Zobrazeno 1 - 10
of 173
pro vyhledávání: '"Mehdi Ammi"'
Autor:
Shawna Cronin, Allanah Li, Yu Qing Bai, Mehdi Ammi, William Hogg, Sabrina T. Wong, Walter P. Wodchis
Publikováno v:
BMC Primary Care, Vol 24, Iss 1, Pp 1-10 (2023)
Abstract Background Primary care surveys are a key source of evaluative data; understanding how survey respondents compare to the intended population is important to understand results in context. The objective of this study was to examine the physic
Externí odkaz:
https://doaj.org/article/c140b154d03e4716856facfb185e8241
Publikováno v:
BMC Public Health, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background The increased scrutiny on public health brought upon by the ongoing COVID-19 pandemic provides a strong impetus for a renewal of public health systems. This paper seeks to understand priorities of public health decision-makers for
Externí odkaz:
https://doaj.org/article/674bdc5e1b1d47ce9db39cfa77d84542
Autor:
Serena Zanelli, Kornelia Eveilleau, Peter H. Charlton, Mehdi Ammi, Magid Hallab, Mounim A. El Yacoubi
Publikováno v:
Frontiers in Physiology, Vol 14 (2023)
Photopletysmography (PPG) is a non-invasive and well known technology that enables the recording of the digital volume pulse (DVP). Although PPG is largely employed in research, several aspects remain unknown. One of these is represented by the lack
Externí odkaz:
https://doaj.org/article/f3b259079ff24ed38933a48cd94808c2
Publikováno v:
IEEE Access, Vol 11, Pp 57652-57665 (2023)
Photoplethysmography (PPG) is a non-invasive and cost-efficient optical technique used to assess blood volume variations in the microcirculation. PPG technology is widely used in a variety of wearable sensors to investigate the cardiovascular system.
Externí odkaz:
https://doaj.org/article/eff02dc5be9b4d85963d458f17640dc7
Autor:
Meghan O’Neill, Eric De Prophetis, Sara Allin, Andrew D. Pinto, Robert W. Smith, Erica Di Ruggiero, Robert Schwartz, Jasmine Pawa, Mehdi Ammi, Laura C. Rosella
Publikováno v:
Archives of Public Health, Vol 80, Iss 1, Pp 1-10 (2022)
Abstract Background There have been longstanding calls for public health systems transformations in many countries, including Canada. Core to these calls has been strengthening performance measurement. While advancements have been made in performance
Externí odkaz:
https://doaj.org/article/2d503052528e40e695ffc17bc285dc2e
Publikováno v:
BMJ Open, Vol 13, Iss 4 (2023)
Objectives Personality differences between doctors and patients can affect treatment outcomes. We examine these trait disparities, as well as differences across medical specialities.Design Retrospective, observational statistical analysis of secondar
Externí odkaz:
https://doaj.org/article/d12f6910206c4173affe6dbb98f4a68b
Publikováno v:
Sensors, Vol 23, Iss 22, p 9194 (2023)
Injury, hospitalization, and even death are common consequences of falling for elderly people. Therefore, early and robust identification of people at risk of recurrent falling is crucial from a preventive point of view. This study aims to evaluate t
Externí odkaz:
https://doaj.org/article/e8519b4a8f0d469a8bc359a5bced196c
Publikováno v:
IEEE Access, Vol 9, Pp 163391-163411 (2021)
In this paper, we present a new approach to use machine learning (ML) for the calibration of a physical model allowing the reproduction of the vibratory behavior of an overhead line conductor. This physical model known as Strip Theory (ST) has the ad
Externí odkaz:
https://doaj.org/article/6e6d33d0c55c47fd8ee22227e0dcd37a
Autor:
Sunita Mulpuru, Tetyana Kendzerska, Thomas Walker, Mohammad Khalil, Brandon Robinson, Jodi D Edwards, Chris L Pettit, Dominique Poirel, John M Daly, Mehdi Ammi, Peter J Taillon, Rimple Sandhu, Shirley Mills, Valerie Percival, Victorita Dolean, Abhijit Sarkar
Publikováno v:
BMJ Open, Vol 12, Iss 3 (2022)
Introduction The complex dynamics of the coronavirus disease 2019 (COVID-19) pandemic has made obtaining reliable long-term forecasts of the disease progression difficult. Simple mechanistic models with deterministic parameters are useful for short-t
Externí odkaz:
https://doaj.org/article/ad99dbc9afae49b2a726d9d92f6710e2
Towards Real-Time 3D Editable Model Generation for Existing Indoor Building Environments on a Tablet
Publikováno v:
Frontiers in Virtual Reality, Vol 3 (2022)
This paper describes a mobile application that builds and updates a 3D model of an indoor environment, including walls, floor and openings, by a simple scan performed using a tablet equipped with a depth sensor. This algorithm is fully implemented on
Externí odkaz:
https://doaj.org/article/17343ffc5b6d45c288f251b35e9d7871