Smartphone-Based Ecological Momentary Assessment for Collecting Pain and Function Data for Those with Low Back Pain

Autor: Ekjyot Kaur, Pari Delir Haghighi, Flavia M. Cicuttini, Donna M. Urquhart

Publikováno v: Sensors, Vol 22, Iss 18, p 7095 (2022)

Smartphone-based ecological momentary assessment (EMA) methods are widely used for data collection and monitoring in healthcare but their uptake clinically has been limited. Low back pain, a condition with limited effective treatments, has the potent

Externí odkaz: https://doaj.org/article/d8008c49798c418fa9ec91939d84a902

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Analysis of Potential Shift to Low-Carbon Urban Travel Modes: A Computational Framework Based on High-Resolution Smartphone Data

Autor: Bagheri Majdabadi, Mehrdad, Mladenovic, Milos, Kosonen, Iisakki, Nurminen, Jukka K.

Publikováno v: Sustainability, Vol 12, Iss 5901, p 5901 (2020)

Given the necessity to understand the modal shift potentials at the level of individual travel times, emissions, and physically active travel distances, there is a need for accurately computing such potentials from disaggregated data collection. Desp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::372ae4961941ff7d5953d35dfcc9204f
http://hdl.handle.net/10138/318420

MobiQ: A modular Android application for collecting social interaction, repeated survey, GPS and photographic data

Autor: Geraldine Macdonald, Paul S. Ell, Michael Loughlin, Mark McCann, Helen McAneney, Leeanne O'Hara, Sakir Sezer, Robert Miller, John Moriarty, Suleiman Y. Yerima, Mark A. Tully

Publikováno v: Yerima, S, Loughlin, M, Sezer, S, Moriarty, J, McCann, M, McAneney, H, O'Hara, L, Tully, M, Ell, P, Miller, R & Macdonald, G 2018, ' MobiQ: A modular Android application for collecting social interaction, repeated survey, GPS and photographic data. ', SoftwareX, vol. 7, pp. 143-149 . https://doi.org/10.1016/j.softx.2018.04.006
SoftwareX, Vol 7, Iss, Pp 143-149 (2018)

The MobiQ app for Android smartphones is a feature-rich application enabling a novel approach to data collection for longitudinal surveys. It combines continuous automatic background data collection with user supplied data. It can prompt users to com

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59d743d7c45b83b68382c1bbeab38aa3
https://pure.qub.ac.uk/en/publications/mobiq-a-modular-android-application-for-collecting-social-interaction-repeated-survey-gps-and-photographic-data(8755ce2c-734a-4a8e-a962-ebf67e98c130).html