MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202647123868 A) filed by Lighthearted Ai Health Limited on October 15, 2026, for System And Method For Determining Physiological Parameters Of Subject From Biophotonic Signals Using Machine Learning.
Inventors include Rajeswari, Dilip; Cester, Lucrezia Maria Elisabetta; and Hammour, Ghena.
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 physiological parameters from bio-photonic signals of a subject using machine learning models, are provided. The system comprises an optical device to emit coherent laser light on body regions of a subject and an image-capturing device to capture reflected light, from the body regions, as an image or a video, the reflected light being indicative of vibrations generated by physiological events of the subject. The system further comprises a server configured to: quantify motion in consecutive frames of reflected light images or the videos; convert data characterizing quantified motion into a time series vibration data; apply bandpass filters on the time-series vibration data to isolate frequency components correspond to physiological parameters resulting in selective physiological velocity data such as heart sounds, respiratory sound, blood flow sounds, respiratory airflow sounds, thoracic or diaphragmatic sounds, gastrointestinal motility related sounds (derived from bowel sounds), peripheral artery sounds or bruits, carotid artery bruits, or combinations thereof; and determine, using statistical models and/or machine learning models, at least one physiological parameter by analyzing the vibration segments.
Disclaimer: Curated by HT Syndication.
