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March 3, 2026Biomedical Signal Processing and Control2 citations

An energy-efficient dual-branch spiking neural network for epileptic seizure detection from electroencephalogram signals

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XLXicheng LouChongqing University of Posts and TelecommunicationsXLXinwei LiChongqing University of Posts and TelecommunicationsHMHongying MengChongqing University of Posts and Telecommunications

Key Points

  • Epileptic seizures were effectively detected using an energy-efficient dual-branch spiking neural network.
  • The model achieved a detection accuracy of over 90%, significantly enhancing traditional EEG signal analysis.
  • Analysis involved real-time processing of electroencephalogram signals across diverse patient cohorts.
  • Future applications may improve seizure management framework, but clinical trials are necessary to validate results.
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Cite This Study

Lou et al. (2026) studied this question.

synapsesocial.com/papers/69a75b68c6e9836116a22afbhttps://doi.org/10.1016/j.bspc.2026.109694
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