Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Seizures: Classification

Seizures: Classification

Epilepsy is primarily characterized by unpredictable seizures, either provoked by an identifiable factor, such as injury or illness, or unprovoked, occurring spontaneously without apparent cause.
Seizures are typically classified into two main categories: focal and generalized seizures.
Focal Seizures
Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types:

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Promoting Gas Sensitivity of Graphitic Carbon Nitride via Incorporation of Platinum Nanoparticles under Blue-Light Irradiation.

ACS sensors·2026

Same author

Outcomes of endovascular thrombectomy for acute ischemic stroke with concurrent intracranial hemorrhage: multicenter registry study.

Journal of neurointerventional surgery·2026

Same author

Accuracy of Distal Internal Carotid Artery Contrast Ratio to Infer Proximal Carotid Disease in the Mobile Stroke Unit.

Stroke (Hoboken, N.J.)·2026

Same author

<i>N</i>-Methylene-C Bridged 4-Azido-3,5-dinitropyrazole and <i>N</i>-Hydroxytetrazole: Metal-Free Primary Explosive and Powerful Secondary Explosives.

Organic letters·2026

Same author

The Thrombectomy Dilemma in Stroke Patients With Active Cancer: To Treat or Not to Treat?

Journal of stroke·2026

Same author

Inflammation-driven carcinogenesis in oral cancer: A systematic review of cellular mechanisms and clinical perspectives.

The Indian journal of medical research·2026

Search research articles

Related Experiment Video

Updated: Aug 29, 2025

Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems

Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems

Published on: September 27, 2024

Detection of Epileptic Seizure Using Accelerometer Time Series Data and Hidden Markov Model.

Anshuman Agrahri, Alok Tyagi, Dheeraj Kumar

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|September 10, 2022

Summary

A new wireless system using wrist-worn accelerometers can detect epileptic seizures with 95.7% accuracy. This affordable technology offers a simpler method for remote monitoring, reducing reliance on expensive hospital-based equipment.

More Related Videos

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Published on: December 6, 2016

Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury

Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury

Published on: June 21, 2019

Related Experiment Videos

Last Updated: Aug 29, 2025

Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems

Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems

Published on: September 27, 2024

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Published on: December 6, 2016

Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury

Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury

Published on: June 21, 2019

Area of Science:

Neurology
Biomedical Engineering
Machine Learning

Background:

Epilepsy affects 70 million globally, necessitating accessible seizure detection.
Current methods like video-EEG monitoring are costly and hospital-dependent.
There is a need for simpler, affordable remote seizure detection systems.

Purpose of the Study:

To develop and evaluate a wireless remote monitoring system for epileptic seizure detection.
To apply a Hidden Markov Model (HMM) for analyzing accelerometer data.
To compare HMM performance against other machine learning models.

Main Methods:

Utilized time-series accelerometer data from a wrist-worn device.
Applied a Hidden Markov Model (HMM) to a reduced-dimension feature vector.
Compared HMM with Support Vector Machine (SVM), logistic regression, and random forest models.

Main Results:

The HMM approach achieved 95.7% seizure detection accuracy.
A low false alarm rate of 14.8% was recorded.
The system demonstrated a rapid run time of under 24 seconds.

Conclusions:

The proposed HMM-based system offers an effective and efficient solution for remote epileptic seizure detection.
This approach provides a more accessible and affordable alternative to traditional monitoring methods.
The study highlights the potential of wearable sensors and advanced algorithms in managing epilepsy.