MUMBAI, India, Aug. 24 -- Intellectual Property India has published a patent application (202641097326 A) filed by Dr. Kuriti Joginaidu; Mr. S. M. Krishna Ganesh; Mrs. B. Sunitha; Dr. B. Rama Rao; Dr. Jami Venkata Suman; Mrs. Palle Pravalika; Dr. Alekhya Lanka; and Dr. Govindarao Tamminaina on August 12, 2026, for Edge-Based Biomedical Signal Processing System Using Embedded Digital Signal Processing And Multi-Sensor Fusion.
Inventors include Dr. Kuriti Joginaidu; Mr. S. M. Krishna Ganesh; Mrs. B. Sunitha; Dr. B. Rama Rao; Dr. Jami Venkata Suman; Mrs. Palle Pravalika; Dr. Alekhya Lanka; and Dr. Govindarao Tamminaina.
The application for the patent was published on August 21, 2026, under issue no. 34/2026.
Abstract: [084] The present invention relates to an edge-based biomedical signal processing system configured to acquire and process heterogeneous physiological signals using embedded digital signal processing and adaptive multi-sensor fusion. The system comprises a plurality of biomedical sensors, an acquisition interface, a temporal synchronization module, a signal conditioning module, an embedded digital signal processing unit, a signal quality assessment module, an adaptive sensor fusion engine, an event detection module, local memory and a communication interface. The system synchronizes signals acquired from sensors having different sampling characteristics and performs local digital filtering, noise suppression, artefact reduction and physiological feature extraction. Signal quality information is determined for individual sensor signals using signal characteristics, sensor conditions and contextual information, and the sensor fusion engine dynamically adjusts the contribution of individual signals according to their respective quality and confidence. The system can use contextual signals such as motion information to identify and reduce motion-induced artefacts in physiological signals. Physiological events may be detected locally and corresponding signal segments, features, physiological parameters and event information may be selectively transmitted to an external monitoring system instead of continuously transmitting raw biomedical data. The invention thereby provides low-latency biomedical signal processing, adaptive tolerance to sensor degradation, reduced communication dependency and efficient utilization of embedded computational and power resources, and is applicable to wearable, portable, ambulatory, bedside and remote biomedical monitoring systems. Accompanied Drawing [FIGS. 1-2]
Disclaimer: Curated by HT Syndication.
