IoT based Medical Assistive Device for Treating Deep Vein Thrombosis

Deep Vein Thrombosis (DVT) is a critical vascular condition characterized by the formation of blood clots in deep veins, particularly in the lower limbs, which poses significant health risks such as pulmonary embolism. Existing management methods face several challenges, including the lack of continuous real-time monitoring, patient non-compliance with preventive measures like compression stockings, and limitations of invasive treatments or anticoagulant therapies that carry risks of complications. These limitations highlight the need for innovative solutions that integrate prevention, monitoring, and intervention. It proposes a novel IoT-based medical assistive device for real-time DVT risk monitoring and therapeutic management. The system utilizes an array of sensors to track physiological parameters such as leg pressure, movement, and oxygen saturation to detect prolonged immobility—a key DVT risk factor. A PIC microcontroller processes these inputs for continuous assessment. Therapeutic interventions leverage periodic temperature variations via the Seebeck and piezoelectric effects to enhance circulation and reduce clot formation. Additionally, a mechanical vibration system mitigates inflammation and promotes blood flow. The device's IoT integration facilitates remote monitoring, enabling early detection of complications such as abnormal blood pressure, glucose levels, and oxygen saturation. With its comprehensive approach to prevention and early intervention, this assistive device addresses the gaps in existing methods and offers a proactive solution for managing DVT, particularly in high-risk populations such as sedentary individuals.

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Published
2024-12-17
DOI
https://doi.org/10.1109/icicnis64247.2024.10823183
Primary Topic
Diverse Scientific Research Studies
Type
article
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article

IoT based Medical Assistive Device for Treating Deep Vein Thrombosis

S. Senthilrani, B. Ashok Kumar, J. Rajeswari, J. Praveen et al.
Diverse Scientific Research Studies
article

IoT based Medical Assistive Device for Treating Deep Vein Thrombosis

S. Senthilrani, B. Ashok Kumar, J. Rajeswari, J. Praveen, M Chandru, K. Adhish
article en

Abstract

Deep Vein Thrombosis (DVT) is a critical vascular condition characterized by the formation of blood clots in deep veins, particularly in the lower limbs, which poses significant health risks such as pulmonary embolism. Existing management methods face several challenges, including the lack of continuous real-time monitoring, patient non-compliance with preventive measures like compression stockings, and limitations of invasive treatments or anticoagulant therapies that carry risks of complications. These limitations highlight the need for innovative solutions that integrate prevention, monitoring, and intervention. It proposes a novel IoT-based medical assistive device for real-time DVT risk monitoring and therapeutic management. The system utilizes an array of sensors to track physiological parameters such as leg pressure, movement, and oxygen saturation to detect prolonged immobility—a key DVT risk factor. A PIC microcontroller processes these inputs for continuous assessment. Therapeutic interventions leverage periodic temperature variations via the Seebeck and piezoelectric effects to enhance circulation and reduce clot formation. Additionally, a mechanical vibration system mitigates inflammation and promotes blood flow. The device's IoT integration facilitates remote monitoring, enabling early detection of complications such as abnormal blood pressure, glucose levels, and oxygen saturation. With its comprehensive approach to prevention and early intervention, this assistive device addresses the gaps in existing methods and offers a proactive solution for managing DVT, particularly in high-risk populations such as sedentary individuals.

Madurai Medical College (IN), Velammal Medical College Hospital and Research Institute (IN)
Openalex Percentile: Top 55%
Diverse Scientific Research Studies
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