AI-Powered Wearable Patch Detects Early Signs of Cardiovascular Stress Through Sweat Biomarkers

The AI-powered MyoBioScan patch detects early cardiovascular stress by analyzing sweat biomarkers and ECG signals. It offers real-time alerts to help users manage heart health proactively.

Categorized in: AI News IT and Development
Published on: Jul 12, 2025
AI-Powered Wearable Patch Detects Early Signs of Cardiovascular Stress Through Sweat Biomarkers

AI-Powered Patch Detects Early Cardiovascular Stress

The Department of Studies in Microbiology at Karnataka State Open University (KSOU), Mysuru, contributed crucial expertise in creating an AI-driven device for early detection of cardiovascular stress. Developed by Ravichandra Mulpuri, a researcher based in the US, the MyoBioScan is a non-invasive wearable patch designed for real-time cardiovascular health monitoring.

This device captures subtle physiological signals to alert users about potential heart issues before they escalate. Currently in prototype and validation stages, MyoBioScan was highlighted in the April-June 2025 issue of the International Journal on Science and Technology (IJSAT).

How MyoBioScan Works

MyoBioScan combines multi-channel ECG acquisition with sweat-based biochemical sensing to monitor critical cardiac biomarkers. Experts from KSOU, including Niranjan Raj and Syed Baker, provided remote guidance in selecting and validating these biomarkers.

The wearable patch is intended for use during physical activities like running or gym workouts. It analyzes sweat for hormones and protein complexes that indicate cardiovascular stress, such as troponin-I, NT-proBNP, lactate, cortisol, and pH. These markers offer insights into heart health beyond traditional ECG readings.

Clinical Validation and User Experience

A pilot study involving 80 participants — both healthy and with diagnosed heart conditions like atrial fibrillation and early-stage heart failure — tested the device’s performance. The study detected subclinical abnormalities in four asymptomatic individuals, later confirmed by clinical follow-up.

  • Sweat biomarker levels showed significant differences between healthy and stressed individuals.
  • Results correlated strongly with laboratory standards.
  • Users reported high satisfaction with comfort, clear app feedback, and trust in the results.
  • Over 90% expressed interest in long-term use.

The device provides three alert levels based on its analysis: Normal – keep monitoring, Consult a medical professional, and Emergency. This helps users make timely decisions about their cardiovascular health.

Potential Impact on Healthcare

According to the developer, MyoBioScan could become an affordable and accessible diagnostic tool that changes how early heart risks are detected and managed. Its integration of AI with biochemical sensing offers a practical approach to continuous cardiovascular monitoring.

For IT professionals and developers interested in the intersection of AI and healthcare, this project exemplifies how AI-driven wearables can provide actionable health insights. Exploring AI applications for biosensing and real-time data analytics can open new avenues in medical device innovation.

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