48 citations · 53 across the 4 of their papers we have counts for
4 papers
Artifact detection and localization in single-channel mobile EEG for sleep research using deep learning and attention mechanisms
Khrystyna Semkiv, Jia Zhang, Maria Laura Ferster +1
Current methods for detecting artifacts in sleep EEG range from threshold-based algorithms to machine learning approaches, yet applications remain limited for single-channel mobile…
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…
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…