Epilepsy

A deep convolutional neural network method to detect seizures and characteristic frequencies using epileptic electroencephalogram (EEG) data
Author(s)3: Md. Rashed-Al-Mahfuz, Mohammad Ali Moni, Shahadat Uddin, Salem A. Alyami, Mattew A. Summers, Valsamma Eapen
A deep convolutional neural network method to detect seizures and characteristic frequencies using epileptic electroencephalogram (EEG) data 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Background: Diagnosing epileptic seizures using electroencephalogram (EEG) in combination with deep learning computational methods has received much attention in recent years. However, to date, deep learning techniques in seizure detection…

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Classification of Scalp EEG States Prior to Clinical Seizure Onset

Classification of Scalp EEG States Prior to Clinical Seizure Onset
Author(s)3: Daniel Jacobs, Yuhan H. Liu, Trevor Hilton, Martin del Campo, Peter L. Carlen
Classification of Scalp EEG States Prior to Clinical Seizure Onset 780 435 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

     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…

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Integrating Brain Implants with Local and Distributed Computing Devices: A Next Generation Epilepsy Management System
Author(s)3: Vaclav Kremen, Benjamin H. Brinkmann, Inyong Kim, Hari Guragain, Mona Nasseri, Abigail L. Magee, Tal Pal Attia, Peter Nejedly, Vladimir Sladky, Nathanial Nelson, SuYoune Chang, Jeffrey A. Herron, Tom Adamski, Steven Baldassano, Jan Cimbalnik, Vince Vasoli, Elizabeth Fehrmann, Tom Chouinard, Edward E. Patterson, Brian Litt, Matt Stead, Jamie Van Gompel, Beverly K. Sturges, Chelsea M. Crowe, Timothy Denison, Gregory A. Worrell
Integrating Brain Implants with Local and Distributed Computing Devices: A Next Generation Epilepsy Management System 375 500 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

                          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…

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Low-Power and Low-Cost Dedicated Bit-Serial Hardware Neural Network for Epileptic Seizure Prediction System

Low-Power and Low-Cost Dedicated Bit-Serial Hardware Neural Network for Epileptic Seizure Prediction System
Author(s)3: Si Mon Kueh, Tom J. Kazmierski
Low-Power and Low-Cost Dedicated Bit-Serial Hardware Neural Network for Epileptic Seizure Prediction System 780 547 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

  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…

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An Ultra Low Power Smart Headband for Real-time Epileptic Seizure Detection

An Ultra Low Power Smart Headband for Real-time Epileptic Seizure Detection
Author(s)3: Shih-Kai Lin, Istiqomah, Li-Chun Wang, Chin-Yew Lin, Herming Chiueh
An Ultra Low Power Smart Headband for Real-time Epileptic Seizure Detection 780 494 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

     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,…

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Detection of Paroxysms in Long-Term, Single Channel EEG-Monitoring of Patients with Typical Absence Seizures

Detection of Paroxysms in Long-Term, Single Channel EEG-Monitoring of Patients with Typical Absence Seizures
Author(s)3: Troels W. Kjaer, Helge B. D. Sorensen, Sabine Groenborg, Charlotte R. Pedersen, Jonas Dunn-Henriksen
Detection of Paroxysms in Long-Term, Single Channel EEG-Monitoring of Patients with Typical Absence Seizures 780 349 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

  Absence seizures are associated with generalized 2.5-5 Hz spike-wave discharges in the electroencephalogram (EEG). Rarely are patients, parents, or physicians aware of the duration or incidence of seizures. Six…

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Panel B shows 12 minutes of bipolar EEG from Fp2-F4 (1-70 Hz, 200 S/s). Panel A is the corresponding spectrogram. Panel E shows 30 seconds of EEG from Panel B at the onset of the generalized seizure (dashed line). Panels C, D, and F are the corresponding tEEG signals from Fp2’ (1-100 Hz, 200 S/s). Note the high gamma-band burst HFOs just prior to the partial seizure (highlighted by ellipse in panel C).

High-Frequency Oscillations Recorded on the Scalp of Patients with Epilepsy Using Tripolar Concentric Ring Electrodes
High-Frequency Oscillations Recorded on the Scalp of Patients with Epilepsy Using Tripolar Concentric Ring Electrodes 540 508 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Panel B shows 12 minutes of bipolar EEG from Fp2-F4 (1-70 Hz, 200 S/s). Panel A is the corresponding spectrogram. Panel E shows 30 seconds of EEGfrom Panel B at…

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