Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Varicose veins, a common chronic venous disorder, affect a large portion of the global population, often leading to pain, swelling, and complications such as ulceration or thrombosis. Traditional treatments, including compression stockings and surgical interventions, offer limited adaptability and lack real-time monitoring, which hinders timely intervention and personalized care. This project proposes an IoT-enabled smart therapeutic system designed to address these limitations by integrating real-time diagnostics and automated therapy.
The system incorporates multiple sensors—temperature, force, accelerometer, and pulse—to monitor venous health dynamically. The ESP32 microcontroller acts as the central processing unit, transmitting data to a cloud platform for remote monitoring. The therapeutic unit includes hot/cold Peltier modules and a vibration motor, which are controlled based on the sensor inputs. Real-time feedback is provided via an LCD display, ensuring users stay informed and engaged.
This system offers a cost-effective, wearable, and non-invasive solution for varicose vein management, combining technology and therapy in a compact, user-friendly device. The system improves patient compliance, enables early detection of complications, and reduces hospital visits—paving the way for personalized, remote, and proactive healthcare.
"IoT-Based Smart Therapeutic System For Varicose Veins Management", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.a854-a857, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505100.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator