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An integral software solution to collect data from wearable devices with Tizen Operating System

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TIZENSOR

License: MIT GitHub all releases

DOI:10.3390/s20123427 DOI:10.1016/j.ijmedinf.2021.104625


An integral software solution to collect data from devices with Tizen Operating System. This solution consists of 3 software apps:

Use-case overview

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  • LIBLEMQHTTP
    • Click on this button to download GitHub all releases
    • We also appreciate your support downloading it on ZENODO site: DOI
  • SmartwatchAPP
    • Click on this button to download GitHub all releases
    • We also appreciate your support downloading it on ZENODO site: DOI
  • iOSAPP
    • Click on this button to download GitHub all releases
    • We also appreciate your support downloading it on ZENODO site: DOI

Please, cite these research work:

DOI:10.3390/s20123427

Garcia-Moreno, F.M.; Bermudez-Edo, M.; Garrido, J.L.; Rodríguez-García, E.; Pérez-Mármol, J.M.; Rodríguez-Fórtiz, M.J. "A Microservices e-Health System for Ecological Frailty Assessment Using Wearables". Sensors 2020, 20, 3427. https://doi.org/10.3390/s20123427

DOI:10.1016/j.ijmedinf.2021.104625

Garcia-Moreno, F.M.; Bermudez-Edo, M.; Rodríguez-García, E.; Pérez-Mármol, J.M.; Garrido, J.L.; Rodríguez-Fórtiz, M.J. "A machine learning approach for semi-automatic assessment of IADL dependence in older adults with wearable sensors", International Journal of Medical Informatics, Volume 157, 2022, 104625, ISSN 1386-5056. https://doi.org/10.1016/j.ijmedinf.2021.104625

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