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Peripheral electrical stimulation is a key robotic-assisted rehabilitation technology widely used for intelligent functional recovery and nervous system reconstruction. Currently, peripheral electrical stimulators are predominantly applied in clinical settings such as hospitals, but they often face challenges including large device size, limited portability, and inflexible parameter tuning. Traditional stimulators for functional electrical stimulation and transcutaneous nerve stimulation cannot fully meet the increasing demands for personalized, multi-channel, and real-time adaptive control. To overcome these limitations, this paper presents a lightweight, low-frequency peripheral electrical stimulator driven by FPGA. The device features high current control accuracy at the 0.1 mA level and pulse width precision at the microsecond level, combined with wearability, programmability, and wireless communication capabilities. It delivers stable output current with fast response times, supports multiple stimulation waveforms, and offers flexible parameter adjustments, effectively accommodating individualized patient needs. This advancement significantly improves stimulation safety, precision, and user comfort. The proposed design offers a promising technical solution for the miniaturization, intelligent control, and personalized application of peripheral electrical stimulation devices, with potential to enhance clinical rehabilitation outcomes.

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Driving Logic Optimization and Fine Control of a Peripheral Electrical Stimulator Based on FPGA

  • 会议论文

  • 发表日期：

    2026年

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  • Kening Gong,
  • Li Jiang,
  • Xiaoran Tang,
  • Hong Liu

摘要

Peripheral electrical stimulation is a key robotic-assisted rehabilitation technology widely used for intelligent functional recovery and nervous system reconstruction. Currently, peripheral electrical stimulators are predominantly applied in clinical settings such as hospitals, but they often face challenges including large device size, limited portability, and inflexible parameter tuning. Traditional stimulators for functional electrical stimulation and transcutaneous nerve stimulation cannot fully meet the increasing demands for personalized, multi-channel, and real-time adaptive control. To overcome these limitations, this paper presents a lightweight, low-frequency peripheral electrical stimulator driven by FPGA. The device features high current control accuracy at the 0.1 mA level and pulse width precision at the microsecond level, combined with wearability, programmability, and wireless communication capabilities. It delivers stable output current with fast response times, supports multiple stimulation waveforms, and offers flexible parameter adjustments, effectively accommodating individualized patient needs. This advancement significantly improves stimulation safety, precision, and user comfort. The proposed design offers a promising technical solution for the miniaturization, intelligent control, and personalized application of peripheral electrical stimulation devices, with potential to enhance clinical rehabilitation outcomes.