214 citations · 242 across the 4 of their papers we have counts for
3 papers · 1 filter
Robust Segmentation of CPR-Induced Capnogram Using U-net: Overcoming Challenges with Deep Learning
Andoni Elola, Imanol Ania, Xabier Jaureguibeitia +4
Objective: The accurate segmentation of capnograms during cardiopulmonary resuscitation (CPR) is essential for effective patient monitoring and advanced airway management. This stu…
Beyond Heart Murmur Detection: Automatic Murmur Grading from Phonocardiogram
Andoni Elola, Elisabete Aramendi, Jorge Oliveira +6
Objective: Murmurs are abnormal heart sounds, identified by experts through cardiac auscultation. The murmur grade, a quantitative measure of the murmur intensity, is strongly corr…
The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification
Jorge Oliveira, Francesco Renna, Paulo Dias Costa +12
Cardiac auscultation is one of the most cost-effective techniques used to detect and identify many heart conditions. Computer-assisted decision systems based on auscultation can su…