101 citations · 154 across the 4 of their papers we have counts for
4 papers
Detect-and-Segment: a Deep Learning Approach to Automate Wound Image Segmentation
Gaetano Scebba, Jia Zhang, Sabrina Catanzaro +4
Chronic wounds significantly impact quality of life. If not properly managed, they can severely deteriorate. Image-based wound analysis could aid in objectively assessing the wound…
Covariance Intersection to Improve the Robustness of the Photoplethysmogram Derived Respiratory Rate
Jia Zhang, Gaetano Scebba, Walter Karlen
Respiratory rate (RR) can be estimated from the photoplethysmogram (PPG) recorded by optical sensors in wearable devices. The fusion of estimates from different PPG features has le…
Multispectral Video Fusion for Non-contact Monitoring of Respiratory Rate and Apnea
Gaetano Scebba, Giulia Da Poian, Walter Karlen
Continuous monitoring of respiratory activity is desirable in many clinical applications to detect respiratory events. Non-contact monitoring of respiration can be achieved with ne…
Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks
Patrick Schwab, Gaetano Scebba, Jia Zhang +2
With tens of thousands of electrocardiogram (ECG) records processed by mobile cardiac event recorders every day, heart rhythm classification algorithms are an important tool for th…