Analog/RF Integrated Circuits and System Design for Neural Interface Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Bioelectronics".
Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 3691
Special Issue Editor
Special Issue Information
Dear Colleagues,
In the last few decades, many advancements have taken place in the research on the brain–machine interface (BMI) technologies to monitor and treat neurophysiological disorders, with the ultimate goal of improving the understanding of the brain and its complex functions. Multi-channel multi-modal bidirectional neural interface system-on-chips (SoC) with neural recording, stimulation, digital signal processing, wireless power delivery and management, and wireless communication capabilities are being developed, while meeting the technical challenges imposed by the human brain. Requirements such as small form factor, ultra-low power consumption, and artifact suppression or cancellation are a few of the challenges that need to be addressed and resolved by the overall system at both the architectural and circuit levels during the realization process.
The topics of interest for this Special Issue include the design and implementation of neural interface SoCs, as well as the works related to individual analog and RF IC design building blocks for BMI applications using CMOS technologies.
Prof. Dr. Hyouk-Kyu Cha
Guest Editor
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Keywords
- Brain–machine interface (BMI)
- Bidirectional neural interface system-on-chip (SoC)
- Analog front-end
- Neural recording
- Low-noise neural amplifier
- Low-power analog-to-digital converter (ADC)
- Neural stimulation
- Wireless power conversion and management
- Low-power wireless transceiver
- Stimulation artifact
- Charge balancing
- Action potential (AP) and local field potential (LFP)
- Electrocorticography (ECoG)
- Electroencephalography (EEG)
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