2 citations · 3 across the 3 of their papers we have counts for
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NeuroSleepNet: A Multi-Head Self-Attention Based Automatic Sleep Scoring Scheme with Spatial and Multi-Scale Temporal Representation Learning
Muhammad Sudipto Siam Dip, Mohammod Abdul Motin, Chandan Karmakar +2
Objective: Automatic sleep scoring is crucial for diagnosing sleep disorders. Existing frameworks based on Polysomnography often rely on long sequences of input signals to predict…
Learning post-processing for QRS detection using Recurrent Neural Network
Ahsan Habib, Chandan Karmakar, John Yearwood
Deep-learning based QRS-detection algorithms often require essential post-processing to refine the prediction streams for R-peak localisation. The post-processing performs signal-p…
Choosing a sampling frequency for ECG QRS detection using convolutional networks
Ahsan Habib, Chandan Karmakar, John Yearwood
Automated QRS detection methods depend on the ECG data which is sampled at a certain frequency, irrespective of filter-based traditional methods or convolutional network (CNN) base…