AI Device for Cardiovascular Monitoring

The article discusses the development of an innovative Artificial Intelligence (AI)-driven device called MyoBioScan, which is designed for the early detection of cardiovascular stress. The device is a collaborative effort involving the Department of Studies in Microbiology at the Karnataka State Open University (KSOU) in Mysuru and an Indian-origin researcher, Ravichandra Mulpuri, based in the United States. Key details and implications of the MyoBioScan project are outlined below:

• Device Overview: MyoBioScan is a non-invasive diagnostic tool, categorized as a "wearable patch," aimed at real-time monitoring of cardiovascular health by analyzing sweat for various cardiac biomarkers.

• Biomarkers: The device integrates multi-channel Electrocardiogram (ECG) acquisition with biochemical sensing of sweat to monitor prominent cardiovascular biomarkers such as troponin-I, NT-proBNP, lactate, cortisol, and pH levels. This capability allows it to capture subtle physiological changes indicative of cardiovascular stress.

• Development and Collaboration: The KSOU faculty, particularly experts Niranjan Raj and Syed Baker, played a critical role in the mentorship and validation of the device’s scientific and technical framework, effectively contributing to its design and functional relevance.

• Alert Mechanism: MyoBioScan is designed to provide three distinct signals based on the health analysis it performs: 'Normal – keep monitoring', 'Consult a medical professional', and 'Emergency'.

• Pilot Study: A pilot study evaluated the device's performance with 80 participants, including healthy individuals and those with known heart conditions like atrial fibrillation and early-stage heart failure. Results indicated that subclinical abnormalities were identified in four asymptomatic participants, which were later confirmed through clinical follow-up.

• Statistical Outcomes: Significant differences in sweat biomarker levels were observed between healthy and stressed individuals, correlating strongly with standard laboratory tests. User feedback from the study showed over 90% of participants expressed satisfaction regarding comfort, clarity of results, and interest in long-term utilization of the device.

• Publication: The results and findings related to MyoBioScan were also published in the April-June 2025 issue of the International Journal on Science and Technology (IJSAT).

• Future Potential: The device is considered to have the potential to become a cost-effective and accessible tool for the early detection and management of cardiovascular risks, thus transforming approaches in health diagnostics.

Overall, the MyoBioScan showcases a significant advancement in the intersection of technology and healthcare, addressing pressing issues in cardiovascular health with real-time data and user-friendly applications.

Key Points:

• MyoBioScan is an AI-driven device for early cardiovascular stress detection, developed in collaboration with KSOU.
• It detects cardiac biomarkers through sweat analysis, providing real-time feedback.
• The device offers three types of health signals based on user data analysis.
• A pilot study involved 80 participants; significant correlations were found between biomarker levels and health status.
• High user satisfaction was reported; over 90% showed interest in continued use of the device.
• The findings were published in IJSAT and mark a step towards accessible cardiovascular diagnostics.