Wearable multimodal non-EEG seizure detection and prediction systems offer personalized care but face validation, hardware, and privacy hurdles requiring efficient AI and clear regulations.
Wearable non-EEG seizure detection systems show promise for personalized care but require further validation, AI efficiency, and clear regulations.
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Wearable multimodal non-EEG seizure detection and prediction systems offer personalized care but face validation, hardware, and privacy hurdles. Future success depends on efficient AI, IoT integration, patient-centric design, and clear regulations ensuring accessible and trustworthy clinical tools.
Wesal et al. (Mon,) reported a other. Wearable multimodal non-EEG seizure detection and prediction systems offer personalized care but face validation, hardware, and privacy hurdles requiring efficient AI and clear regulations.