81 citations · 104 across the 6 of their papers we have counts for
6 papers
NeuroSleepNet: An Explainable Multi-Head Attention-Based Framework With Spatial and Multi-Scale Independent Temporal Context Learning for Automatic Sleep Stage Scoring
Muhammad Sudipto Siam Dip, Mohammod Abdul Motin, Chandan Karmakar +2
Automatic sleep stage scoring is crucial for monitoring sleep quality and sleep-related disorders. However, most existing electroencephalogram (EEG) based deep learning frameworks…
Optimising complexity of CNN models for resource constrained devices: QRS detection case study
Ahsan Habib, Chandan Karmakar, John Yearwood
Traditional DL models are complex and resource hungry and thus, care needs to be taken in designing Internet of (medical) things (IoT, or IoMT) applications balancing efficiency-co…
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…
Remote health monitoring and diagnosis in the time of COVID-19
Joachim A. Behar, Chengyu Liu, Kevin Kotzen +13
Coronavirus disease (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that is rapidly spreading across the globe. The clinical spectrum of SA…
The effects of asymmetric volume conductor modeling on non-invasive fetal ECG extraction
Emerson Keenan, Chandan Kumar Karmakar, Marimuthu Palaniswami
Objective: Non-invasive fetal electrocardiography (NI-FECG) shows promise for capturing novel physiological information that may indicate signs of fetal distress. However, signific…