Technological Model for monitoring and analysis of the level of Cardiac Stress in patients of Cardiac Risk using wearables

Alfredo Rasmussen, Bruno Albin, Jimmy Armas-Aguirre

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

In this paper, an e-health monitoring model is proposed to the wellbeing of high-risk cardiac patients. The proposed model allows the detection of anomalies in cardiac behavior by analyzing the information obtained from a wearable. The model is composed of 4 phases that go from the data collection with a wearable and smart phone application to the visualization and analysis of the data to aid medical decision making. A pilot study was conducted with 5 patients who met 3 of the 7 risk factors for a heart attack and one presented supraventricular arrhythmia during the study. Practical and technical implications are discussed.

Idioma originalInglés
Título de la publicación alojadaSHIRCON 2019 - 2019 IEEE Sciences and Humanities International Research Conference
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728138183
DOI
EstadoPublicada - nov. 2019
Evento2019 IEEE Sciences and Humanities International Research Conference, SHIRCON 2019 - Lima, Perú
Duración: 13 nov. 201915 nov. 2019

Serie de la publicación

NombreSHIRCON 2019 - 2019 IEEE Sciences and Humanities International Research Conference

Conferencia

Conferencia2019 IEEE Sciences and Humanities International Research Conference, SHIRCON 2019
País/TerritorioPerú
CiudadLima
Período13/11/1915/11/19

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