Applying artificial intelligence to wearable sensor data to diagnose and predict cardiovascular disease: a review
Cardiovascular disease (CVD) is the world's leading cause of mortality. There is significant
interest in using Artificial Intelligence (AI) to analyse data from novel sensors such as …
interest in using Artificial Intelligence (AI) to analyse data from novel sensors such as …
Smart wearables for the detection of cardiovascular diseases: a systematic literature review
Background: The advancement of information and communication technologies and the
growing power of artificial intelligence are successfully transforming a number of concepts …
growing power of artificial intelligence are successfully transforming a number of concepts …
A nationwide network of health AI assurance laboratories
Importance Given the importance of rigorous development and evaluation standards
needed of artificial intelligence (AI) models used in health care, nationwide accepted …
needed of artificial intelligence (AI) models used in health care, nationwide accepted …
Bio-signals in medical applications and challenges using artificial intelligence
Artificial Intelligence (AI) has broadly connected the medical field at various levels of
diagnosis based on the congruous data generated. Different types of bio-signal can be used …
diagnosis based on the congruous data generated. Different types of bio-signal can be used …
[HTML][HTML] Real-world accuracy of wearable activity trackers for detecting medical conditions: systematic review and meta-analysis
Background: Wearable activity trackers, including fitness bands and smartwatches, offer the
potential for disease detection by monitoring physiological parameters. However, their …
potential for disease detection by monitoring physiological parameters. However, their …
The status and perspectives of nanostructured materials and fabrication processes for wearable piezoresistive sensors
The wearable sensors have attracted a growing interest in different markets, including
health, fitness, gaming, and entertainment, due to their outstanding characteristics of …
health, fitness, gaming, and entertainment, due to their outstanding characteristics of …
Unlocking the potential of artificial intelligence in sports cardiology: does it have a role in evaluating athlete's heart?
S Palermi, M Vecchiato, A Saglietto… - European Journal of …, 2024 - academic.oup.com
The integration of artificial intelligence (AI) technologies is evolving in different fields of
cardiology and in particular in sports cardiology. Artificial intelligence offers significant …
cardiology and in particular in sports cardiology. Artificial intelligence offers significant …
Physical activity recognition based on deep learning using photoplethysmography and wearable inertial sensors
Human activity recognition (HAR) extensively uses wearable inertial sensors since this data
source provides the most information for non-visual datasets' time series. HAR research has …
source provides the most information for non-visual datasets' time series. HAR research has …
Employing of machine learning and wearable devices in healthcare system: tasks and challenges
HS Saad, JFW Zaki, MM Abdelsalam - Neural Computing and Applications, 2024 - Springer
Disease outbreaks are nowadays a critical issue despite the development and rapid growth
of technology. One of the major challenges facing healthcare professionals and healthcare …
of technology. One of the major challenges facing healthcare professionals and healthcare …
A novel fiducial point extraction algorithm to detect C and D points from the acceleration photoplethysmogram (CnD)
The extraction of relevant features from the photoplethysmography signal for estimating
certain physiological parameters is a challenging task. Various feature extraction methods …
certain physiological parameters is a challenging task. Various feature extraction methods …