MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202631042637 A) filed by Jis College Of Engineering, Kalyani, West Bengal, on April 2, for '" neural dust-powered brain-computer interface (bci).'
Inventor(s) include Dr. Shyam Sundar Santra; Dr. Debasish Majumder; Mr. Prodipto Dhali; Mr. Shubhankar Karmakar; Ishika Biswas; and Joyeta Dolai.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a Neural Dust-Powered Brain-Computer Interface (BCI) system that enables minimally invasive, wireless, and battery-free neural interfacing for long-term brain signal acquisition and bidirectional communication. The system comprises a plurality of implantable neural dust nodes having microscale dimensions, wherein each node includes a biocompatible piezoelectric energy harvesting element configured to convert externally transmitted ultrasonic energy into electrical power for operation within neural tissue. Each neural dust node further comprises neural sensing electrodes configured to detect electrophysiological signals such as local field potentials and neuronal spike activity and a backscatter modulation circuit configured to transmit the sensed neural data wirelessly through ultrasonic backscatter communication. An ultrasonic transducer array positioned externally on the scalp or sub-cranially beneath the skull is configured to transmit focused ultrasonic waves for powering the neural dust nodes and to receive modulated backscatter signals carrying neural information. An external processing and control unit is configured to demodulate and decode the received signals using signal processing and artificial intelligence-based neural decoding algorithms to generate real-time output commands for external devices including prosthetics, assistive systems, computers, and therapeutic equipment. The system further supports closed-loop operation by transmitting stimulation instructions to selected neural dust nodes for targeted neuromodulation based on real-time decoded brain activity. The invention provides a scalable and biocompatible platform for high-resolution neural monitoring, neuroprosthetic control, and neurological disorder treatment with reduced surgical risk and improved long-term reliability."
Disclaimer: Curated by HT Syndication.
