Modalities and algorithms for generalized motor seizure detection and prediction: a scoping review
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.
Authors
- Aliaa Rehan Youssef (ORCID: https://orcid.org/0000-0002-5345-5936)
- Farida Hesham
- Nariman Ahmed
- Mostafa Abdelrahim
- Ahmed Taha Wesal
- Nour Allah Zaki
- Nour Bahgat
- Mohamed A. M. Gad
Institutions
- Cairo University (EG)
Publication Details
- Journal
- Expert Review of Medical Devices
- Published
- 2026-02-16
- DOI
- https://doi.org/10.1080/17434440.2026.2632757
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00