We propose to characterize idiopathic hypersomnia (IH) sleep microarchitecture and identify clinically-relevant IH subtypes based on their microarchitecture through advanced EEG signal analyses . We will analyze 601 participants including 135 IH patients, 94 healthy controls, 223 subjects with narcolepsy and 149 patients with suspected IH but who don’t reach objective sleepiness criteria. Sleep microarchitecture […]

Les soins et services aux personnes atteintes de handicap limitant leur mobilité revêt une importance toute particulière dans notre société. Le but de ce projet est de développer un écosystème permettant un suivi de l’état de santé au quotidien de ces personnes. Pour y arriver, un fauteuil mécanisé équipé d’actuateurs et de moteurs permettant la […]

The Canadian Mental Health Association, Hamilton Branch (CMHA) is partnering with academic partners through McMaster Community Research Platform to evaluate the impact of peer-based support, a program providing mental health support for working-aged men and transitional aged youth who use substances. The program provides SMART recovery-based support to reduce the harms of substance use and […]

The community partners, Viomax and Adaptavie, have identified a need to optimize training of their staff to support the accessibility of their programming. The goal of this project is to co-create and implement training resources for staff at Viomax and Adaptavie. The training resources will be grounded in adapted physical activity, person-centered interpersonal communication (e.g., […]

Par l’analyse des pratiques en gynécologie obstétrique chez les médecins de famille québecois qui ont la possibilité du suivi de grossesse et de l’accouchement contrairement aux médecins généralistes français, je cherche à analyser les deux pratiques de soins en santé de la femme dans ces systèmes de santé différents. Le but étant de comparer afin […]

Cette suite de stages s’intègre à un projet intitulé “GRH durable du personnel du milieu de la santé œuvrant en contexte linguistique minoritaire” et vise à répondre à des enjeux stratégiques auxquels se trouve confronté le système de santé québécois. Le projet se fonde dans ses principes sur le traitement humain à la fois d’une […]

Building off of the original Healthy Bodies Scorecard project, this research aims to test the newly developed Healthy Body Scorecard tool and provide evidence of its usefulness. We will distribute the draft of the scorecard along with a feedback questionnaire for health care practitioners (HCP’s) targeting those who work with typically developing children as well […]

Infection by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) results in COVID-19, a highly heterogeneous disease ranging from being asymptomatic and mild to severe and causing death. Early screening and effective intervention for COVID-19 patients who will develop severe disease are essential to reduce the mortality rate of COVID-19 patients. Various groups have published prognostic markers […]

“Trans-mitting Care: Increasing Access to Gender-affirming Healthcare in Saskatchewan” aims to address the gap that exists in accessing gender-affirming healthcare by trans, Two-Spirit, non-binary, and gender diverse people and communities in Saskatchewan. The project will create a business plan for trans health clinic as well as policy recommendations for key decision makers concerning gender-affirming access […]

Frailty is becoming more frequent for patients and the healthcare system as the Canadian population ages. Frailty is defined by a reduction in physiological reserves, which is linked to an increased risk of mortality. Sarcopenia, or age-related loss of muscle mass and function, is a key component of frailty that can be measured. Sarcopenia can […]

The goal of this research is to give an effectively unsupervised financial fraud detection method, in which low rank recovery method is used to exploit intrinsic relationship of data samples. The benefits of our methods have several folds: (1) compared with classification-based methods, our methods can deal with the imbalance problem effectively; (2) by using […]

Swallow events classification is significant to improve the performance of swallow detection in digital health technologies. Our work consists of two major contributions: First, we perform data preprocessing techniques and transform the raw sEMG signals into feature vectors before using them to train an ML classifier. It is important for developing a data exploration project […]