Closed-loop control system based on electroencephalogram signals

By using a closed-loop control system based on electroencephalogram (EEG) signals to dynamically adjust the processing strategy of the cochlear implant system, the problems of low parameter matching accuracy and invasive risks in existing technologies are solved, enabling more accurate auditory stimulation and speech recognition, and adapting to the patient's neural changes.

CN122075013APending Publication Date: 2026-05-26ZHEJIANG NUROTRON BIOTECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHEJIANG NUROTRON BIOTECH
Filing Date
2026-03-31
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing cochlear implant systems use feedforward open-loop control, which cannot be dynamically adjusted according to the actual neural response. Parameter matching relies on the patient's subjective feedback, resulting in low accuracy, especially in children and patients with impaired consciousness. Furthermore, invasive intracranial electrodes pose risks.

Method used

A closed-loop control system based on electroencephalogram (EEG) signals is adopted. The EEG signals after electrical stimulation pulses are collected and processed through an external closed-loop control module. The processing and encoding strategies of the sound processing module are optimized to achieve dynamic adjustment. Electrodes are configured in the periauricular position using a non-invasive EEG signal acquisition unit.

Benefits of technology

It enables dynamic adjustment based on neural responses, providing more precise auditory stimulation, improving speech recognition in noisy environments, reducing the frequency of clinical machine adjustments, and using EEG signal physiological indicators to replace subjective feedback, adapting to patients' neural changes.

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Abstract

This invention discloses a closed-loop control system based on electroencephalogram (EEG) signals, comprising a sound processing module, an external closed-loop control module, and an internal implanted stimulation module. The sound processing module is connected to both the internal implanted stimulation module and the external closed-loop control module. The sound processing module acquires sound signals and processes them according to preset processing and encoding strategies to output stimulation encoding parameters. The internal implanted stimulation module parses the stimulation encoding parameters and generates corresponding electrical stimulation pulses to apply to the patient. The external closed-loop control module acquires and processes the EEG signals generated after the patient receives the applied electrical stimulation pulses, and optimizes at least one of the processing and encoding strategies based on the processed EEG signals. The system of this invention can optimize the processing and encoding strategies based on EEG signals to achieve more precise closed-loop control and provide patients with more accurate sound processing solutions.
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