56 citations · 84 across the 19 of their papers we have counts for
4 papers · 1 filter
Domain-adaptive Fall Detection Using Deep Adversarial Training
Kai-Chun Liu, Michael Can, Heng-Cheng Kuo +4
Fall detection (FD) systems are important assistive technologies for healthcare that can detect emergency fall events and alert caregivers. However, it is not easy to obtain large-…
SRECG: ECG Signal Super-resolution Framework for Portable/Wearable Devices in Cardiac Arrhythmias Classification
Tsai-Min Chen, Yuan-Hong Tsai, Huan-Hsin Tseng +6
A combination of cloud-based deep learning (DL) algorithms with portable/wearable (P/W) devices has been developed as a smart heath care system to support automatic cardiac arrhyth…
Deep Learning Based Signal Enhancement of Low-Resolution Accelerometer for Fall Detection Systems
Kai-Chun Liu, Kuo-Hsuan Hung, Chia-Yeh Hsieh +3
In the last two decades, fall detection (FD) systems have been developed as a popular assistive technology. Such systems automatically detect critical fall events and immediately a…
Using Deep Learning and Explainable Artificial Intelligence in Patients' Choices of Hospital Levels
Lichin Chen, Yu Tsao, Ji-Tian Sheu
In countries that enabled patients to choose their own providers, a common problem is that the patients did not make rational decisions, and hence, fail to use healthcare resources…