Evidence map›Paper›PMID 41926031›Full record

ArticleAnnals of biomedical engineering2026

Three-Phase Seizure Segmentation in Stereotactic EEG Using Envelope-Based Multivariate Changepoint Analysis.

Himanshu Kumar, N P Guhan Seshadri, David Martinez, Imad Najm, Andreas Alexopoulos, Juan C Bulacio, Demitre Serletis, Balu Krishnan

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Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Himanshu KumarEpilepsy Center, Neurological Institute, Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH, 44195, USA.
N P Guhan SeshadriEpilepsy Center, Neurological Institute, Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH, 44195, USA.
David MartinezEpilepsy Center, Neurological Institute, Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH, 44195, USA.
Imad NajmEpilepsy Center, Neurological Institute, Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH, 44195, USA.
Andreas AlexopoulosEpilepsy Center, Neurological Institute, Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH, 44195, USA.
Juan C BulacioEpilepsy Center, Neurological Institute, Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH, 44195, USA.
Demitre SerletisEpilepsy Center, Neurological Institute, Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH, 44195, USA.
Balu KrishnanEpilepsy Center, Neurological Institute, Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH, 44195, USA. krishnb@ccf.org.ORCID http://orcid.org/0000-0002-1897-3359

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAccurate segmentation of seizure phases in intracranial EEG is essential for characterizing seizure dynamics and supporting presurgical evaluation in drug-resistant focal epilepsy. This study examines whether a semi-supervised changepoint detection framework can reliably delineate ictal onset, intra-ictal transition, and seizure termination.

methodsA three-phase segmentation pipeline integrates multivariate envelope-based features, including root mean square amplitude, relative bandpower in the theta (4-8 Hz), alpha (8-13 Hz), beta (13-30 Hz), and gamma (30-80 Hz) bands, line length, and spectral entropy, with the Pruned Exact Linear Time algorithm. Features were extracted from sliding windows whose lengths and phase-specific weights were optimized using nested leave-one-subject-out cross-validation with Optuna. To ensure length invariance, analysis windows were randomly extended by 5-30 s before seizure onset and after seizure termination using real pre- and post-ictal data. Performance was evaluated on 179 seizure-onset-zone bipolar channels across 32 seizures from 10 patients.

resultsMean absolute errors were

conclusionThe proposed framework achieves temporal precision comparable to reported inter-rater reliability (Cohen's

Indexed as

Changepoint detectionEpilepsyMultivariate time seriesStereotactic EEG (SEEG)

Identifiers

PMID41926031

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.