IEEE Open Journal of Engineering in Medicine and Biology

Articles
Directed Connectivity Analysis of the Neuro-Cardio- and Respiratory Systems Reveals Novel Biomarkers of Susceptibility to SUDEP
The paper describes the results from a unique experimental and analytical study in a well-controlled animal model of Sudden Unexpected Death in Epilepsy (SUDEP). As the name implies, SUDEP is difficult to impossible to study in humans due to the... Read more
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Classification of Scalp EEG States Prior to Clinical Seizure Onset
     Objective: To investigate the feasibility of improving the performance of an EEG-based multistate classifier (MSC) previously proposed by our group. Results: Using the random forest (RF) classifiers on the previously reported dataset of patients, but with three improvements to classification... Read more
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Epilepsy-on-a-chip System for Antiepileptic Drug Discovery
    Development of antiepileptic drugs is currently complicated by the long time course of epileptogenesis. This process occurs on a time scale of weeks to months in animal models, and takes up to two weeks in an in vitro organotypic hippocampal... Read more
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A Magnetoencephalography Study of Pediatric Interictal Neuromagnetic Activity Changes and Brain Network Alterations Caused by Epilepsy in the High Frequency (80–1000 Hz)
More and more studies propose that high frequency brain signals are promising biomarkers of epileptogenic zone. In this paper, our aim is to investigate the neuromagnetic changes and brain network topological alterations during an interictal period at high frequency ranges... Read more
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Integrating Brain Implants with Local and Distributed Computing Devices: A Next Generation Epilepsy Management System
                          Brain stimulation has emerged as an effective treatment for a wide range of neurological and psychiatric diseases. Parkinson’s disease, epilepsy, and essential tremor have FDA indications for electrical brain stimulation using intracranially implanted electrodes. Interfacing implantable brain devices with local... Read more
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Low-Power and Low-Cost Dedicated Bit-Serial Hardware Neural Network for Epileptic Seizure Prediction System
  This paper presents results of using a simple bit-serial architecture as a method of designing an extremely low-power and low-cost neural network processor for epilepsy seizure prediction. The proposed concept is based on a novel bit-serial data processing unit (DPU)... Read more
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An Ultra Low Power Smart Headband for Real-time Epileptic Seizure Detection
     Abstract In this paper, the design of a smart headband for epileptic seizure detection is presented. The proposed headband consists of four key components: 1) an analog front-end circuitry, 2) an epileptic seizure detection tag (ESDT), 3) a Bluetooth Low Power... Read more
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Estimating Brain Connectivity with Varying-Length Time Lags Using a Recurrent Neural Network
Computer-aided estimation of brain connectivity aims to reveal information propagation in brain automatically, which has great potential in clinical applications, e.g. epilepsy foci diagnosis. Granger causality is an effective tool for directional connection analysis in multivariate time series. However, most... Read more
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A Functional-genetic Scheme for Seizure Forecasting in Canine Epilepsy
Epilepsy is a chronic condition characterized by recurrent, spontaneous, and unpredictable seizures resulting from the abnormal and excessive synchronization of groups of neurons. While first line of treatment consists of anti-epileptic medication, about a third of patients are refractory. Epilepsy... Read more
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SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal
This paper describes a data-analytic modeling approach for the prediction of epileptic seizures from intracranial electroencephalogram (iEEG) recording of brain activity. Even though it is widely accepted that statistical characteristics of iEEG signal change prior to seizures, robust seizure prediction... Read more