ECG-iCOVIDNet: Interpretable AI model to identify changes in the ECG signals of post-COVID subjects
A Agrawal, A Chauhan, MK Shetty, MD Gupta… - Computers in Biology …, 2022 - Elsevier
Objective Studies showed that many COVID-19 survivors develop sub-clinical to clinical
heart damage, even if subjects did not have underlying heart disease before COVID. Since …
heart damage, even if subjects did not have underlying heart disease before COVID. Since …
[HTML][HTML] Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches
The improved diagnosis of cardiovascular diseases (CVD) from electrocardiograms (ECG)
may help prevent their severity. Since Deep Learning (DL) became popular, several DL …
may help prevent their severity. Since Deep Learning (DL) became popular, several DL …
[HTML][HTML] A novel concatenate feature fusion RCNN architecture for sEMG-based hand gesture recognition
P Xu, F Li, H Wang - PloS one, 2022 - journals.plos.org
Hand gesture recognition tasks based on surface electromyography (sEMG) are vital in
human-computer interaction, speech detection, robot control, and rehabilitation applications …
human-computer interaction, speech detection, robot control, and rehabilitation applications …
[HTML][HTML] SAR model for accurate detection of multi-label arrhythmias from electrocardiograms
L Yang, Y Zheng, Z Liu, R Tang, L Ma, Y Chen… - Heliyon, 2023 - cell.com
Objective Arrhythmias are prevalent symptoms of cardiovascular disease, necessitating
accurate and timely detection to mitigate associated risks. Detecting arrhythmias from ECGs …
accurate and timely detection to mitigate associated risks. Detecting arrhythmias from ECGs …
Islanding Detection Using Transformer Neural Networks
E David, JR Orillaza, JR Pedrasa - 2024 IEEE 4th International …, 2024 - ieeexplore.ieee.org
Unintentional islanding is becoming a significant concern for distribution utilities due to the
growing use of solar photovoltaic systems. These unintentional islands pose a threat to the …
growing use of solar photovoltaic systems. These unintentional islands pose a threat to the …
Wireless Electrocardiography and Impedance Cardiography Devices Using a Network Time Protocol for Synchronized Data
S Orsolini, E Pannicke, I Fomin… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
During minimally invasive and image-guided procedures, vital parameters have to be
recorded for patient safety. In the Magnetic Resonance Tomograph (MRT) environment the …
recorded for patient safety. In the Magnetic Resonance Tomograph (MRT) environment the …
[PDF][PDF] Cardiac arrhythmias classification in a low-power processor with TensorFlow Lite
L Landi, I Chatzigiannakis - ichatz.me
The World Health Organization estimated that 17.9 million people die each year from
cardiovascular diseases (CVDs), an estimated 32% of all deaths worldwide. 85% of all CVD …
cardiovascular diseases (CVDs), an estimated 32% of all deaths worldwide. 85% of all CVD …
Convolution-based models for automated interpretation of the electrocardiogram
P Pantelidis - 2021 - search.proquest.com
Methods: We retrieved ECG samples from an online databank, called PTB-XL. After pre-
processing them, we applied InceptionTime, MINIROCKET and a “custom” model we …
processing them, we applied InceptionTime, MINIROCKET and a “custom” model we …