Artificial intelligence in cardiology: Hope for the future and power for the present
Cardiovascular disease (CVD) is the principal cause of mortality and morbidity globally. With
the pressures for improved care and translation of the latest medical advances and …
the pressures for improved care and translation of the latest medical advances and …
Challenges and prospects of visual contactless physiological monitoring in clinical study
The monitoring of physiological parameters is a crucial topic in promoting human health and
an indispensable approach for assessing physiological status and diagnosing diseases …
an indispensable approach for assessing physiological status and diagnosing diseases …
[HTML][HTML] Multi-classification neural network model for detection of abnormal heartbeat audio signals
H Malik, U Bashir, A Ahmad - Biomedical Engineering Advances, 2022 - Elsevier
Nowadays, heart disease is the leading cause of death. The high mortality rate and
escalating occurrence of heart diseases worldwide warrant the requirement for a fast and …
escalating occurrence of heart diseases worldwide warrant the requirement for a fast and …
Motion-robust atrial fibrillation detection based on remote-photoplethysmography
Atrial fibrillation (AF) has been proven highly correlated to stroke; more than 43 million
people suffer from AF worldwide. However, most of these patients are unaware of their …
people suffer from AF worldwide. However, most of these patients are unaware of their …
Accuracy of artificial intelligence-based technologies for the diagnosis of atrial fibrillation: A systematic review and meta-analysis
N Manetas-Stavrakakis, IM Sotiropoulou… - Journal of Clinical …, 2023 - mdpi.com
Atrial fibrillation (AF) is the most common arrhythmia with a high burden of morbidity
including impaired quality of life and increased risk of thromboembolism. Early detection and …
including impaired quality of life and increased risk of thromboembolism. Early detection and …
Peripheral oxygen saturation measurement using an rgb camera
In 2019, the COVID-19 pandemic became a serious issue around the world. Low blood
oxygen is the most important symptom of COVID-19. However, many patients have no …
oxygen is the most important symptom of COVID-19. However, many patients have no …
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)
Atrial fibrillation (AF) affects more than 30 million individuals worldwide, making it the most
prevalent cardiac arrhythmia on a global scale. This systematic review summarizes recent …
prevalent cardiac arrhythmia on a global scale. This systematic review summarizes recent …
[HTML][HTML] Measurement of vital signs by lifelight software in comparison to standard of care multisite development (VISION-MD): protocol for an observational study
L Wiffen, T Brown, AB Maczka… - JMIR Research …, 2023 - researchprotocols.org
Background: Measuring vital signs (VS) is an important aspect of clinical care but is time-
consuming and requires multiple pieces of equipment and trained staff. Interest in the …
consuming and requires multiple pieces of equipment and trained staff. Interest in the …
Promoting generalization in cross-dataset remote photoplethysmography
Remote Photoplethysmography (rPPG), or the remote monitoring of a subject's heart rate
using a camera, has seen a shift from handcrafted techniques to deep learning models …
using a camera, has seen a shift from handcrafted techniques to deep learning models …
[HTML][HTML] Assessment of facial video-based detection of atrial fibrillation across human complexion
Background Early self-detection of atrial fibrillation (AF) can help delay and/or prevent
significant associated complications, including embolic stroke and heart failure. We …
significant associated complications, including embolic stroke and heart failure. We …