Our proposal consist on monitorize elders while performing Activities of Daily Living (ADLs) with different sensors and wearables in order to assess some health diseases or to alert about some symptoms.

Elders, caregivers and health professionals could access the analyzed information with a personalized application.

We propose to use microservices to collect sensory data (combined with other types of data) and to use machine learning algorithms to analyzed the data (also exposed as microservices).

MIoT-Health is a research project funded by the Ministry of Science and Innovation (Agencia Estatal de Investigación). ref: PID2019-109644RB-I00.

Web of the Project: https://sites.google.com/go.ugr.es/miot-health/home

Related publications:

Garcia-Moreno, F. M., Bermudez-Edo, M., Rodríguez-García, E., Pérez-Mármol, J. M., Garrido, J. L., & Rodríguez-Fórtiz, M. J. (2022). A machine learning approach for semi-automatic assessment of IADL dependence in older adults with wearable sensors. International journal of medical informatics, 157, 104625.

Garcia-Moreno, F.M.; Bermudez-Edo, M.; Garrido, J.L.; Rodríguez-Fórtiz, M.J. (2020) Reducing Response Time in Motor Imagery Using A Headband and Deep Learning. Sensors, 20(23), 6730. https://doi.org/10.3390/s20236730 JCR: Q1.  https://www.mdpi.com/1424-8220/20/23/6730

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. 

García-Moreno, F. M., Rodríguez-García, E., Rodríguez-Fórtiz, M. J., Garrido, J. L., Bermúdez-Edo, M., Villaverde-Gutiérrez, C., & Pérez-Mármol, J. M. (2019). Designing a smart mobile health system for ecological frailty assessment in elderly. In Multidisciplinary Digital Publishing Institute Proceedings (Vol. 31, No. 1, p. 41).