… student model receives the dark knowledge of multi-lead ECG signals from the teacher by
imitating the teacher’… According to the results, the student model was nearly 262.18 times more …

… compare the effects of the student model, teacher model and distilled student model, we used
statistical … of statistical errors of student model, teacher model and distillation student model …

… (ECG) data, and a small amount of paired ECG/PPG data. For reproducibility, experiments on
a synthetic dataset, where we perturb the ECG signal … We find that teacher-student domain …

… parameters of the teacher model are frozen, and only the student model is updated. We feed
12-lead ECG signals to the teacher and single-lead ECG signals to the student. The size of …

… models with the soft outputs of the teacher model. A student model is then trained with the …
p is the probability output of a student model, q is the soft label from the teacher model that we …

… We fed the ECG signal Xe and PPG signal Xp into two GRU networks, respectively, as …
and demographic features are used for the input signal of this model. We apply teacher-student …

… of electrocardiography (ECG) through minimising the number of recording electrodes employed
in ECG signal … to a students' ability to correctly interpret ECGs was presented. All three …

… risks that are caused by either the school management or the students’ attitudes. … signals
namely EEG, ECG and EMG be used to determine the psychosocial risk levels in teachers by …

… The experiments such as denoising corrupted ECG signals, … undergraduate students on the
biomedical signal processing … He has a strong academic teaching and research experience …

… [24] collected ECG signals by wearable devices and used KNN classifier to detect mental …
, task performance, and ECG data of multiple learning states in real teaching situations. The …