101 citations · 214 across the 4 of their papers we have counts for
13 papers
Benchmarking real-time algorithms for in-phase auditory stimulation of low amplitude slow waves with wearable EEG devices during sleep
Maria Laura Ferster, Giulia Da Poian, Kiran Menachery +6
Auditory stimulation of EEG slow waves (SW) during non-rapid eye movement (NREM) sleep has shown to improve cognitive function when it is delivered at the up-phase of SW. SW enhanc…
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…
Remote health monitoring and diagnosis in the time of COVID-19
Joachim A. Behar, Chengyu Liu, Kevin Kotzen +13
Coronavirus disease (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that is rapidly spreading across the globe. The clinical spectrum of SA…
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…
A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data
Patrick Schwab, Walter Karlen
Multiple sclerosis (MS) affects the central nervous system with a wide range of symptoms. MS can, for example, cause pain, changes in mood and fatigue, and may impair a person's mo…