Literature DB >> 32710587

Photoplethysmography: A measure for the function of the autonomic nervous system in focal impaired awareness seizures.

Rima El Atrache1, Eleonora Tamilia2,3, Fatemeh Mohammadpour Touserkani1,4, Sarah Hammond1, Christos Papadelis2,5,6, Kush Kapur1, Michele Jackson1, Bethany Bucciarelli1, Melissa Tsuboyama1, Rani A Sarkis7, Tobias Loddenkemper1.   

Abstract

OBJECTIVES: Photoplethysmography (PPG) reflects variations of blood perfusion in tissues, which may signify seizure-related autonomic changes. The aim of this study is to assess the variability of PPG signals and their value in detecting peri-ictal changes in patients with focal impaired awareness seizures (FIASs).
METHODS: PPG data were recorded using a wearable sensor placed on the wrist or ankle of children with epilepsy admitted for long-term video-electroencephalographic monitoring. We analyzed PPG data in four different periods: seizure-free, preictal, ictal, and postictal. Multiple features were automatically extracted from the PPG signal-frequency, duration, amplitude, increasing and decreasing slopes, smoothness, and area under the curve (AUC)-and were used to identify preictal, ictal, or postictal changes by comparing them with seizure-free periods and with each other using a linear mixed-effects model.
RESULTS: We studied PPG in 11 patients (18 FIASs), including seizure-free, preictal, and postictal periods, and a subset of eight patients (12 FIASs) including the ictal period. Compared to the seizure-free period, we found significant changes in PPG (1) during the ictal period across all features; (2) during the preictal period in amplitude, duration, increasing slope, and AUC; and (3) during the postictal period in decreasing slope. SIGNIFICANCE: Specific PPG changes can be seen before, during, and after FIASs. The peri-ictal changes in the PPG features of patients with FIASs suggest potential applications of PPG monitoring for seizure detection.
© 2020 International League Against Epilepsy.

Entities:  

Keywords:  autonomic nervous system; detection; epilepsy; focal impaired awareness seizure; photoplethysmography

Year:  2020        PMID: 32710587     DOI: 10.1111/epi.16621

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   5.864


  3 in total

Review 1.  Autonomic manifestations of epilepsy: emerging pathways to sudden death?

Authors:  Roland D Thijs; Philippe Ryvlin; Rainer Surges
Journal:  Nat Rev Neurol       Date:  2021-10-29       Impact factor: 42.937

2.  Accurate detection of heart rate using in-ear photoplethysmography in a clinical setting.

Authors:  Tim Adams; Sophie Wagner; Melanie Baldinger; Incinur Zellhuber; Michael Weber; Daniel Nass; Rainer Surges
Journal:  Front Digit Health       Date:  2022-08-17

3.  Seizure detection using wearable sensors and machine learning: Setting a benchmark.

Authors:  Jianbin Tang; Rima El Atrache; Shuang Yu; Umar Asif; Michele Jackson; Subhrajit Roy; Mahtab Mirmomeni; Sarah Cantley; Theodore Sheehan; Sarah Schubach; Claire Ufongene; Solveig Vieluf; Christian Meisel; Stefan Harrer; Tobias Loddenkemper
Journal:  Epilepsia       Date:  2021-07-15       Impact factor: 5.864

  3 in total

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