MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202621093396 A) filed by Rk University on July 31, 2026, for Edge Ai-Enabled Smart Respiratory Monitoring System For Early Detection Of Occupational Lung Disorders.
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 EDGE AI-ENABLED SMART RESPIRATORY MONITORING SYSTEM FOR EARLY DETECTION OF OCCUPATIONAL LUNG DISORDERS A system for edge-based occupational respiratory monitoring includes a Wearable Sensor Unit, a Edge Processor, a Local AI Model, a Event Buffer, and a Selective Communication Interface. The system receives wearable respiratory signals, oxygen saturation, cough features, motion state, and local dust concentration. The acquired observations are checked for quality, source association, and timing before a model-ready representation is generated. The Local AI Model produces an analytical result and a confidence indication. The Event Buffer applies a stored response criterion and determines whether to release an output, request reacquisition, or require review. The Selective Communication Interface provides an on-device warning and a selectively transmitted occupational event record. The system particularly performs performing respiratory-event inference locally and transmitting an event summary instead of a continuous raw physiological stream. 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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