A two-stage algorithm to detect electrographically focal seizures using a wearable single-channel EEG sensor

Shini Renjith; K. Gopalakrishnan; Tobias Loddenkemper; Daniel Friedman; Mark C. Spitz; Mitchell A. Frankel; Mark J. Lehmkuhle; V John Mathews

doi:10.1109/tbme.2026.3660806

January 1, 2026IEEE Transactions on Biomedical Engineering

A two-stage algorithm to detect electrographically focal seizures using a wearable single-channel EEG sensor

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Key Points

To explore the effectiveness of a two-stage algorithm for detecting focal seizures using a single-channel EEG sensor.
Developed a two-stage seizure detection algorithm
Utilized a single-channel wearable EEG sensor
Conducted evaluations based on electrographic seizure data
The algorithm shows promise in accurately detecting focal seizures
Suggests potential for improving monitoring systems for epileptologists
Indicates feasibility for long-duration monitoring during daily activities

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Implication

This method demonstrates enhanced seizure detection in epilepsy, indicating potential for daily life monitoring.

Abstract

The performance of the two-stage method for single-channel seizure detection suggests its potential to enhance support systems used by epileptologists for post-hoc reviews. This system may represent the beginning of the roadmap for long-duration seizure monitoring using wearable single-channel EEG sensors during activities of daily life.

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Renjith et al. (2026) studied this question.

synapsesocial.com/papers/698584f98f7c464f230082e9 https://doi.org/10.1109/tbme.2026.3660806

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A two-stage algorithm to detect electrographically focal seizures using a wearable single-channel EEG sensor

Key Points

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Implication

Abstract

Discussion

Cite This Study

A two-stage algorithm to detect electrographically focal seizures using a wearable single-channel EEG sensor

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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