Intellectual Property India Publishes Patent Application for [0020] Figure 1 Illustrates A Block Diagram Of The Self-Aware Wearable Healthcare System Comprising The Wearable Sensing Unit, Verified Health-Profile Storage Unit, Baseline Generation Unit, Treatment-Event Interface, Treatment-Response Traceability Engine And Reporting Engine. [0021] Figure 4 Illustrates An Example Secure Health-Data Access Trail Showing Authorized Access, Data Source, Timestamp, Purpose And Modification Status.

MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641112759 A) filed by Nivetha; and Dayananda Sagar University on September 20, 2026, for [0020] Figure 1 Illustrates A Block Diagram Of The Self-Aware Wearable Healthcare System Comprising The Wearable Sensing Unit, Verified Health-Profile Storage Unit, Baseline Generation Unit, Treatment-Event Interface, Treatment-Response Traceability Engine And Reporting Engine. [0021] Figure 4 Illustrates An Example Secure Health-Data Access Trail Showing Authorized Access, Data Source, Timestamp, Purpose And Modification Status..

Inventor includes Nivetha.

The application for the patent was published on September 25, 2026, under issue no. 39/2026.

Abstract: A self-aware wearable healthcare system is disclosed for establishing a longitudinal and personalized health profile by integrating verified historical clinical information with physiological measurements acquired from a wearable sensing unit. The system generates an individualized physiological baseline and receives authenticated treatment events from an authorized source. A treatment-response traceability engine synchronizes each treatment event, on a shared time reference, with physiological states acquired before and after the event from measurements satisfying a predefined signal-quality criterion, and computes a deviation score normalized against an individualized variability measure. A traceable treatment-response record is generated containing treatment information, source/provenance information, the synchronized event time, physiological states, baseline information and the deviation score. The system may further maintain a secure health-data access trail and identify unexpected treatment-response patterns for authorized professional review. The architecture provides technical synchronization and traceability between historical health information, treatment events and wearable physiological measurements, thereby supporting longitudinal healthcare monitoring and informed clinical review.

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