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The paper reports of a Field Programmable Gate Array (FPGA) based closed loop transcranial direct current stimulation device for neuromodulation by utilizing deep learning classification. The Closed loop stimulation entails for: Monitoring patient data, analyzing the data, determining the stimulation parameters, administration of stimulation. A neural network has been created to classify the EEG signal and implemented in an FPGA to analyze and classify the EEG data and provide input parameters to the current stimulation circuit, which then provides non invasive direct current stimulation.

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Closed Loop Neuromodulation Device Using Field Programmable Gate Array

  • 会议论文

  • 发表日期：

    2026年

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  • Maha Vishnu Muthukumar,
  • Shubhajit Roy Chowdhury

摘要

The paper reports of a Field Programmable Gate Array (FPGA) based closed loop transcranial direct current stimulation device for neuromodulation by utilizing deep learning classification. The Closed loop stimulation entails for: Monitoring patient data, analyzing the data, determining the stimulation parameters, administration of stimulation. A neural network has been created to classify the EEG signal and implemented in an FPGA to analyze and classify the EEG data and provide input parameters to the current stimulation circuit, which then provides non invasive direct current stimulation.