Contextual imputation with missing sequence of EEG signals using generative adversarial networks
W Lee, J Lee, Y Kim - IEEE Access, 2021 - ieeexplore.ieee.org
Missing values are very prevalent in real world; they are caused by various reasons such as
user mistakes or device failures. They often cause critical problems especially in medical …
user mistakes or device failures. They often cause critical problems especially in medical …
Temporal complexity of EEG encodes human alertness
Objective. Automatic human alertness monitoring has recently become an important
research topic with important applications in many areas such as the detection of drivers' …
research topic with important applications in many areas such as the detection of drivers' …
Automatic scoring of apnea and hypopnea events using blood oxygen saturation signals
RE Rolón, IE Gareis, LD Larrateguy… - … Signal Processing and …, 2020 - Elsevier
The obstructive sleep apnea-hypopnea (OSAH) syndrome is a common and frequently
undiagnosed sleep disorder. It is characterized by repeated events of partial (hypopnea) or …
undiagnosed sleep disorder. It is characterized by repeated events of partial (hypopnea) or …
Aspects of time series analysis with entropies and complexity measures
D Aiordachioaie, TD Popescu - 2020 international symposium …, 2020 - ieeexplore.ieee.org
This exploratory work looks on time series complexity, for direct applications in change
detection of the structure and properties of the signals. The objective of the paper was to …
detection of the structure and properties of the signals. The objective of the paper was to …