[HTML][HTML] Respiratory and heart rate monitoring dataset from aeration study

EFS Guy, I Flett, JA Clifton, T Caljé-van der Klei… - PhysioNet, 2024 - physionet.org
A study was conducted to collect respiratory pressure and flow data for model-based
assessment, alongside electrical impedance tomography (EIT) aeration, electrocardiogram …

[HTML][HTML] Respiratory monitoring dataset, with rapid expiratory occlusions, over increasing positive airway pressure ventilation

EFS Guy, JA Clifton, T Calje-Van Der Klei, R Chen… - Data in Brief, 2024 - Elsevier
Resting breathing data was collected from 80 smokers, vapers, asthmatics, and otherwise
healthy people in the low-risk clinical unit at the University of Canterbury. Subjects were …

Deep Long Short-Term Memory Networks for Asthma Disease Prediction from Respiratory Dataset Obtained from the PEEP Expiratory Occlusion

GN Beken, SZ Aydin, B Erkmen - 2024 47th International …, 2024 - ieeexplore.ieee.org
This study presents a system using Long-short-term memory (LSTM) network for asthma
disease prediction from respiratory dataset. For neural network training, a total of 34,000 …