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Design and Analysis for Fall Detection System Simplification
Published on: April 6, 2020
Assessment of mHealth Solutions Applied to Fall Detection for the Elderly
Fellipe Soares de Oliveira1, Camila Carvalho da Silva1, Talita Santos Pinheiro1
1Engineering, Modeling and Applied Social Sciences Center (CECS), Biomedical Engineering Graduate Program (PPGEBM), Universidade Federal do ABC (UFABC), Alameda da Universidade s/n, 09606-045 São Bernardo do Campo, SP, Brazil.
Abstract:
Mobile Health has been increasingly present in healthcare due to the wide availability of applications for smartphones, however, robust assessment methods must be considered, seeking to provide evidence for clinical practice and mHealth solutions. This research presents the assessment of applications aimed at detecting and preventing falls for the elderly, available for Android and IOS, through the Mobile App Rating Scale. Based on the results presented, it can be concluded that the fall detection and prevention applications for the elderly available for Android and IOS showed good quality after rigorous evaluation.
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