Mathieu Lemay
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View article: Unobtrusive Reflectance Photoplethysmography for Detecting and Severity Grading of Sleep Apnea via Oxygen Desaturation Index
Unobtrusive Reflectance Photoplethysmography for Detecting and Severity Grading of Sleep Apnea via Oxygen Desaturation Index Open
Sleep apnea is a common chronic sleep-related disorder which is known to be a comorbidity for cerebroand cardio-vascular disease. Diagnosis of sleep apnea usually requires an overnight polysomnography at the sleep laboratory. In this paper…
View article: Remote monitoring of patients with obstructive sleep apnea syndrome treated with CPAP: a feasibility study
Remote monitoring of patients with obstructive sleep apnea syndrome treated with CPAP: a feasibility study Open
Introduction Obstructive sleep apnea syndrome (OSAS) is a prevalent sleep disorder associated with significant morbidity and mortality, particularly due to its links with cardiovascular diseases like hypertension (HT). Continuous positive …
View article: Continuous SpO2 Monitoring Using Reflectance Pulse Oximetry at the Wrist and Upper Arm During Overnight Sleep Apnea Recordings
Continuous SpO2 Monitoring Using Reflectance Pulse Oximetry at the Wrist and Upper Arm During Overnight Sleep Apnea Recordings Open
Sleep apnea (SA) is a chronic sleep-related disorder consisting of repetitive pauses or restrictions in airflow during sleep and is known to be a risk factor for cerebro- and cardiovascular disease. It is generally diagnosed using polysomn…
View article: An optimized framework for simultaneous EEG-fMRI at 7T enabling safe, high-quality human brain imaging with millisecond temporal resolution and sub-millimeter spatial resolution
An optimized framework for simultaneous EEG-fMRI at 7T enabling safe, high-quality human brain imaging with millisecond temporal resolution and sub-millimeter spatial resolution Open
The combination of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) at ultra-high field (7 Tesla) offers appealing new possibilities to probe human brain function non-invasively with high coverage, millisecond …
View article: An optimized framework for simultaneous EEG-fMRI at 7T enabling safe, high-quality human brain imaging with millisecond temporal resolution and sub-millimeter spatial resolution
An optimized framework for simultaneous EEG-fMRI at 7T enabling safe, high-quality human brain imaging with millisecond temporal resolution and sub-millimeter spatial resolution Open
The combination of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) at ultra-high field (7 Tesla) offers appealing new possibilities to probe human brain function non-invasively with high coverage, millisecond …
View article: Non-invasive detection of cardiac arrhythmias using photoplethysmography signals
Non-invasive detection of cardiac arrhythmias using photoplethysmography signals Open
Cardiac arrhythmias (CAs) are associated with critical heart-related complications such as stroke or heart failure. Because of the intermittent and asymptomatic presentation of some CAs in their early stages, the screening remains limited …
View article: The influence of cardiac arrhythmias on the detection of heartbeats in the photoplethysmogram: benchmarking open-source algorithms
The influence of cardiac arrhythmias on the detection of heartbeats in the photoplethysmogram: benchmarking open-source algorithms Open
Objective. Cardiac arrhythmias are a leading cause of mortality worldwide. Wearable devices based on photoplethysmography give the opportunity to screen large populations, hence allowing for an earlier detection of pathological rhythms tha…
View article: Music and voice interventions in the NICU: a novel adaptive personalized auditory care based on biophysical feedback
Music and voice interventions in the NICU: a novel adaptive personalized auditory care based on biophysical feedback Open
Neonatal Intensive Care Units are an extremely noisy and stressful environment, known to be detrimental to the neurological outcome of preterm born infants.In a time when the sensory environment is critical for the infants' development, im…
View article: Introducing Artificial Intelligence in Interpretation of Foetal Cardiotocography: Medical Dataset Curation and Preliminary Coding—An Interdisciplinary Project
Introducing Artificial Intelligence in Interpretation of Foetal Cardiotocography: Medical Dataset Curation and Preliminary Coding—An Interdisciplinary Project Open
Artificial intelligence (AI) is gaining increasing interest in the field of medicine because of its capacity to process big data and pattern recognition. Cardiotocography (CTG) is widely used for the assessment of foetal well-being and ute…
View article: PrivaTree: Collaborative Privacy-Preserving Training of Decision Trees on Biomedical Data
PrivaTree: Collaborative Privacy-Preserving Training of Decision Trees on Biomedical Data Open
Biomedical data generation and collection have become faster and more ubiquitous. Consequently, datasets are increasingly spread across hospitals, research institutions, or other entities. Exploiting such distributed datasets simultaneousl…
View article: Blood pressure monitoring during anesthesia induction using PPG morphology features and machine learning
Blood pressure monitoring during anesthesia induction using PPG morphology features and machine learning Open
Blood pressure (BP) is a crucial biomarker giving valuable information regarding cardiovascular diseases but requires accurate continuous monitoring to maximize its value. In the effort of developing non-invasive, non-occlusive and continu…
View article: Blood pressure monitoring during anesthesia induction using PPG morphology features and machine learning
Blood pressure monitoring during anesthesia induction using PPG morphology features and machine learning Open
PPG-BP dataset of forty patients undergoing general anesthesia, as described in the corresponding journal publication at PLOS ONE (10.1371/journal.pone.0279419). When using this data, please cite the corresponding journal publication.
View article: Blood pressure monitoring during anesthesia induction using PPG morphology features and machine learning
Blood pressure monitoring during anesthesia induction using PPG morphology features and machine learning Open
PPG-BP dataset of forty patients undergoing general anesthesia, as described in the corresponding journal publication at PLOS ONE (10.1371/journal.pone.0279419). When using this data, please cite the corresponding journal publication.
View article: Blood pressure monitoring during anesthesia induction using PPG morphology features and machine learning
Blood pressure monitoring during anesthesia induction using PPG morphology features and machine learning Open
PPG-BP dataset of forty patients undergoing general anesthesia, as described in the corresponding journal publication at PLOS ONE (10.1371/journal.pone.0279419). When using this data, please cite the corresponding journal publication.
View article: ADVANCED DIGITAL TECHNOLOGIES IN LIFE SCIENCES: PHOTONICS AND BEYOND
ADVANCED DIGITAL TECHNOLOGIES IN LIFE SCIENCES: PHOTONICS AND BEYOND Open
CSEM technologies aim to improve the quality of life of patients and make new treatments accessible for all. Life sciences companies’ central role in drug pricing and access to medicines puts them on the frontline of societal challenges li…
View article: Performance analyses of step-counting algorithms using wrist accelerometry
Performance analyses of step-counting algorithms using wrist accelerometry Open
Step count is one of the most used real-world (RW) outcomes for understanding physical functioning, activity, and overall quality of life. In the current investigation, we systematically evaluated the performances of modern wrist-accelerom…
View article: Performance analyses of step-counting algorithms using wrist accelerometry
Performance analyses of step-counting algorithms using wrist accelerometry Open
Step count is one of the most used real-world (RW) outcomes for understanding physical functioning, activity, and overall quality of life. In the current investigation, we systematically evaluated the performances of modern wrist-accelerom…
View article: Photoplethysmography-Based Blood Pressure Monitoring Could Improve Patient Outcome during Anesthesia Induction
Photoplethysmography-Based Blood Pressure Monitoring Could Improve Patient Outcome during Anesthesia Induction Open
During anesthesia, noncritical patients are routinely monitored via noninvasive cuff-based blood pressure (BP) monitors. Due to the noncontinuous nature of the monitoring, the BP values of the patient remain unavailable between consecutive…
View article: Proof-of-Concept Study for Reflectance Pulse Oximetry Using Optical-Fibre-Based Sensors
Proof-of-Concept Study for Reflectance Pulse Oximetry Using Optical-Fibre-Based Sensors Open
Optical fibres enable to design of new textile-based sensors for an unobtrusive, continuous, and long-term acquisition of photoplethysmography (PPG) signals. However, no research has been done about the accuracy of measuring blood oxygen s…
View article: Comparability of a Blood-Pressure-Monitoring Smartphone Application with Conventional Measurements—A Pilot Study
Comparability of a Blood-Pressure-Monitoring Smartphone Application with Conventional Measurements—A Pilot Study Open
(1) Background: New cuffless technologies attempting blood-pressure measurements (BPM) offer possibilities to improve hypertension awareness and control. The aim of this study was to compare a smartphone application (app)-based algorithm w…
View article: Smartphone based blood pressure measurement: accuracy of the OptiBP mobile application according to the AAMI/ESH/ISO universal validation protocol.
Smartphone based blood pressure measurement: accuracy of the OptiBP mobile application according to the AAMI/ESH/ISO universal validation protocol. Open
The smartphone embedded OptiBP cuffless mobile application fulfills the validation requirements of AAMI/ESH/ISO universal standards in a general population for the measurement of SBP and DBP.
View article: Generative Pre-Trained Transformer for Cardiac Abnormality Detection
Generative Pre-Trained Transformer for Cardiac Abnormality Detection Open
ECG heartbeat classification plays a vital role in diagnosis of cardiac arrhythmia. The goal of the Physionet/CinC 2021 challenge was to accurately classify clinical diagnosis based on 12, 6, 4, 3 or 2-lead ECG recordings in order to aid d…
View article: Pilot study of comparability of a smartphone blood pressure monitoring algorithm to conventional cuff-based blood pressure measurements
Pilot study of comparability of a smartphone blood pressure monitoring algorithm to conventional cuff-based blood pressure measurements Open
Background/Introduction There is a growing market for smartphone applications (apps), offering medical assessments such as blood pressure measurements (BPM). These apps have the potential to improve blood pressure (BP) control by making BP…
View article: Interbeat Interval Detection from Synthetic Photoplethysmography Signals
Interbeat Interval Detection from Synthetic Photoplethysmography Signals Open
With the increased presence of wearables, photoplethysmography (PPG) is a promising alternative to electrocardiography (ECG) for the monitoring of physiological parameters related to cardiovascular diseases. However, the evaluation of PPG-…