Abstract
Magnetic coupling resonance wireless power transfer can efficiently provide energy to intracranial implants under safety constraints, and is the main way to power fully implantable brain–computer interface systems. However, the existing maximum efficiency tracking wireless power transfer system is aimed at optimizing the overall system efficiency, but the efficiency of the secondary side is not optimized. Moreover, the parameters of the transmitter and the receiver change nonlinearly in the power control process, and the efficiency tracking mainly depends on wireless communication. The heat dissipation caused by the unoptimized receiver efficiency and the wireless communication delay in power control will inevitably affect neural activity and even cause damage, thus affecting the results of neuroscience research. Here, a linear-power-regulated wireless power transfer method is proposed to realize the linear change of the received power regulation and optimize the receiver efficiency, and a miniaturized linear-power-regulated wireless power transfer system is developed. With the received power control, the efficiency of the receiver is increased to more than 80%, which can significantly reduce the heating of fully implantable microsystems. The linear change of the received power regulation makes the reflected impedance in the transmitter change linearly, which will help to reduce the dependence on wireless communication and improve biological safety in received power control applications.
Funder
the “Pioneer” and “Leading Goose” R&D Program of Zhejiang
National Natural Science Foundation of China
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference45 articles.
1. Recent advances in electrical neural interface engineering: Minimal invasiveness, longevity, and scalability;Neuron,2020
2. Yan, T., Kameda, S., Suzuki, K., Kaiju, T., Inoue, M., Suzuki, T., and Hirata, M. (2020). Minimal Tissue Reaction after Chronic Subdural Electrode Implantation for Fully Implantable Brain–Machine Interfaces. Sensors, 21.
3. Mutlu, S. (2021). Somatosensory Feedback for Neuroprosthetics, Elsevier.
4. Challenges in scaling down of free-floating implantable neural interfaces to millimeter scale;IEEE Access,2020
5. A flexible, stretchable system for simultaneous acoustic energy transfer and communication;Sci. Adv.,2021