ECG-based biometric under different psychological stress states
Sign Up to like & getrecommendations! Published in 2021 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2021.106005
Abstract: BACKGROUND AND OBJECTIVE In recent years, people have been exploring methods for biometric identification through electrocardiogram (ECG) signals. Under the same psychological pressure state, biometric identification through ECG signals is a traditional verification method. However,… read more here.
Keywords: biometric different; different psychological; ecg based; based biometric ... See more keywords
Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection
Sign Up to like & getrecommendations! Published in 2022 at "Computers in Biology and Medicine"
DOI: 10.1016/j.compbiomed.2022.105335
Abstract: Background The world has been suffering from the COVID-19 pandemic since 2019. More than 5 million people have died. Pneumonia is caused by the COVID-19 virus, which can be diagnosed using chest X-ray and computed… read more here.
Keywords: ecg based; covid detection; based covid; residual connections ... See more keywords
ECG-Based Techniques to Optimize Peripherally Inserted Central Catheters: Rationale for Tip Positioning and Practical Use
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Cardiovascular Medicine"
DOI: 10.3389/fcvm.2022.765935
Abstract: Intracavitary electrocardiography is an accurate guidance technique for peripherally inserted central catheters (PICC) tip location that is spreading widely among providers using non x-ray-based facilities. The principle behind this technology relies on the transmission of… read more here.
Keywords: ecg based; peripherally inserted; central catheters; techniques optimize ... See more keywords
Contrastive Self-Supervised Learning for Stress Detection from ECG Data
Sign Up to like & getrecommendations! Published in 2022 at "Bioengineering"
DOI: 10.3390/bioengineering9080374
Abstract: In recent literature, ECG-based stress assessment has become popular due to its proven correlation to stress and increased accessibility of ECG data through commodity hardware. However, most ECG-based stress assessment models use supervised learning, relying… read more here.
Keywords: ecg based; ecg; supervised learning; stress assessment ... See more keywords
ECG-Based Semi-Supervised Anomaly Detection for Early Detection and Monitoring of Epileptic Seizures
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph20065000
Abstract: Epilepsy is one of the most common brain diseases, characterized by frequent recurrent seizures or “ictal” states. A patient experiences uncontrollable muscular contractions, inducing loss of mobility and balance, which may result in injury or… read more here.
Keywords: ecg based; seizure; detection; anomaly detection ... See more keywords