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Automatic seizure detection technology is of great significance to reduce workloads of neurologists for epilepsy diagnosis and treatments. Imbalanced classification is a challenge in seizure detection from long-term continuous EEG recordings, as the durations of the seizure events are much shorter than the non-seizure periods. An imbalanced deep learning model is proposed in this paper to improve...
This work aimed to investigate the effect of blood flow pulsation in patients with pulsatile tinnitus (PT). Nine blood flow patterns with different pulsations were designed on the basis of the blood flow data of a patient with PT (control group; cases with blood flow pulsation indexes that had decreased by 20%, 40%, 60%, and 80%; and cases with blood flow pulsation indexes that had increased by 20%,...
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