1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.SP2023
Unsupervised sequence-to-sequence learning for automatic signal quality assessment in multi-channel electrical impedance-based hemodynamic monitoring
Chang Min Hyun, Tae-Geun Kim, Kyounghun Lee
This study proposes an unsupervised sequence-to-sequence learning approach that automatically assesses the motion-induced reliability degradation of the cardiac volume signal (CVS)…
math.AP2014★ 1 cited
Electrical impedance tomography-based pressure-sensing using conductive membrane
Habib Ammari, Kyungkeun Kang, Kyounghun Lee +1
This paper presents a mathematical framework for a flexible pressure-sensor model using electrical impedance tomography (EIT). When pressure is applied to a conductive membrane pat…