An arbitrary waveform neurostimulator for preclinical studies: design and verification.

IF 2.6 4区 医学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Medical & Biological Engineering & Computing Pub Date : 2025-04-01 Epub Date: 2024-12-12 DOI:10.1007/s11517-024-03241-6
Hipolito Guzman-Miranda, Alejandro Barriga-Rivera
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Abstract

Neural electrostimulation has enabled different therapies to treat a number of health problems. For example, the cochlear implant allows for recovering the hearing function and deep brain electrostimulation has been proved to reduce tremor in Parkinson's disease. Other approaches such as retinal prostheses are progressing rapidly, as researchers continue to investigate new strategies to activate targeted neurons more precisely. The use of arbitrary current waveform electrosimulation is a promising technique that allows exploiting the differences that exist among different neural types to enable preferential activation. This work presents a two-channel arbitrary waveform neurostimulator designed for visual prosthetics research. A field programmable gate array (FPGA) was employed to control and generate voltage waveforms via digital-to-analog converters. Voltage waveforms were then electrically isolated and converted to current waveforms using a modified Howland amplifier. Shorting of the electrodes was provided using multiplexers. The FPGA gateware was verified to a high level of confidence using a transaction-level modeled testbench, achieving a line coverage of 91.4%. The complete system was tested in saline using silver electrodes with diameters from 200 to 1000 µm. The bandwidth obtained was 30 kHz with voltage compliance ± 15 V. The neurostimulator can be easily scaled up using the provided in/out trigger ports and adapted to other applications with minor modifications.

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用于临床前研究的任意波形神经刺激器:设计和验证。
神经电刺激使不同的疗法能够治疗许多健康问题。例如,人工耳蜗可以恢复听力功能,深部脑电刺激已被证明可以减少帕金森病的震颤。随着研究人员继续研究更精确地激活目标神经元的新策略,视网膜假体等其他方法正在迅速发展。使用任意电流波形电模拟是一种很有前途的技术,它允许利用不同神经类型之间存在的差异来实现优先激活。本文提出了一种用于视觉修复研究的双通道任意波形神经刺激器。采用现场可编程门阵列(FPGA)控制并通过数模转换器产生电压波形。然后使用改进的Howland放大器将电压波形电隔离并转换为电流波形。使用多路复用器提供电极的短路。使用事务级建模测试平台对FPGA网关进行了高度置信度验证,实现了91.4%的线路覆盖率。整个系统在生理盐水中测试,使用直径从200到1000µm的银电极。所得带宽为30 kHz,电压顺应度为±15 V。神经刺激器可以使用提供的输入/输出触发端口轻松扩展,并通过微小修改适应其他应用。
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来源期刊
Medical & Biological Engineering & Computing
Medical & Biological Engineering & Computing 医学-工程:生物医学
CiteScore
6.00
自引率
3.10%
发文量
249
审稿时长
3.5 months
期刊介绍: Founded in 1963, Medical & Biological Engineering & Computing (MBEC) continues to serve the biomedical engineering community, covering the entire spectrum of biomedical and clinical engineering. The journal presents exciting and vital experimental and theoretical developments in biomedical science and technology, and reports on advances in computer-based methodologies in these multidisciplinary subjects. The journal also incorporates new and evolving technologies including cellular engineering and molecular imaging. MBEC publishes original research articles as well as reviews and technical notes. Its Rapid Communications category focuses on material of immediate value to the readership, while the Controversies section provides a forum to exchange views on selected issues, stimulating a vigorous and informed debate in this exciting and high profile field. MBEC is an official journal of the International Federation of Medical and Biological Engineering (IFMBE).
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