the study to simulate everyday conditions. C-based software was written to handle AT commands used to communicate and control the Nokia 6310 and keep track of the various items monitored and controlled by the system. Through this, the system monitors and updates the user of the status of each element it oversees and is able to execute pre-defined commands received through SMS. This allows the user to open the windows, close an appliance or turn on the lights even from a remote distance using SMS. The Home monitoring system can communicate with anyone provided that the user has a GSM phone 011 hand. The system operates in two modes - when the user is present and is away - with each mode providing a different level of security

    Global system for mobile communications based home monitoring system

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    The global system for mobile communications-based home monitoring system (GSM-HMS) was developed with the aim of developing a prototype that can control multiple inputs through the Short Message Service provided by GSM networks. A 28 Encore! 1 microcontroller was used to interface with a Nokia 63102 via its UART feature. The 28 Encore! also handles signals received from various sensors and controls relays and motors installed throughout a small-scale house that was designed specifically for the study to simulate everyday conditions. C-based software was written to handle AT commands used to communicate and control the Nokia 6310 while also maintaining a database of execution sequences that the user can request and keep track of the various items monitored and controlled by the GSM-HMS. Through this, the system monitors and updates the user of the status of each element it oversees and is able to execute pre-defined commands received through SMS. This allows the user to open the windows, close an appliance or turn on the lights even from a remote distance using SMS. The GSM­HMS can communicate with anyone provided that the user has a GSM phone on hand with an optional password authentication feature that can be disabled when using the default number recognized by the system. The system operates in two modes -when the user is present and is away -with each mode providing a different level of security
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