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<p>Photoplethysmography (PPG) detects hemodynamic changes during epileptic seizures. This study aim to investigate PPG signals changes during generalized tonic‒clonic seizures (GTCSs) and focal impaired awareness seizures (FIASs). 17 GTCS and 19 FIAS episodes were recorded from 18 patients. The 30&#xa0;min preictal period was divided into three 10-minute intervals. PPG features analyzed were pulse upslope (PUS), maximal compliance (Kmax), and skewness. Features across 3 preictal intervals showed significant reductions compared to the baseline: PUS (<i>F</i><sub><i>(3,64)</i></sub> <i>= 11.870</i>,<i> p &lt; 0.001</i>), Kmax (<i>F</i><sub><i>(3,64)</i></sub> <i>= 7.419</i>,<i> p &lt; 0.001</i>) and skewness (<i>F</i><sub><i>(3,64)</i></sub> <i>= 2.852</i>,<i> p = 0.044</i>) in the GTCS group. PUS (<i>Kruskal–Wallis [K-W] = 22.600</i>,<i> p &lt; 0.001)</i> and Kmax (<i>K-W = 28.110</i>,<i> p &lt; 0.001</i>) in the FIAS group. In the GTCS group, the largest difference was observed 30&#xa0;min before seizure onset (PUS: <i>p</i> &lt; 0.001, Cohen’s d = 1.843; Kmas: <i>p</i> &lt; 0.001, Cohen’s d = 1.419; skewness: <i>p</i> = 0.043, Cohen’s d = 0.808), whereas this was not the case in the FIAS group. PPG signals showed earlier changes in the GTCS group than in the FIAS group, highlighting their differences and the potential of PPG-based monitoring for early seizure detection.</p>

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Early hemodynamic differences between generalized and focal epilepsy measured by photoplethysmography

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年6月4日

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  • Aoxue Mei,
  • Cong Fu,
  • Zhao Liu,
  • Yujiao Yang,
  • Xiongfei Wang,
  • Mengyang Wang,
  • Jing Wang,
  • Zhigang Han,
  • Yujie Bo,
  • Ke Xu,
  • Chongyang Tang,
  • Guoming Luan

摘要

Photoplethysmography (PPG) detects hemodynamic changes during epileptic seizures. This study aim to investigate PPG signals changes during generalized tonic‒clonic seizures (GTCSs) and focal impaired awareness seizures (FIASs). 17 GTCS and 19 FIAS episodes were recorded from 18 patients. The 30 min preictal period was divided into three 10-minute intervals. PPG features analyzed were pulse upslope (PUS), maximal compliance (Kmax), and skewness. Features across 3 preictal intervals showed significant reductions compared to the baseline: PUS (F(3,64) = 11.870, p < 0.001), Kmax (F(3,64) = 7.419, p < 0.001) and skewness (F(3,64) = 2.852, p = 0.044) in the GTCS group. PUS (Kruskal–Wallis [K-W] = 22.600, p < 0.001) and Kmax (K-W = 28.110, p < 0.001) in the FIAS group. In the GTCS group, the largest difference was observed 30 min before seizure onset (PUS: p < 0.001, Cohen’s d = 1.843; Kmas: p < 0.001, Cohen’s d = 1.419; skewness: p = 0.043, Cohen’s d = 0.808), whereas this was not the case in the FIAS group. PPG signals showed earlier changes in the GTCS group than in the FIAS group, highlighting their differences and the potential of PPG-based monitoring for early seizure detection.