Rest-State EEG Analysis for Movement Intention Detection

Solution Overview

Problem

Existing methods for identifying intrinsic frequencies in electroencephalographic signals require multiple trials and prolonged durations, leading to increased mental and physical burden on the analysis subject, particularly for patients with paralyzed parts.

Innovation Solution

An electroencephalogram analysis device that acquires and analyzes electroencephalographic signals during rest to estimate intrinsic frequencies using a sequential Bayesian method, allowing transformation into movement intentions without requiring additional movement from the subject.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If multiple trials and prolonged durations are used to identify intrinsic frequency, then measurement precision is improved, but time required and mental/physical burden increase

Engineering Contradiction:

Improveintrinsic frequency identification accuracyVSAvoidmeasurement time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary estimation of intrinsic frequency using electroencephalographic signals acquired during the resting state before the actual measurement. By pre-processing and estimating frequency characteristics from rest-state signals, the system can reduce the time required during subsequent motor imagery trials while maintaining measurement precision.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The invention introduces an intermediary estimation process that uses resting-state electroencephalographic signals as a mediator to predict intrinsic frequency characteristics. This intermediary approach allows the system to infer frequency information without requiring extensive motor imagery trials, thereby reducing measurement time while maintaining accuracy.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If multiple trials and prolonged durations are used to identify intrinsic frequency, then measurement precision is improved, but mental and physical burden on analysis subject increases

Engineering Contradiction:

Improveintrinsic frequency identification accuracyVSAvoidmental and physical burden

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The system performs preliminary estimation of intrinsic frequency using electroencephalographic signals acquired during the resting state before the actual measurement. By pre-processing and estimating frequency characteristics from rest-state signals, the system can reduce the time required during subsequent motor imagery trials while maintaining measurement precision.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The invention introduces an intermediary estimation process that uses resting-state electroencephalographic signals as a mediator to predict intrinsic frequency characteristics. This intermediary approach allows the system to infer frequency information without requiring extensive motor imagery trials, thereby reducing measurement time while maintaining accuracy.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Measurement precision

If measurement time is increased to identify intrinsic frequency, then measurement precision is improved, but productivity decreases

Engineering Contradiction:

Improveintrinsic frequency identification accuracyVSAvoidmeasurement efficiency

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system performs preliminary estimation of intrinsic frequency using electroencephalographic signals acquired during the resting state before the actual measurement. By pre-processing and estimating frequency characteristics from rest-state signals, the system can reduce the time required during subsequent motor imagery trials while maintaining measurement precision.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The invention introduces an intermediary estimation process that uses resting-state electroencephalographic signals as a mediator to predict intrinsic frequency characteristics. This intermediary approach allows the system to infer frequency information without requiring extensive motor imagery trials, thereby reducing measurement time while maintaining accuracy.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentEP4613200A1Brain wave analysis device, brain wave analysis program, motion assistance system, and motion assistance method

Publication Date: 2025.09.10 LIFESCAPES INC

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AI summary

The present invention relates to an electroencephalogram analysis device and an electroencephalogram analysis program, and a movement assistance system and a movement assistance method. An electroencephalogram analysis device (16) includes a signal acquisition unit (40) that acquires a time series of electroencephalographic signals of an analysis subject (12), and a computation unit (58) that obtains an intrinsic frequency correlated with a movement intention of the analysis subject (12) based on a frequency characteristic related to the time series of the electroencephalographic signals of the analysis subject (12) during rest.