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Listar por autor "Cano Serrano, Jesús"

Mostrando ítems 1-9 de 9

Application of Deep Neural Network Models for Blood Pressure Classification based on Photoplethysmograpic Recordings

Cano, Jesús; Fácila, Lorenzo; Langley, Philip; Zangróniz, Roberto; Alcaraz, Raúl; Rieta, J J (IEEE, 2021-11-19)

[EN] The measurement of blood pressure (BP) in an uninterrupted and comfortable way for the subject is essential for early diagnosis and monitoring of cardiovascular diseases (CVD). In fact, hypertension is the main risk ...
Desarrollo de un método de estimación de la presión arterial combinando fotopletismografía y electrocardiografía

Cano Serrano, Jesús (Universitat Politècnica de València, 2020-09-15)

[ES] Las enfermedades cardiovasculares son una de las principales causas de muerte en el mundo y lahipertensión arterial es su principal factor de riesgo. La mejor forma de evitar estas complicacioneses aplicar medidas de ...
Discriminación Mejorada Entre Personas Sanas e Hipertensas Combinando Fotopletismografía y Electrocardiografía

Cano Serrano, J.; Alcaraz Martinez, R.; Rieta, J J (Sociedad Española de Ingeniería Biomédica, 2020-11-27)

[ES] Las enfermedades cardiovasculares son una de las principales causas de muerte, siendo la hipertensión arterial (HTA) su principal factor de riesgo. Sus complicaciones pueden evitarse con un tratamiento temprano, pero ...
Estudio y evaluación del riesgo de hipertensión a partir de registros fotopletismográficos utilizando clasificadores de inteligencia artificial

Cano Serrano, Jesús (Universitat Politècnica de València, 2021-09-21)

[ES] La hipertensión es uno de los principales factores de riesgo de muchas enfermedades cardiovasculares, la principal causa de muerte en el mundo. El control regular de la presión arterial es crucial para las personas ...
Hypertension Risk Assessment from Photoplethysmographic Recordings Using Deep Learning Classifiers

Cano, Jesús; Bertomeu-González, Vicente; Fácila, Lorenzo; Zangróniz, Roberto; Alcaraz, Raúl; Rieta, J J (2021-09-15)

[EN] Regular monitoring of blood pressure (BP) is essential for early detection of cardiovascular diseases caused by hypertension, a potentially deadly condition without symptoms in its first stages. This study investigates ...
Improved Discrimination Between Healthy and Hypertensive Individuals Combining Photoplethysmography and Electrocardiography

Cano, Jesús; Hornero, Fernando; Quesada, Aurelio; Martínez-Rodrigo, Arturo; Alcaraz, Raúl; Rieta, J J (2021-09-15)

[EN] Cardiovascular disease is one of the leading causes of death, with hypertension (HT) being its main risk factor. Its complications can be avoided with early treatment, but since these patients do not present any ...
Improved Hypertension Risk Assessment with Photoplethysmographic Recordings Combining Deep Learning and Calibration

Cano-Serrano, Jesús; Bertomeu-González, Vicente; Fácila, Lorenzo; Hornenro, Fernando; Alcaraz, Raúl; Rieta, J J (MDPI AG, 2023-12-18)

[EN] Hypertension, a primary risk factor for various cardiovascular diseases, is a global health concern. Early identification and effective management of hypertensive individuals are vital for reducing associated health ...
Novel Photoplethysmographic and Electrocardiographic Features for Enhanced Detection of Hypertensive Individuals

Cano, Jesús; Quesada, Aurelio; Ravelli, Flavia; Zangróniz, Roberto; Alcaraz, Raúl; Rieta, J J (IEEE, 2021-11-19)

[EN] Hypertension is a major risk factor for many cardiovascular diseases, which are the leading cause of death worldwide. Regular monitoring is essential to provide early diagnosis since most patients with elevated blood ...
The Relevance of Calibration in Machine Learning-Based Hypertension Risk Assessment Combining Photoplethysmography and Electrocardiography

Cano, Jesús; Fácila, Lorenzo; Gracia-Baena, Juan M.; Zangróniz, Roberto; Alcaraz, Raúl; Rieta, J J (MDPI AG, 2022-05)

[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 ...