A current waveform control method and system based on transcranial alternating current stimulation

By acquiring EEG signals in real time and utilizing short-time Fourier transform and dynamic adjustment of the frequency and phase of the current waveform, the problem of unstable stimulation effects caused by individual differences in existing technologies has been solved, achieving personalized neuromodulation effects.

CN120437496BActive Publication Date: 2026-06-02ZHONGDA HOSPITAL SOUTHEAST UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHONGDA HOSPITAL SOUTHEAST UNIV
Filing Date
2025-04-28
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing transcranial alternating current stimulation methods lack targeted adjustments for individual differences and task requirements, resulting in unstable stimulation effects.

Method used

By acquiring EEG signals in real time, extracting the baseline neural oscillation characteristics of an individual using short-time Fourier transform, dynamically adjusting the frequency and phase of the current waveform, and selecting different stimulation modes based on task requirements, real-time feedback and dynamic compensation of the current waveform can be achieved.

Benefits of technology

It improves the precision and safety of neural modulation, ensures that the stimulation signal is highly synchronized with the brain's neural oscillations, and enhances the effectiveness of biomedical treatment.

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Abstract

This invention relates to the field of transcranial alternating current waveform control technology, and discloses a method and system for controlling current waveforms based on transcranial alternating current stimulation. The method includes: performing time-frequency analysis of electroencephalogram (EEG) signals using short-time Fourier transform; generating an initial current waveform based on individual neural oscillation characteristics; selecting different stimulation modes to adjust the current waveform according to task requirements; and calculating and dynamically compensating for frequency and phase shifts through real-time feedback. Compared to existing stimulation methods that typically use fixed frequencies and amplitudes, especially under conditions of significant individual differences, it is difficult to achieve precise individualized current waveform control, leading to unstable and poor stimulation effects. This application, through real-time feedback and dynamic frequency, can precisely adjust the frequency and phase of the current waveform according to the actual neural oscillation state of the brain, improving the synchronization between stimulation and brain neural oscillations.
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