Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 22 for “"Seizure Detection"”.
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Long-term, subdermal implantable EEG recording and seizure detection
… Many patients, however, have intermittent seizures occurring far less frequent. Patients cannot come into the hospital for weeks on end in order for a seizure to be captured on EEG-a necessary prerequisite for making a definitive diagnosis, tailoring therapy, or even establishing the true …
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IMPROVED SEGMENTATION FOR AUTOMATED SEIZURE DETECTION USING CHANNEL-DEPENDENT POSTERIORS
… of a critical event, such as an epileptic seizure, is difficult because the signals are collected by transducing extremely low voltages, and as a result, are corrupted by noise. Also, EEG signals often contain artifacts due to clinical phenomena such as patient movement. These artifacts are …
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Epileptic Seizure Detection And Prediction From Electroencephalogram Using Neuro-Fuzzy Algorithms
… approaches based on fuzzy logic in epileptic seizure detection and prediction from Electroencephalogram (EEG). The fuzzy rule-based algorithms were developed with the aim to improve quality of life of epilepsy patients by utilizing intelligent methods. An adaptive fuzzy logic system was …
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An Energy-Efficient Spiking CNN Implementation for Cross-Patient Epileptic Seizure Detection
… efficient strategy for automatic cross-patient seizure detection using spatio temporal features learned from multichannel electroencephalogram (EEG) time-series data. In this approach, we utilize an algorithm that seeks to capture spectral, temporal, and spatial information in order to achieve …
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A Hidden Markov Factor Analysis Framework for Seizure Detection in Epilepsy Patients
… is the gold-standard for recording epileptic seizures and assisting in the diagnosis and treatment of patients with epilepsy. Detection of seizure from the recorded EEG is a laborious, time consuming and expensive task. In this study, we propose an automated seizure detection framework to …
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DEEP ARCHITECTURES FOR SPATIO-TEMPORAL SEQUENCE RECOGNITION WITH APPLICATIONS IN AUTOMATIC SEIZURE DETECTION
… of clinical conditions such as epilepsy, seizure, coma, encephalopathy, and brain death. Manual scanning and interpretation of EEGs is time-consuming since these recordings may last hours or days. It is also an expensive process as it requires highly trained experts. Therefore, high …
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Modular High-DR Artifact-Resilient Wearable EEG Headset with Distributed Pulse-Based Feature Extraction and Multiplier-Less Neuromorphic Boosted Seizure Detection
… a nonlinear support vector machine (NL-SVM) for seizure detection, is mainly dominated by three main components: the AFE (48%), AE-to-BE data communication (26%), and the signal processing required for seizure detection (21%). This underscores the necessity of taking a holistic approach to …
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Wireless Neural Recording and Stimulation SoCs for Monitoring and Treatment of Intractable Epilepsy
… its utility in preoperative monitoring epileptic seizures. Treatment of intractable epilepsy by responsive neurostimulation requires seizure detection capabilities. Next, a low-power VLSI processor architecture for early seizure detection is described. It the magnitude, phase and phase …
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Reliable health monitoring: a commercial off-the-shelf and a field programmable hardware approach
… for a reliable health monitoring device with a seizure detection directly embedded in it. The field programmable gate array (FPGA) platform based implementation was proposed and simulated to overcome the two disadvantages of the COTS approach – the inability to support customization of the …
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Non-linear dynamics and critical transitions in neonatal brain
Neonatal seizure detection methods have improved the quality of life for new born babies. However, most models suffer from an increased amount of false positive detections that restricts them from being used live in an Neonatal Intensive Care Unit. If the dynamical mechanisms responsible for …
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Continuous assessment of epileptic seizures with wrist-worn biosensors
… an enduring predisposition to generate epileptic seizures. The apprehension about injury, or even death, resulting from a seizure often overshadows the lives of those unable to achieve complete seizure control. Moreover, the risk of sudden death in people with epilepsy is 24 times higher compared …
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Automatic detection of epileptic seizure onset and termination using intracranial EEG
… addresses the problem of real-time epileptic seizure detection from intracranial EEG (IEEG). One difficulty in creating an approach that can be used for many patients is the heterogeneity of seizure IEEG patterns across different patients and even within a patient. In addition, simultaneously …
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Comparison of tripolar and traditional recording of the pattern-reversal visual evoked potential: signal and noise
… in recording muscle-related potentials and seizure detection. However, less has been done to study the efficacy of this promising technology for studying the visual system. Here, we investigate TCRE tEEG recording to evaluate any potential drawbacks or benefits over traditional EEG recording …
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Algorithm-circuit co-design for detecting symptomatic patterns in biological signals
… for developing an energy efficient epileptic seizure detection processor which could be used for implantable epilepsy prosthesis. Novel wavelet transform based algorithms are proposed for accurate detection of epileptic seizures. Energy efficient techniques at circuit level such as power and …
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Design of ultra low power analog-to-digital converter for ambulatory EEG recording
… is sufficient for extraction of bio-markers for seizure detection. A SAR ADC architecture is chosen for this design as it is highly energy efficient for medium to high resolution applications with low speed requirements. A differential capacitive DAC is utilized to enhance the CMRR. Concepts of …
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Application of Signal Advance Technology to Electrophysiology
… diagnosis and treatment relies on the accurate detection and processing of various physiological events and signals. While signal detection technology has improved greatly in recent years, there remain inherent delays in signal detection/ processing. These delays may have significant negative …
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Optimizing Neural Networks for Embedded Edge-Processing Platforms.
… epilepsy monitoring, suitable for real-time seizure detection on low-power health-monitoring devices. The assessment of its performance shows accuracy metrics well-aligned with the state of the art, obtainable with as low as 13.7ms inference time and 0.19mJ energy consumption per inference.
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Developing digital and analog spiking neural Networks for interacting with biological Tissues in the Case Study of temporal lobe Epilepsy
… interact with an actual rodent brain slice for seizure detection. The designs initially implemented on the DSP were transitioned to ASIC utilizing a 180nm technology. In the pre-synaptic part, a compact field potential to spike converter was engineered, capable of extracting spikes from …
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Disrupted female reproductive cyclicity and gonadotropin-releasing hormone neuron dysfunction in a mouse model of temporal lobe epilepsy
… firing rate was not correlated with the EEG seizure burden or the plasma progesterone concentration. There was also no correlation between the degree of estrous cycle disruption and the EEG seizure burden. At one month post-injection, we did not observe altered GnRH neuron firing rates or …
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