26 citations · 27 across the 5 of their papers we have counts for
5 papers
An Enhanced Source-Free Unsupervised Domain Adaptation Framework for Cross-Dataset EEG Emotion Recognition via Predictive Coding and Test-Time Training
Md Niaz Imtiaz, Naimul Khan
EEG-based emotion recognition is widely used in affective computing but suffers from poor generalization due to domain shifts caused by inter-subject variability, dataset differenc…
Towards Practical Emotion Recognition: An Unsupervised Source-Free Approach for EEG Domain Adaptation
Md Niaz Imtiaz, Naimul Khan
Emotion recognition is crucial for advancing mental health, healthcare, and technologies such as brain-computer interfaces. EEG-based models, however, struggle in cross-domain sett…
Enhanced Cross-Dataset Electroencephalogram-based Emotion Recognition using Unsupervised Domain Adaptation
Md Niaz Imtiaz, Naimul Khan
Emotion recognition has significant potential in healthcare and affect-sensitive systems such as brain-computer interfaces (BCIs). However, challenges such as the high cost of labe…
Cross-Database and Cross-Channel ECG Arrhythmia Heartbeat Classification Based on Unsupervised Domain Adaptation
Md Niaz Imtiaz, Naimul Khan
The classification of electrocardiogram (ECG) plays a crucial role in the development of an automatic cardiovascular diagnostic system. However, considerable variances in ECG signa…
Pan-Tompkins++: A Robust Approach to Detect R-peaks in ECG Signals
Naimul Khan, Md Niaz Imtiaz
R-peak detection is crucial in electrocardiogram (ECG) signal processing as it is the basis of heart rate variability analysis. The Pan-Tompkins algorithm is the most widely used Q…