MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202647123869 A) filed by Lighthearted Ai Health Limited on October 15, 2026, for System And Method For Determining Calibrated Blood Pressure From Biophotonic Signals Using Machine Learning.
Inventors include Rajeswari, Dilip; Cester, Lucrezia Maria Elisabetta; and Manoharan, Akshay Kumaar Murali Gopika.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: A system and method for non-invasively determining calibrated blood pressure from one or multiple regions of a subject via bio-photonic signals using motion estimation and machine learning models, for blood pressure profiling, are provided. The system comprises an optical device to emit coherent laser light on single or multiple points on biological tissues at one or more anatomical sites; an image-capturing sensor capture optical data comprising a dynamically changing speckle pattern formed by reflected laser light from one or more anatomical sites; and a server configured to: obtain the dynamically changing speckle pattern formed by the reflected laser light from the image-capturing sensor; and determine, using statistical and machine learning-based modelling, blood pressure associated with the one or more anatomical sites by analysing the dynamically changing speckle pattern. The blood pressure includes central blood pressure, peripheral blood pressure, pulmonary arterial pressure, atrium and ventricle blood pressure, and cerebral blood pressure.
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