TY - GEN
T1 - IoT technological model to improve the control and monitoring of patients with eating disorders (ED)
T2 - 5th IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
AU - Leon, Claudia Shirley Donayre
AU - Casas, David Allan Villarroel
AU - Lopez, Juan Pablo Jesus Mansilla
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - According to statistics from different entities, in Peru, anorexia and bulimia are the most frequent diagnosed eating disorders (ED) every year. Therefore, this study proposes a technological model based on Internet of Things for the control and monitoring of patients with anorexia. This model will allow the control and monitoring through IoT devices that will collect patient data associated to mental, physical and nutritional health. This will allow specialists to have greater availability of patient data that on traditional methods is handled through a diary written by the patient, who does not always comply with the daily registration of these. In addition, the model provides data processing in order to give recommendations and alerts to the doctor based on the patient's data. Likewise, the study has been validated with specialists, who participated by comparing the availability, satisfaction and effectiveness of monitoring before and after using the technological model. As a result, the study shows that with the implementation of the technological model, the efficacy of the control and monitoring process increased by 52%.
AB - According to statistics from different entities, in Peru, anorexia and bulimia are the most frequent diagnosed eating disorders (ED) every year. Therefore, this study proposes a technological model based on Internet of Things for the control and monitoring of patients with anorexia. This model will allow the control and monitoring through IoT devices that will collect patient data associated to mental, physical and nutritional health. This will allow specialists to have greater availability of patient data that on traditional methods is handled through a diary written by the patient, who does not always comply with the daily registration of these. In addition, the model provides data processing in order to give recommendations and alerts to the doctor based on the patient's data. Likewise, the study has been validated with specialists, who participated by comparing the availability, satisfaction and effectiveness of monitoring before and after using the technological model. As a result, the study shows that with the implementation of the technological model, the efficacy of the control and monitoring process increased by 52%.
KW - Anorexia
KW - Bulimia
KW - Eating Disorders
KW - Healthcare
KW - IoT
KW - Monitoring
KW - Sensors
KW - Technological Model
KW - Treatment
UR - https://www.scopus.com/pages/publications/85124426946
U2 - 10.1109/SHIRCON53068.2021.9652296
DO - 10.1109/SHIRCON53068.2021.9652296
M3 - Contribución a la conferencia
AN - SCOPUS:85124426946
T3 - Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
BT - Proceedings of the 2021 IEEE Sciences and Humanities International Research Conference, SHIRCON 2021
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 November 2021 through 19 November 2021
ER -