The increasing prevalence of diabetes worldwide necessitates the advancement of blood glucose monitoring technologies. Traditional methods, which require frequent blood sampling, can be inconvenient and painful for patients. Consequently, there has been a significant shift towards continuous monitoring solutions. Recent advancements in glucose sensors, particularly non-invasive methods that assess blood glucose levels through tears, saliva, and sweat, show considerable promise in enhancing patient comfort and accuracy. Although implantable sensors may reduce the frequency of blood samples, their invasive nature and need for regular replacements pose challenges. This research focuses on hydrogel-based pressure sensors that effectively convert physical changes into electrical signals, thereby providing a wireless and efficient approach to glucose monitoring. These innovations enhance sensitivity and stability and facilitate real-time monitoring, paving the way for more sophisticated health systems integrated with the Internet of Things (IoT). Ultimately, this study aims to improve diabetes management and patient care through non-invasive solutions.

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A Low-Cost Hydrogel-Based Pressure Sensor for the Glucose Monitoring System

  • Mohammedhusen Manekiya,
  • Irene Dal Chiele,
  • Massimo Donelli

摘要

The increasing prevalence of diabetes worldwide necessitates the advancement of blood glucose monitoring technologies. Traditional methods, which require frequent blood sampling, can be inconvenient and painful for patients. Consequently, there has been a significant shift towards continuous monitoring solutions. Recent advancements in glucose sensors, particularly non-invasive methods that assess blood glucose levels through tears, saliva, and sweat, show considerable promise in enhancing patient comfort and accuracy. Although implantable sensors may reduce the frequency of blood samples, their invasive nature and need for regular replacements pose challenges. This research focuses on hydrogel-based pressure sensors that effectively convert physical changes into electrical signals, thereby providing a wireless and efficient approach to glucose monitoring. These innovations enhance sensitivity and stability and facilitate real-time monitoring, paving the way for more sophisticated health systems integrated with the Internet of Things (IoT). Ultimately, this study aims to improve diabetes management and patient care through non-invasive solutions.