12 citations · 14 across the 6 of their papers we have counts for
5 papers · 1 filter
Reducing Intraspecies and Interspecies Covariate Shift in Traumatic Brain Injury EEG of Humans and Mice Using Transfer Euclidean Alignment
Manoj Vishwanath, Steven Cao, Nikil Dutt +3
While analytics of sleep electroencephalography (EEG) holds certain advantages over other methods in clinical applications, high variability across subjects poses a significant cha…
Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings
Ali Tazarv, Sina Labbaf, Amir Rahmani +2
Most existing sensor-based monitoring frameworks presume that a large available labeled dataset is processed to train accurate detection models. However, in settings where personal…
Edge-centric Optimization of Multi-modal ML-driven eHealth Applications
Anil Kanduri, Sina Shahhosseini, Emad Kasaeyan Naeini +4
Smart eHealth applications deliver personalized and preventive digital healthcare services to clients through remote sensing, continuous monitoring, and data analytics. Smart eHeal…
Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing
Sina Shahhosseini, Yang Ni, Hamidreza Alikhani +4
Health monitoring applications increasingly rely on machine learning techniques to learn end-user physiological and behavioral patterns in everyday settings. Considering the signif…
AMSER: Adaptive Multi-modal Sensing for Energy Efficient and Resilient eHealth Systems
Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri +3
eHealth systems deliver critical digital healthcare and wellness services for users by continuously monitoring physiological and contextual data. eHealth applications use multi-mod…