Title: A digital portal for early heart attack risk assessment using human health data integration and ECG images

Authors: Seema Jogad; Sneh Gupta; Julima Jain

Addresses: Mangalmay Institute of Management and Technology, Plot No. 8 & 9, Knowledge Park-II, Greater Noida, Uttar Pradesh, India ' Bennett University, Plot Nos 8-11, TechZone II, Greater Noida, Uttar Pradesh, India ' Bennett University, Plot Nos 8-11, TechZone II, Greater Noida, Uttar Pradesh, India

Abstract: This research paper presents the development of an innovative web-based heart attack prediction portal. It uses electrocardiogram (ECG) data and manually entered patient information to assess the possibility of a heart attack. This portal is designed with a user-friendly interface so that patients and healthcare provider can upload ECG images for analysis. It extracts key features such as beats per minute (BPM) and heart rate variations. In addition to ECG data, users will also need to give information about their health, blood pressure, age, family history of heart diseases, cholesterol levels and lifestyle factors such as smoking and exercise habits. This heart attack prediction portal may include additional health measures like real-time blood oxygen levels or integrated and wearable technology by expanding access to predictive analytics this tool not only provides individual tracking services but also includes broader cardiovascular health assessments in hospitals and remote care facilities. By developing early detection and prevention strategies this heart attack assessment portal is an important step in making predictive cardiovascular surveillance more accessible, effective and an important part of preventive healthcare.

Keywords: heart attack; ECG; manual detection; health information; digital health; beats per minute; BPM.

DOI: 10.1504/IJEH.2026.156180

International Journal of Electronic Healthcare, 2026 Vol.14 No.3, pp.264 - 279

Received: 21 Jul 2025
Accepted: 07 Apr 2026
Published online: 07 Sep 2026 *

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