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Cuff-less Arterial Blood Pressure Waveform Synthesis from Single-site PPG using Transformer & Frequency-domain Learning
We propose two novel purpose-built deep learning (DL) models for synthesis of the arterial blood pressure (ABP) waveform in a cuff-less manner, using a single-site photoplethysmography (PPG) signal.
Vascular Ageing and Smoking Habit Prediction via a Low-Cost Single-Lead ECG Module
For the binary classification problem that aims to differentiate between a smoker and a non-smoker, XGBoost method stands out with an accuracy of 96. 5%.
Non-Contact Monitoring of Dehydration using RF Data Collected off the Chest and the Hand
Compared to prior work where the reported accuracy is 97. 83%, our proposed non-contact method is slightly inferior (as we report a maximum accuracy of 96. 15%); nevertheless, the advantages of our non-contact dehydration method speak for themselves.
Myocardial Infarction Detection from ECG: A Gramian Angular Field-based 2D-CNN Approach
Our proposed approach achieves an average classification accuracy of 99. 68\%, 99. 80\%, 99. 82\%, and 99. 84\% under GASF dataset with noise and baseline wander, GADF dataset with noise and baseline wander, GASF dataset with noise and baseline wander removed, and GADF dataset with noise and baseline wander removed, respectively.
