International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 12 | Dec 2025
p-ISSN: 2395-0072
www.irjet.net
Smart Health Watch For Stroke Detection Rajeshwari Kisan 1 Apoorva K2, Ashwini B3, Vinayak C4, Komal R5 1Assistant Professor, S G Balekundri Institute of Technology, Belagavi, Karnataka, India 2Student, S G Balekundri Institute of Technology, Belagavi, Karnataka, India 3Student, S G Balekundri Institute of Technology, Belagavi, Karnataka, India 4Student, S G Balekundri Institute of Technology, Belagavi, Karnataka, India
5Student, S G Balekundri Institute of Technology, Belagavi, Karnataka, India ---------------------------------------------------------------------***------------------------------------------------------------------stroke risk monitoring in both home-based and clinical Abstract - Stroke and cardiac emergencies are often
environments.
preceded by a sudden and unnoticed rise in blood pressure. Early identification of abnormal BP levels can help prevent severe health complications. This project proposes an IoTbased Stroke Detection System using an ESP8266 microcontroller and a digital blood pressure (BP) module. The system measures systolic, diastolic, and pulse values and displays them locally on an LCD module. Based on BP threshold classification, the ESP8266 sends email notifications to the doctor using the Blynk IoT platform. An alert message is shared to help healthcare providers take timely action. The system therefore, supports early stroke risk detection through automatic monitoring and notification. The system continuously measures systolic, diastolic, and pulse values and displays them locally on an LCD module for immediate visibility. Based on BP threshold classification, the ESP8266 automatically sends email notifications to the concerned doctor using the Blynk IoT platform whenever abnormal conditions are detected. This real-time alert mechanism assists healthcare providers in taking timely preventive or emergency actions. The proposed system supports early stroke risk detection through continuous monitoring, automatic classification, and instant notification. Stroke and cardiovascular emergencies remain one of the leading causes of death and long-term disability across the world. A major contributing factor to stroke is prolonged hypertension or sudden abnormal changes in blood pressure that often go unnoticed. Continuous monitoring of blood pressure plays a crucial role in early diagnosis and prevention of severe complications. This project presents a Smart Health Watch for Stroke Detection based on Internet of Things (IoT) technology using an ESP8266 microcontroller and a digital blood pressure monitoring module. The system continuously measures systolic pressure, diastolic pressure, and pulse rate, and displays the values locally on an LCD screen for immediate awareness. The collected data is analyzed using predefined medical thresholds to detect abnormal BP conditions. When an abnormal condition is detected, the system automatically sends an email alert to the concerned doctor through the Blynk IoT platform. This proactive alert mechanism enables early medical intervention, reduces emergency response time, and enhances patient safety. The proposed system offers a low-cost, reliable, and scalable solution for real-time
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Impact Factor value: 8.315
Keywords: Abnormal, Pulse value, Blynk IOT, email notification, Stroke detection.
1. INTRODUCTION Strokes often occur due to uncontrolled or rising blood pressure. Most patients do not monitor their BP throughout the day, which makes early detection difficult. Regular hospital-based monitoring is inconvenient, and manual measurement cannot capture sudden fluctuations. To address this, the proposed project uses IoT-assisted automatic alerting. A digital BP module records the patient’s BP at the wrist and sends the values to the ESP8266. The readings are displayed on an LCD screen for local monitoring. If the systolic value falls outside the normal range, the system categorizes the condition and instantly sends an email alert to the doctor through the Blynk platform. This timely notification helps identify a possible stroke risk in advance. To address these challenges, the proposed project introduces a Smart Health Watch for Stroke Detection using IoT-assisted automatic monitoring and alerting. A digital BP module worn on the wrist records the patient’s blood pressure parameters and transmits them to the ESP8266 microcontroller. The measured values are displayed on an LCD screen for local monitoring. When the systolic BP falls outside predefined safe limits, the system categorizes the condition and instantly sends an email alert to the doctor through the Blynk IoT platform. This timely notification enables early medical intervention and significantly reduces the risk of stroke-related complications. Traditional BP monitoring methods are largely manual and hospital-centric, requiring frequent visits to healthcare centers. These methods are inconvenient for elderly patients, individuals with mobility issues, and people living in rural areas. Moreover, manual measurements do not provide realtime alerts during critical situations. With advancements in IoT and wearable technology, it is now possible to design smart healthcare systems that continuously monitor vital parameters and provide instant alerts. The Smart Health Watch for Stroke Detection aims to bridge this gap by providing an automated, wearable, and IoT-enabled solution for continuous BP monitoring. By integrating a digital BP
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