A Microservices e-Health System for Ecological Frailty Assessment Using Wearables
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AuthorGarcía Moreno, Francisco Manuel; Bermúdez Edo, María del Campo; Garrido Bullejos, José Luis; Rodríguez García, Estefanía; Pérez Mármol, José Manuel; Rodríguez Fórtiz, María José
Wearable devicesSensorsMobile health systemsMicroservices architectureIoTMachine learningElderly frailty assessmentE-health
Garcia-Moreno, F. M., Bermudez-Edo, M., Garrido, J. L., Rodríguez-García, E., Pérez-Mármol, J. M., & Rodríguez-Fórtiz, M. J. (2020). A Microservices e-Health System for Ecological Frailty Assessment Using Wearables. Sensors, 20(12), 3427. [doi:10.3390/s20123427]
SponsorshipMinistry of Economy and Competitiveness from Spain MINECO/FEDER MAT2017-85999P; European Union (EU) MINECO/FEDER MAT2017-85999P; Regional Government of Andalusia Research Fund from Spain A-BIO-157-UGR-18
The population in developed countries is aging and this fact results in high elderly health costs, as well as a decrease in the number of active working members to support these costs. This could lead to a collapse of the current systems. One of the first insights of the decline in elderly people is frailty, which could be decelerated if it is detected at an early stage. Nowadays, health professionals measure frailty manually through questionnaires and tests of strength or gait focused on the physical dimension. Sensors are increasingly used to measure and monitor different e-health indicators while the user is performing Basic Activities of Daily Life (BADL). In this paper, we present a system based on microservices architecture, which collects sensory data while the older adults perform Instrumental ADLs (IADLs) in combination with BADLs. IADLs involve physical dimension, but also cognitive and social dimensions. With the sensory data we built a machine learning model to assess frailty status which outperforms the previous works that only used BADLs. Our model is accurate, ecological, non-intrusive, flexible and can help health professionals to automatically detect frailty.