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[IEEE 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS) - Cleveland, OH, USA (2018.10.17-2018.10.19)] 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS) - Wireless Power and Data Link for Ensembles of Sub-mm scale Implantable Sensors near 1GHz
摘要： We describe a custom wireless power and data transmission (WPDT) link and analyze its performance in a prototype implantable sensor system of ensembles of CMOS sensor ASICs (“Neurograins”) embedding 0.5 mm x 0.5 mm planar microcoil antennas. We use near-field RF at ~1 GHz for wireless powering in a resonant 3-coil architecture including an implanted relay coil in a quadrant layout architecture to maximize coverage area and RF transfer efficiency. We demonstrate successful WPDT across antenna cross-section in benchtop proxy physiological tests. Demodulation and analysis of backscattered signals validate the data link fidelity. Our results suggest that this electromagnetic coupling scheme can robustly support a chip density of 250/ cm2 (up to 1024 individual Neurograins in a 2 cm x 2 cm area) and parallel transmitters can be combined to multiply the channel capacity without destructive interference.
关键词： wireless power,brain-computer interfaces,brain-machine interfaces,implantable sensors
更新于2025-09-23 15:23:52
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[IEEE 2019 IEEE SENSORS - Montreal, QC, Canada (2019.10.27-2019.10.30)] 2019 IEEE SENSORS - Fast response hydrogel-based plasmonic sensor substrate for the detection of ethanol
摘要： Decades of heavy investment in laboratory-based brain imaging and neuroscience have led to foundational insights into how humans sense, perceive, and interact with the external world. However, it is argued that fundamental differences between laboratory-based and naturalistic human behavior may exist. Thus, it remains unclear how well the current knowledge of human brain function translates into the highly dynamic real world. While some demonstrated successes in real-world neurotechnologies are observed, particularly in the area of brain-computer interaction technologies, innovations and developments to date are limited to a small science and technology community. We posit that advancements in real-world neuroimaging tools for use by a broad-based workforce will dramatically enhance neurotechnology applications that have the potential to radically alter human–system interactions across all aspects of everyday life. We discuss the efforts of a joint government-academic-industry team to take an integrative, interdisciplinary, and multi-aspect approach to translate current technologies into devices that are truly ?eldable across a range of environments. Results from initial work, described here, show promise for dramatic advances in the ?eld that will rapidly enhance our ability to assess brain activity in real-world scenarios.
关键词： brain computer interfaces,data acquisition,biomarkers,translational research,brain computer interaction,monitoring,wearable sensors,body sensor networks,electroencephalography,Behavioral science
更新于2025-09-23 15:19:57
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Scattering Effect on Optical Performance of Quantum Dot White Light-Emitting Diodes Incorporating SiOa?? Nanoparticles
摘要： Traditional rehabilitation techniques have limited effects on the recovery of patients with tetraplegia. A brain–computer interface (BCI) provides an interactive channel that does not depend on the normal output of peripheral nerves and muscles. In this paper, an integrated framework of a noninvasive electroencephalogram (EEG)-based BCI with a noninvasive functional electrical stimulation (FES) is established, which can potentially enable the upper limbs to achieve more effective motor rehabilitation. The EEG signals based on steady-state visual evoked potential are used in the BCI. Their frequency domain characteristics identi?ed by the pattern recognition method are utilized to recognize intentions of ?ve subjects with average accuracy of 73.9%. Furthermore the movement intentions are transformed into instructions to trigger FES, which is controlled with iterative learning control method, to stimulate the relevant muscles of upper limbs tracking desired velocity and position. It is a useful technology with potential to restore, reinforce or replace lost motor function of patients with neurological injuries. Experiments with ?ve healthy subjects demonstrate the feasibility of BCI integrated with upper extremity FES toward improved function restoration for an individual with upper limb disabilities, especially for patients with tetraplegia.
关键词： rehabilitation robotics,functional electrical stimulation,human–robot interaction,intelligent control,Brain–computer interfaces
更新于2025-09-19 17:13:59