frangam / wearable-sensor-ml-pipeline

Wearable Sensor Data processing and Machine Learning Pipeline design for R programmers

wearable-sensor-ml-pipeline (for R programmers)

Wearable Sensor Data processing and Machine Learning Pipeline design for R programmers

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📖 Examples

• 1 - Extract features
• 2 - Preprocess data
• 3 - Hyperparameter tuning

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Please, cite these research work:

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

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