A Fully Integrated Sensor-Brain-Machine Interface System for Restoring Somatosensation
Xilin Liu, Hongjie Zhu, Tian Qiu, Srihari Y. Sritharan, Dengteng Ge,, Shu Yang, Milin Zhang, Andrew G. Richardson, Timothy H. Lucas, Nader Engheta,, and Jan Van der Spiegel

TL;DR
This paper presents a fully integrated wireless sensor-brain-machine interface system that restores somatosensation by communicating tactile, joint, and neural signals to the brain, advancing neural prosthesis technology.
Contribution
It introduces a novel integrated SBMI system with innovative sensors, ADCs, and wireless transceivers, fabricated in CMOS technology, enabling bidirectional neural communication.
Findings
Successful bench and in vivo testing of prototypes
Effective communication of somatosensory signals to the brain
Advancement in miniaturized, low-power neural interface systems
Abstract
Sensory feedback is critical to the performance of neural prostheses that restore movement control after neurological injury. Recent advances in direct neural control of paralyzed arms present new requirements for miniaturized, low-power sensor systems. To address this challenge, we developed a fully-integrated wireless sensor-brain-machine interface (SBMI) system for communicating key somatosensory signals, fingertip forces and limb joint angles, to the brain. The system consists of a tactile force sensor, an electrogoniometer, and a neural interface. The tactile force sensor features a novel optical waveguide on CMOS design for sensing. The electrogoniometer integrates an ultra low-power digital signal processor (DSP) for real-time joint angle measurement. The neural interface enables bidirectional neural stimulation and recording. Innovative designs of sensors and sensing interfaces,…
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