Smart wearables for the detection of cardiovascular diseases: a systematic literature review

M Moshawrab, M Adda, A Bouzouane, H Ibrahim… - Sensors, 2023 - mdpi.com
Background: The advancement of information and communication technologies and the
growing power of artificial intelligence are successfully transforming a number of concepts …

Non-invasive biosensing for healthcare using artificial intelligence: a semi-systematic review

T Islam, P Washington - Biosensors, 2024 - mdpi.com
The rapid development of biosensing technologies together with the advent of deep learning
has marked an era in healthcare and biomedical research where widespread devices like …

mmarrhythmia: Contactless arrhythmia detection via mmwave sensing

L Zhao, R Lyu, Q Lin, A Zhou, H Zhang, H Ma… - Proceedings of the …, 2024 - dl.acm.org
Arrhythmia is a common problem of irregular heartbeats, which may lead to serious
complications such as stroke and even mortality. Due to the paroxysmal nature of …

Spatial-temporal masked autoencoder for multi-device wearable human activity recognition

S Miao, L Chen, R Hu - Proceedings of the ACM on Interactive, Mobile …, 2024 - dl.acm.org
The widespread adoption of wearable devices has led to a surge in the development of multi-
device wearable human activity recognition (WHAR) systems. Nevertheless, the …

Beyond accuracy: a critical review of fairness in machine learning for mobile and wearable computing

S Yfantidou, M Constantinides, D Spathis… - arxiv preprint arxiv …, 2023 - arxiv.org
The field of mobile and wearable computing is undergoing a revolutionary integration of
machine learning. Devices can now diagnose diseases, predict heart irregularities, and …

Wrist-worn device combining PPG and ECG can be reliably used for atrial fibrillation detection in an outpatient setting

HJ Saarinen, A Joutsen, K Korpi, T Halkola… - Frontiers in …, 2023 - frontiersin.org
Aims The aim was to validate the performance of a monitoring system consisting of a wrist-
worn device and a data management cloud service intended to be used by medical …

Photoplethysmography based atrial fibrillation detection: a continually growing field

C Ding, R **ao, W Wang, E Holdsworth… - Physiological …, 2024 - iopscience.iop.org
Objective. Atrial fibrillation (AF) is a prevalent cardiac arrhythmia associated with significant
health ramifications, including an elevated susceptibility to ischemic stroke, heart disease …

AirECG: Contactless Electrocardiogram for Cardiac Disease Monitoring via mmWave Sensing and Cross-domain Diffusion Model

L Zhao, R Lyu, H Lei, Q Lin, A Zhou, H Ma… - Proceedings of the …, 2024 - dl.acm.org
The electrocardiogram (ECG) has always served as a crucial biomedical examination for
cardiac diseases monitoring and diagnosing. Typical ECG measurement requires attaching …

An intelligent hybrid classification model for heart disease detection using imbalanced electrocardiogram signals

S Ketu, PK Mishra - The Journal of Supercomputing, 2024 - Springer
Cardiovascular disease (CVD) is among one of the notable menaces to society worldwide.
CVD causes the highest number of deaths each year making it one of the most life …

[HTML][HTML] Advancing digital medicine with Wearables in the wild

RS McGinnis, EW McGinnis - Sensors, 2022 - mdpi.com
This editorial provides a concise overview of the use and importance of wearables in the
emerging field of digital medicine. We discuss best practices for evaluation of these …