Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Angela Chieh"'
Autor:
Mehdi Menai, Benoit Brouard, Matthieu Vegreville, Angela Chieh, Nicolas Schmidt, Jean-Michel Oppert, Hélène Lelong, Paul D. Loprinzi
Publikováno v:
Health Promotion Perspectives, Vol 7, Iss 4, Pp 190-196 (2017)
Background: We examined the cross-sectional and longitudinal associations of objectively measured physical activity (step counts) and blood pressure (BP) among adults spanning 37countries.Methods: Across 37 countries, we used data from a pool of 9238
Externí odkaz:
https://doaj.org/article/24c4f1420a72475686be979126a27b70
Autor:
Eric J. Topol, Angela Chieh, Giorgio Quer, Alexis Normand, Nima Nikzad, Steven R. Steinhubl, Matthieu Vegreville
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 22:1691-1698
Hypertension is one of the greatest contributors to premature morbidity and mortality worldwide. It has been demonstrated that lowering blood pressure (BP) by just a few mmHg can bring substantial clinical benefits, reducing the risk of stroke and is
Autor:
Alexandra Calais, Suzanne Lanckriet, Jean-Michel Lecerf, Amar Djouak, Angela Chieh, Elisabeth Brissieux, Martine Duclos, Elise Dekneudt, Julie Mayer, Jean-Michel Borys, Alexis Normand, Caroline Bournez, Julie Penin, Pierre Richard, Coralie Schnebelen-Berthier, Arnaud Jaruga
Publikováno v:
Journal of Physical Activity Research. 2:50-60
Objective: Fewer than 10% of French children meet the WHO recommendations for physical activity (PA). As engaging in play activities is a key way to promote PA in children, we evaluated the effect of a sports kit called “Le Sport Ca Me Dit” (“S
Autor:
Nicholas D. Lane, Matthieu Vegreville, Gabriella M. Harari, Angela Chieh, Catherine Tong, Otmane Bellahsen, Eva Roitmann
Publikováno v:
MobiSys
We present the first large-scale (9270-user) study of data from both mobile and networked appliances for Big-Five personality inference. We correlate aggregated behavioral and physical health features with personalities, and perform binary classifica
Autor:
Steven R. Steinhubl, Danielle Marie Dufek, Otmane Bellahsen, Nima Nikzad, Brian D. Modena, Nathan Parikh, Eric J. Topol, Angela Chieh, Gail S. Ebner
Publikováno v:
Hypertension (Dallas, Tex. : 1979). 72(2)
Cardiovascular disease remains the leading cause of death and disease worldwide. As demands on an already resource-constrained healthcare system intensify, disease prevention in the future will likely depend on out-of-office monitoring of cardiovascu
Publikováno v:
Journal de medecine vasculaire. 43(4)
Summary Background According to the World Health Organization, individuals should walk 10,000 per day. Our aim was to determine the factors influencing this objective by using connected activity trackers. Methods Anonymized data of 10,000 regular use
Autor:
Angela Chieh, Eva Roitmann
Publikováno v:
European Heart Journal. 38
Autor:
Nicolas Schmidt, Paul D. Loprinzi, Mehdi Menai, Jean-Michel Oppert, Angela Chieh, Matthieu Vegreville, B. Brouard, Hélène Lelong
Publikováno v:
Health Promotion Perspectives
Health Promotion Perspectives, Vol 7, Iss 4, Pp 190-196 (2017)
Health Promotion Perspectives, Vol 7, Iss 4, Pp 190-196 (2017)
Background: We examined the cross-sectional and longitudinal associations of objectively-measured physical activity (step counts) and blood pressure (BP) among adults spanning 37 countries. Methods: Across 37 countries, we used data from a pool of 92
Autor:
Petar Veličković, Nicholas D. Lane, Angela Chieh, Sourav Bhattacharya, Matthieu Vegreville, Otmane Bellahsen
Publikováno v:
PervasiveHealth
People are naturally sensitive to the sharing of their health data collected by various connected consumer devices (e.g., smart scales, sleep trackers) with third parties. However, sharing this data to compute aggregate statistics and comparisons is
Autor:
Nicholas D. Lane, Angela Chieh, Petar Veličković, Edgar Liberis, Pietro Liò, Otmane Bellahsen, Sourav Bhattacharya, Laurynas Karazija, Matthieu Vegreville
Publikováno v:
PervasiveHealth
We analyse multimodal time-series data corresponding to weight, sleep and steps measurements. We focus on predicting whether a user will successfully achieve his/her weight objective. For this, we design several deep long short-term memory (LSTM) arc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c26175385a7fb3517a1eab2478546824