2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
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…
eess.SP2021
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…
eess.SP2020★ 2 cited
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…