Quality-Aware Multimodal Seizure Detection via Dynamic Motor Fusion and Autonomic Gating
The detection of epileptic seizures is essential for effective clinical surveillance, but current algorithms are impeded by intense motion artifacts and the insufficient learning of low-frequency physiological signals. This study uses multimodal physiological signals, including three-axis acceleration (ACC), three-axis...