Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: May 25, 2026

A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'
10:31

A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'

Published on: February 10, 2017

A novel unsupervised spike sorting algorithm for intracranial EEG.

R Yadav1, A K Shah, J A Loeb

  • 1Center for Signal Processing and Communications, Department of Electrical and Computer Engineering, Concordia University, 1455 de Maisonneuve Blvd West, Montreal, QC H3G 1M8, Canada. r_yadav@encs.concordia.ca

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

A Functional Shape Framework for the Detection of Multiple Sclerosis Using Optical Coherence Tomography Images.

Sensors (Basel, Switzerland)·2026
Same author

En Bloc Versus Conventional Resection of Primary Bladder Tumor.

Kathmandu University medical journal (KUMJ)·2026
Same author

A Multi-Level Self-Distillation-Based Unified Tracker for Efficient RGB-T Tracking.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Resource-Efficient and Layer Interdependence-Aware CNN Pruning Leveraging Filter Replacement.

IEEE transactions on neural networks and learning systems·2026
Same author

ECG-EmotionNet: Nested Mixture of Expert (NMoE) Adaptation of ECG-Foundation Model for Driver Emotion Recognition.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Attention-Fusion-Based Two-Stream Vision Transformer for Heart Sound Classification.

Bioengineering (Basel, Switzerland)·2025
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
See all related articles

This study introduces an unsupervised algorithm for classifying intracranial EEG spikes, improving analysis for epilepsy research and treatment. The method effectively categorizes spike waveforms without prior data, enhancing diagnostic accuracy.

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Signal Processing

Background:

  • Intracranial electroencephalography (iEEG) is crucial for epilepsy diagnosis and research.
  • Accurate classification of interictal spikes is essential for effective patient management.
  • Current methods often require manual analysis or a priori waveform knowledge.

Purpose of the Study:

  • To develop a novel, unsupervised algorithm for classifying interictal spikes in iEEG data.
  • To create a patient-specific codebook of spike waveforms without prior assumptions.
  • To improve the efficiency and accuracy of spike analysis in epilepsy.

Main Methods:

  • The algorithm combines template matching and principal component analysis (PCA) for unsupervised spike classification.

More Related Videos

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings
08:20

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings

Published on: June 6, 2015

Related Experiment Videos

Last Updated: May 25, 2026

A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'
10:31

A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'

Published on: February 10, 2017

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings
08:20

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings

Published on: June 6, 2015

  • Hierarchical clustering is employed to resolve misclassifications arising from overlapping spike classes.
  • A 3D projection method is used for visual assessment of cluster quality.

    • Main Results:

    • The developed algorithm generated a patient-specific codebook for spike classification.
    • The codebook successfully retained 82.1% of detected spikes in non-overlapping and disjoint clusters.
    • Visual assessment of cluster quality was performed using inter- and intra-cluster projections.

    Conclusions:

    • The unsupervised spike classification algorithm shows promise for rapid review and quantitation of interictal spikes.
    • This method could significantly enhance clinical treatment strategies for epileptic patients.
    • The approach offers a valuable tool for advancing research studies in epilepsy.