IoT Enabled Diabetic Health Surveillance

The rising incidence of diabetes among children and adults presents considerable health challenges, particularly for young patients navigating the complexities of blood glucose management. Traditional glucose monitoring devices, while effective, often come with drawbacks such as high costs and the inconvenience of frequent sensor replacements. To address these limitations, we have developed the "Diabetic Health Surveillance" System, which employs advanced IoT technology. This innovative system utilizes GSR(Galvanic Skin Response) sensors to monitor physiological indicators relevant to diabetes management, including stress levels and physical activity. The inclusion of an ESP32 camera enhances functionality by recognizing different images of retinopathy, helping to determine whether a patient has diabetes. The system's design focuses on providing non-intrusive and continuous monitoring, making it particularly beneficial for pediatric and elderly patients. By integrating these features, users can gain deeper insights into their condition and manage their diabetes more effectively. With cloud-based data storage, the system ensures a user-friendly experience and reduces the cost and maintenance burdens of traditional solutions. This system contributes to United Nations Sustainable Development by promoting well-being for all ages through a cost-effective, efficient solution for diabetes management.

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Published
2024-12-04
DOI
https://doi.org/10.1109/icacrs62842.2024.10841749
Primary Topic
Artificial Intelligence in Healthcare
Type
article
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article

IoT Enabled Diabetic Health Surveillance

Nicholas J. Shaheen, Kalpana Murugan, P. Sai Prathyusha, Arepalli Sahithi et al.
Artificial Intelligence in Healthcare
article

IoT Enabled Diabetic Health Surveillance

Nicholas J. Shaheen, Kalpana Murugan, P. Sai Prathyusha, Arepalli Sahithi, Malle Ashalatha
article en

Abstract

The rising incidence of diabetes among children and adults presents considerable health challenges, particularly for young patients navigating the complexities of blood glucose management. Traditional glucose monitoring devices, while effective, often come with drawbacks such as high costs and the inconvenience of frequent sensor replacements. To address these limitations, we have developed the "Diabetic Health Surveillance" System, which employs advanced IoT technology. This innovative system utilizes GSR(Galvanic Skin Response) sensors to monitor physiological indicators relevant to diabetes management, including stress levels and physical activity. The inclusion of an ESP32 camera enhances functionality by recognizing different images of retinopathy, helping to determine whether a patient has diabetes. The system's design focuses on providing non-intrusive and continuous monitoring, making it particularly beneficial for pediatric and elderly patients. By integrating these features, users can gain deeper insights into their condition and manage their diabetes more effectively. With cloud-based data storage, the system ensures a user-friendly experience and reduces the cost and maintenance burdens of traditional solutions. This system contributes to United Nations Sustainable Development by promoting well-being for all ages through a cost-effective, efficient solution for diabetes management.

Kalasalingam Academy of Research and Education (IN)
Openalex Percentile: Top 64%
Artificial Intelligence in Healthcare
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IoT Enabled Diabetic Health Surveillance — Nicholas J. Shaheen, Kalpana Murugan, et al. · (2024) | TGRS Research Map | TGRS