vTitan Launches a Made-In-India AI-Powered Wearable Cardiac Monitor

The system further deploys AI algorithms to detect and classify more than 20 types of arrhythmias, including atrial fibrillation, tachycardia, and bradycardia.

Chennai-based medtech company vTitan has announced the launch of vCardio, an AI-enabled wearable cardiac monitor designed to provide continuous ECG monitoring across clinical and home-care settings.

The system is developed and manufactured in India and aims to support early detection of cardiac abnormalities and improve accessibility to long-term heart monitoring.

With the new launch, the company aims to make point-of-care services more accessible for patients and clinics.

Commenting on the significance of the new device, Prasad Maganti, CEO, vTitan, said, “There is an unmet need for point-of-care cardiac screening at ambulatory clinics, for continuous monitoring in pre- and post-surgical step-down environments, and for prolonged home-based monitoring in cardiac risk patients. When we built vCardio, an edge-AI-enabled cardiac monitor, from the ground up, keeping clinical workflows in mind, our aim was to meet this market need and make cardiac care safer, smarter, and more accessible.”

He further added, “By combining patient-friendly design with advanced remote monitoring capabilities, we are aiming to transform cardiac care delivery by eliminating traditional barriers to remote patient monitoring. Our platform empowers healthcare systems to extend clinical-grade cardiac surveillance beyond the hospital walls, driving better outcomes while reducing the cost and complexity of care coordination, no matter where the patient is located.”

The device is designed for remote patient monitoring with its lightweight features, single-lead patch design that allows patients to wear it comfortably for up to 7–10 days.

Further, it integrates Bluetooth via a mobile app and combines with a cloud-based platform where clinicians can review ECG data, symptom inputs, and activity logs in real time.

The system further deploys AI algorithms to detect and classify more than 20 types of arrhythmias, including atrial fibrillation, tachycardia, and bradycardia.

This capability is intended to support physicians in making quicker, data-driven assessments without relying solely on short-duration ECG tests.

Additionally, it also features posture tracking, automated report generation, and the option for remote monitoring, which the company says could benefit hospitals, cardiology clinics, and home-health providers.

The device’s design and extended monitoring window also target the needs of post-operative patients and individuals under long-term cardiac evaluation.

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