Bringing emotion recognition out of the lab into real life: Recent advances in sensors and machine learning
S Saganowski - Electronics, 2022 - mdpi.com
Bringing emotion recognition (ER) out of the controlled laboratory setup into everyday life
can enable applications targeted at a broader population, eg, hel** people with …
can enable applications targeted at a broader population, eg, hel** people with …
A systematic survey of data augmentation of ECG signals for AI applications
AI techniques have recently been put under the spotlight for analyzing electrocardiograms
(ECGs). However, the performance of AI-based models relies on the accumulation of large …
(ECGs). However, the performance of AI-based models relies on the accumulation of large …
A Self-Attention Synthesizing Model with Privacy-Preserving (ACCT-GAN) for Medical Tabular Data
H Qi, W Zou, S Fu, L Deng - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Accurate clinical cancer prediction is important for clinical diagnosis. Most of the cancer
patient data have high privacy and using clinical patient data directly may create concerns …
patient data have high privacy and using clinical patient data directly may create concerns …
Data augmentation for generating synthetic electrogastrogram time series
To address an emerging need for large number of diverse datasets for rigor evaluation of
signal processing techniques, we developed and evaluated a new method for generating …
signal processing techniques, we developed and evaluated a new method for generating …
AI-Driven Atrial Arrhythmia Detection: Development, Cross-Comparison and Uncertainty Quantification of Algorithms for Clinical Continuous ECGs
MM Rahman - 2024 - air.unimi.it
Background: Atrial arrhythmias, particularly atrial fibrillation (AF), are prevalent
cardiovascular disorders characterized by irregular heart rhythms originating from the atria …
cardiovascular disorders characterized by irregular heart rhythms originating from the atria …