Wireless Brain Machine Interface Data Transfer
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Solution Overview
Problem
Existing brain machine interface (BMI) systems are limited by low data transfer rates and spatial/mobility constraints due to physical wires, making it difficult to investigate brain activities in a large-scale and fine-resolution view while also limiting the freedom of movement of monitored patients.
Innovation Solution
A wireless wearable big-data brain machine interface system that partitions data transfer into short-distance wireless, low-complexity wire, and local area wireless communication sections, using implantable and wearable modules with system-in-a-package or system-on-a-chip technologies to support giga-bit per second data transfer, allowing patients to move freely while processing and recording neural data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physical wires are used for data transfer in BMI systems, then data transfer stability is improved, but patient mobility and freedom of movement deteriorate
Solution Approach 1:
The patent replaces the mechanical wire-based data transfer system with a wireless communication system using electromagnetic fields. The implantable device communicates with external devices through wireless signals, eliminating physical connections while maintaining data transfer capability and enabling patient mobility.
2Ease of operation
If wireless communication is used for data transfer, then patient mobility is improved, but data transfer rate deteriorates
Solution Approach 1:
The patent employs dynamic communication protocols that can adapt transmission parameters such as data rate, modulation scheme, and power level based on real-time conditions. This allows the system to optimize data transfer rates dynamically while maintaining wireless connectivity and patient mobility.
3Productivity
If high data transfer rate is achieved, then investigation of brain activities is improved, but device complexity deteriorates
Solution Approach 1:
The patent divides the BMI system into multiple functional modules including neural signal acquisition, preprocessing, wireless transmission, and external processing components. This segmentation allows high data transfer rates to be achieved in specific modules without requiring the entire system to be overly complex, enabling targeted optimization of data collection efficiency.
Data Source
AI summary
A wireless wearable high data throughput (big data) brain machine interface apparatus is presented. An implanted recording and transmitting module collects neural data from a plurality of implanted electrodes and wirelessly transmits this over a short distance to a wearable (not implanted) receiving and forwarding module, which communicates the data over a wired communication to a mobile post processing device. The post processing device can send this neural data to an external display or computer enabled device for viewing and/or manipulation. High data throughput is supported by aggregating multiple groups of electrodes by multiple n-channel recording elements, which are multiplexed and then modulated into high frequency wireless communications to the wearable module. Embodiments include use of multiple radiators (multiple polarizations and/or spatially distributed), with beam alignment adjustment.