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Cano, J.; Fácila, L.; Gracia-Baena, JM.; Zangróniz, R.; Alcaraz, R.; Rieta, JJ. (2022). The Relevance of Calibration in Machine Learning-Based Hypertension Risk Assessment Combining Photoplethysmography and Electrocardiography. Biosensors. 12(5):1-14. https://doi.org/10.3390/bios12050289
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/190113
Título: | The Relevance of Calibration in Machine Learning-Based Hypertension Risk Assessment Combining Photoplethysmography and Electrocardiography | |
Autor: | Cano, Jesús Fácila, Lorenzo Gracia-Baena, Juan M. Zangróniz, Roberto Alcaraz, Raúl | |
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[EN] The detection of hypertension (HT) is of great importance for the early diagnosis of cardiovascular diseases (CVDs), as subjects with high blood pressure (BP) are asymptomatic until advanced stages of the disease. The ...[+]
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Derechos de uso: | Reconocimiento (by) | |
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Versión del editor: | https://doi.org/10.3390/bios12050289 | |
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This research received financial support from grants PID2021-00X128525-IV0, PID2021123804OB-I00 and TED2021-129996B-I00 of the Spanish Government 10.13039/501100011033 jointly with the European Regional Development Fund ...[+]
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