TY - GEN
T1 - Control of Type 1 and 2 Diabetes in Middle-Aged Individuals at Private Clinics in Metropolitan Lima
T2 - 3rd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2023
AU - Zapata, Diego
AU - Bravo, Sofia
AU - Mansilla, Juan Pablo
N1 - Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2024
Y1 - 2024
N2 - The control of type 1 and type 2 diabetes in individuals aged 55 to 64 seeks a non-invasive alternative for continuous monitoring of blood glucose levels. In Peru, there is poor accessibility for data collection within the monitoring of this disease due to economic resources and lack of technical support. Therefore, a technological solution is proposed that integrates the use of IoT and wearable technologies, such as smartwatches, to collect and monitor real-time heart rate data, integrating the Google Fit API as our data source. This solution aims to strengthen and improve the quality of the managed data in order to facilitate the treatment of diabetic patients. The solution was validated with 20 users, of which 15 were diabetic patients and the remaining 5 were endocrinologists. For this process, they registered in the application, used it for a certain period of time to collect sufficient data, and filled out a satisfaction survey. The results obtained show that a satisfaction rate of over 75% was achieved, indicating that this technological solution allows for more accurate and continuous monitoring, facilitating self-management for patients and providing real-time information to physicians for control purposes.
AB - The control of type 1 and type 2 diabetes in individuals aged 55 to 64 seeks a non-invasive alternative for continuous monitoring of blood glucose levels. In Peru, there is poor accessibility for data collection within the monitoring of this disease due to economic resources and lack of technical support. Therefore, a technological solution is proposed that integrates the use of IoT and wearable technologies, such as smartwatches, to collect and monitor real-time heart rate data, integrating the Google Fit API as our data source. This solution aims to strengthen and improve the quality of the managed data in order to facilitate the treatment of diabetic patients. The solution was validated with 20 users, of which 15 were diabetic patients and the remaining 5 were endocrinologists. For this process, they registered in the application, used it for a certain period of time to collect sufficient data, and filled out a satisfaction survey. The results obtained show that a satisfaction rate of over 75% was achieved, indicating that this technological solution allows for more accurate and continuous monitoring, facilitating self-management for patients and providing real-time information to physicians for control purposes.
KW - continuous monitoring
KW - diabetes
KW - glucose
KW - heart rate
KW - Internet of Things (IoT)
KW - wearables
UR - https://www.scopus.com/pages/publications/85180735527
U2 - 10.1007/978-3-031-48858-0_19
DO - 10.1007/978-3-031-48858-0_19
M3 - Contribución a la conferencia
AN - SCOPUS:85180735527
SN - 9783031488573
T3 - Communications in Computer and Information Science
SP - 230
EP - 242
BT - Advanced Research in Technologies, Information, Innovation and Sustainability - 3rd International Conference, ARTIIS 2023, Proceedings
A2 - Guarda, Teresa
A2 - Portela, Filipe
A2 - Diaz-Nafria, Jose Maria
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 18 October 2023 through 20 October 2023
ER -