Intellectual Property India Publishes Patent Application for 'Portable Embedded System For Real-Time Non- Invasive Arterial Hemodynamics Analysis Using Computational Fluid Dynamics' Filed by Gayathri V; Dinesh P A; Md Samiul Haque; Vinodkrishna M Savadi; and Santhosh R

MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123482 A) filed by Gayathri V; Dinesh P A; Md Samiul Haque; Vinodkrishna M Savadi; and Santhosh R, Bangalore, Karnataka, on Dec. 8, 2025, for 'portable embedded system for real-time non- invasive arterial hemodynamics analysis using computational fluid dynamics.'

Inventor(s) include Gayathri V; Dinesh P A; Md Samiul Haque; Vinodkrishna M Savadi; and Santhosh R.

The application for the patent was published on Jan. 2, under issue no. 01/2026.

According to the abstract released by the Intellectual Property India: "The invention discloses a portable, low-cost diagnostic system for real-time, non-invasive assessment of arterial hemodynamics using a reduced order computational fluid dynamic (CFD) engine optimized for embedded hardware. The system integrates a dual-sensor module, comprising a miniaturized arterial diameter sensor and a flow velocity probe, enabling data acquisition without CT, MRI or high-end imaging devices. Using these inputs the embedded processor reconstructs simplified 2D/3D vascular segments, including stenotic and bifurcated geometries, based on pre-programmed anatomical templates and physiologically calibrated models. A Specialized reduced-order Navier-stokes equation solver, designed for a low-power processors which computes a hemodynamic parameter such as velocity distribution, pressure gradient, and wall shear stress in near-real time, without relying on cloud or workstation computing. A built-in memory module stores parametric vessel models, solver coefficients and clinical thresholds, while the integrated display or wireless communication interface provides the results directly to a local screen or a mobile application. The proposed system enables point-to-point care of vascular diagnostics in clinics, in emergency setting, in remote or in resource-limited environments by combining simple sensors with fast embedded hemodynamic computation, thereby bridging the gap between high-end clinical imaging and field-level medical practice."

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