MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641083384 A) filed by Manipal Academy Of Higher Education on July 07, 2026, for A System And A Method For Respiratory Turbulence Fingerprinting And Disease Characterisation.
Inventors include Sahajanya Srikanth; and Mohammed Sameer.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention relates to a system (100) and a method (300) for respiratory turbulence fingerprinting and disease characterisation. A plurality of sensors (207) coupled to a respiratory interface acquires multimodal respiratory signals of a subject comprising airflow data, dynamic pressure data, acoustic data, and vibration data. A processor (201) computes a plurality of respiratory indices comprising a Flow Fragmentation Index, a Turbulence Persistence Score, an Airway Resonance Map, an Expiratory Decay Coefficient, and an Airway Asymmetry Score from the multimodal respiratory signals. The processor (201) generates a Composite LungPrint Score from a weighted linear combination of the plurality of respiratory indices and matches the Composite LungPrint Score against a disease library stored in a memory (203) to generate a respiratory condition classification and an output signal that configures the system (100) to display or transmit the respiratory condition classification. FIG. 2
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