MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202621093394 A) filed by Rk University on July 31, 2026, for Artificial Intelligence-Based System And Method For Early Prediction, Detection, And Intervention Of Respiratory Disorders In Industrial Workers.
Inventors include Amit Lathigara; Nirav Bhatt; Paresh Tanna; and Parvez Belim.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: Abstract ARTIFICIAL INTELLIGENCE-BASED SYSTEM AND METHOD FOR EARLY PREDICTION, DETECTION, AND INTERVENTION OF RESPIRATORY DISORDERS IN INDUSTRIAL WORKERS A system for occupational respiratory monitoring in industrial environments includes a Worker Monitoring Device, a Exposure Sensor Network, a AI Prediction Engine, a Intervention Controller, and a Occupational Health Interface. The system receives worker respiratory signals, oxygen saturation, cough-event data, shift information, and workplace particulate or gas measurements. The acquired observations are checked for quality, source association, and timing before a model-ready representation is generated. The AI Prediction Engine produces an analytical result and a confidence indication. The Intervention Controller applies a stored response criterion and determines whether to release an output, request reacquisition, or require review. The Occupational Health Interface provides an early-risk alert and an industrial intervention instruction. The system particularly performs time-aligning worker respiratory changes with location-specific exposure events and selecting a graded intervention according to a predicted deterioration level. An event record stores input identifiers, a processing version, the analytical result, and the delivered response to maintain traceability between acquisition, processing, and output. Fig. 1 Dated July 30, 2026 / Mungalpara Jigneshbhai Chhaganbhai IN/PA-2640 Agent for the Applicant
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