IOT Based Varicose Vein Diagnosis System and Therapy

Varicose veins are a widespread vascular disorder, particularly impacting the lower limbs due to impaired blood flow and valve dysfunction, often resulting in pain, swelling, and potential complications if untreated. Conventional diagnosis demands clinical visits, advanced equipment, and skilled personnel, limiting accessibility for rural populations. This project presents an IoT-based varicose vein diagnosis and therapy system designed for continuous, real-time monitoring and automated intervention. By integrating sensors for heart rate, SpO2, temperature, and muscle activity with a Raspberry Pi Pico W controller, the system analyzes physiological data to detect symptomatic changes and initiate therapeutic responses such as vibration and cooling treatments. Real-time alerts via email enhance timely medical intervention. The system aims to enable early diagnosis, personalized symptom management, and improved patient outcomes, reducing reliance on hospital infrastructure and expanding access to care for affected individuals.