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Lessons from a challenge on forecasting epileptic seizures from non-cerebral signals

Nature Machine Intelligence volume 6, pages 243–244 (2024)Cite this article

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The “My Seizure Gauge” competition explored the challenge of forecasting epileptic seizures using non-invasive wearable devices without an electroencephalogram. The organizers and the winning team reflect on their experiences.

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Fig. 1: Photo of the wearable device used in the Challenge and a visualization of the data processing pipeline.

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Acknowledgements

We thank M. Nasseri for her contribution in coordinating the data collection.

Author information

Authors and Affiliations

  1. Chemnitz University of Technology, Chemnitz, Germany

    Kenny Schlegel

  2. Centre for Applied Autonomous Sensor Systems, Örebro University, Örebro, Sweden

    Denis Kleyko

  3. Intelligent Systems Lab, Research Institutes of Sweden, Kista, Sweden

    Denis Kleyko

  4. Department of Neurology, Mayo Clinic Rochester, Rochester, MN, USA

    Benjamin H. Brinkmann

  5. Seer Medical, Melbourne, Victoria, Australia

    Ewan S. Nurse

  6. Independent researcher, Melbourne, Victoria, Australia

    Ross W. Gayler

  7. University of Koblenz, Koblenz, Germany

    Peer Neubert

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  1. Kenny Schlegel
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  2. Denis Kleyko
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Correspondence to Kenny Schlegel.

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The authors declare no competing interests.

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Schlegel, K., Kleyko, D., Brinkmann, B.H. et al. Lessons from a challenge on forecasting epileptic seizures from non-cerebral signals. Nat Mach Intell 6, 243–244 (2024). https://doi.org/10.1038/s42256-024-00799-6

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