The Physical Activity, Sport and Health (PASH) research group aims to improve knowledge on the beneficial effects of physical activity on individuals’ health with and without disease and of any age, as well as on the mechanisms leading to the development of sports injury.
Prediction and prevention of sport injuries (e.g. running-related injuries)
Measurement of physical activity, sedentary behaviour, sleep and fitness in the general population, as well as in different therapeutic contexts (e.g. cancer)
Identification of metrics derived from wearable physical activity monitors as digital biomarkers of individuals’ health
With its research, the Physical Activity, Sport and Health group aims to:
Bring the lab to the field through the identification of promising wearable devices and meaningful metrics for human movement analysis and physical activity monitoring in real world conditions.
Improve the understanding of the etiology of sports injuries, a prerequisite for the development of innovative evidence-based preventive measures.
Make use of innovative Machine Learning methods and combine them with expert knowledge towards meaningful applications to analyse sports activity and prevent injuries.
Develop new methods to describe the 24-hour physical activity patterns using raw accelerometry data and define multidimensional profiles constructed across the key physical activity dimensions.
Investigate the dose-response relationships between physical activity dimensions and the progression of some diseases, their symptoms and the risk of relapse in specific population of patients (e.g. people with multiple sclerosis, diabetes, cancer).
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
5 months 27 days
This cookie is set by the Google recaptcha service to identify bots to protect the website against malicious spam attacks.
Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category .
Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Analytics" category .
The cookie is set by the GDPR Cookie Consent plugin to record the user consent for the cookies in the category "Functional".
Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Necessary" category .
Set by the GDPR Cookie Consent plugin, this cookie is used to store the user consent for cookies in the category "Others".
Set by the GDPR Cookie Consent plugin, this cookie is used to store the user consent for cookies in the category "Performance".
Records the default button state of the corresponding category & the status of CCPA. It works only in coordination with the primary cookie.
The JSESSIONID cookie is used by New Relic to store a session identifier so that New Relic can monitor session counts for an application.
This cookie is native to PHP applications. The cookie is used to store and identify a users' unique session ID for the purpose of managing user session on the website. The cookie is a session cookies and is deleted when all the browser windows are closed.
Analytical cookies are used to understand how visitors interact with the website. These cookies provide information on metrics such as number of visitors, bounce rate, traffic source, etc.
The _ga cookie, installed by Google Analytics, calculates visitor, session and campaign data and also keeps track of site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognize unique visitors.
This cookie is installed by Google Analytics.
Set by Google to distinguish users.
Installed by Google Analytics, _gid cookie stores information on how visitors use a website, while also creating an analytics report of the website's performance. Some of the data that are collected include the number of visitors, their source, and the pages they visit anonymously.
Linkedin set this cookie to store information about the time a sync took place with the lms_analytics cookie.
YouTube sets this cookie via embedded youtube-videos and registers anonymous statistical data.