During this research, we combined physical parameters measurement methods with numerical signal processing in order to extract indirectly physiological parameters signatures. The measures are characterized by the fact that they are differential and done at a high resolution. This permitted to acquire very low level signal variations caused by the physiological phenomenon of interest. Numerical processing permitted, starting from a very noisy raw signal, to separate the relevant information from what could be considered as noise and artefacts. Those measurement were done on systems combining, from an electrical point of view, low power consumption and low noise, in the perspective of developing ambulatory devices. Afterwards, data were a...
This PhD thesis is dedicated to the study of the variability observed in cardiac electrophysiology (...
Whether it is to monitor patients at home, or to prevent the isolation and vulnerability of the elde...
This research focuses on the development of algorithms to extract diagnostic information from the EC...
Acute stress is our body's adaptive response to the challenges of daily life. Stress has well-known ...
Photoplethysmographic (PPG) signals obtained from a webcam are analyzed through a continuous wavelet...
Nowadays, contact-less monitoring patient's heartbeat using Doppler radar has attracted considerable...
The European Society of Cardiology has highlighted the interest of observing the chronic activity of...
Cardiovascular and respiratory diseases are leading contributors of health problems in the world. Th...
This work addresses the problem of detecting multiple change points in (univariate or multivariate) ...
This thesis investigates the feasibility of using a set of non-invasive biomedical signals to monito...
The measurements of human respiration signal caused by the actions of the chest wall respiratory mus...
The aim of this work is to develop a signal processing methodology in order to improve fine studies ...
We humans are constantly preoccupied with our health and physiological status. From precise measurem...
The surveillance of premature newborns placed in intensive care units led to the notion of monitorin...
The development and spread of human-centered products that are increasingly simple and affordable ha...
This PhD thesis is dedicated to the study of the variability observed in cardiac electrophysiology (...
Whether it is to monitor patients at home, or to prevent the isolation and vulnerability of the elde...
This research focuses on the development of algorithms to extract diagnostic information from the EC...
Acute stress is our body's adaptive response to the challenges of daily life. Stress has well-known ...
Photoplethysmographic (PPG) signals obtained from a webcam are analyzed through a continuous wavelet...
Nowadays, contact-less monitoring patient's heartbeat using Doppler radar has attracted considerable...
The European Society of Cardiology has highlighted the interest of observing the chronic activity of...
Cardiovascular and respiratory diseases are leading contributors of health problems in the world. Th...
This work addresses the problem of detecting multiple change points in (univariate or multivariate) ...
This thesis investigates the feasibility of using a set of non-invasive biomedical signals to monito...
The measurements of human respiration signal caused by the actions of the chest wall respiratory mus...
The aim of this work is to develop a signal processing methodology in order to improve fine studies ...
We humans are constantly preoccupied with our health and physiological status. From precise measurem...
The surveillance of premature newborns placed in intensive care units led to the notion of monitorin...
The development and spread of human-centered products that are increasingly simple and affordable ha...
This PhD thesis is dedicated to the study of the variability observed in cardiac electrophysiology (...
Whether it is to monitor patients at home, or to prevent the isolation and vulnerability of the elde...
This research focuses on the development of algorithms to extract diagnostic information from the EC...