[HTML][HTML] Indirect estimation of breathing rate from heart rate monitoring system during running

G Prigent, K Aminian, T Rodrigues, JM Vesin, GP Millet… - Sensors, 2021‏ - mdpi.com
Recent advances in wearable technologies integrating multi-modal sensors have enabled
the in-field monitoring of several physiological metrics. In sport applications, wearable …

Artificial intelligence in echocardiography

M Dorraki, PP Sengupta, JW Verjans - Intelligence-Based Cardiology and …, 2024‏ - Elsevier
Echocardiography is the diagnostic workhorse in cardiology, but interpretation can be
inconsistent. Machine learning (ML) and artificial intelligence (AI) are increasingly being …

Real world multimodal assessment of physical behavior change in health and disease

G Prigent - 2023‏ - infoscience.epfl.ch
Sedentary lifestyle is currently considered a global pandemic, associated with major health
problems such as cardiovascular disease and premature death. Regular physical activity …

Parameter identification using moment of velocity

M Dorraki, MS Islam, A Allison… - Royal Society Open …, 2019‏ - royalsocietypublishing.org
Many physical systems can be adequately modelled using a second-order approximation.
Thus, the problem of system identification often reduces to the problem of estimating the …

[PDF][PDF] CAN WE TEACH AMachine TO BE CARDIOLOGIST?

HL Nguyen‏ - eleceng.adelaide.edu.au
Electrocardiogram (ECG) is one of the most popular biomedical signals that cardiologists
use to diagnose cardiovascular diseases. It can clearly reflect the cardiac system of human …

[PDF][PDF] Can we Teach a Machine to be a Cardiologist?

S Kleinig, HL Nguyen‏ - eleceng.adelaide.edu.au
Electrocardiograms (ECGs) are recordings of the electrical activity of the heart, and play an
important role in the diagnosis of many cardiac abnormalities. Recently, there has been an …