Brain Wave Analysis Filtering Interference from Invasive Devices
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Solution Overview
Problem
Brain wave measuring instruments face interference issues when used with invasive medical devices, leading to potential misjudgments in brain wave analysis due to interference signals, which are often overlooked in existing non-invasive and invasive treatment methods.
Innovation Solution
A method involving a medical device implanted to transmit nerve stimulation signals, allowing a brain wave measuring instrument to filter out interference signals and calculate energy distribution information to determine suitable parameters for treatment, using algorithms like ICA, PCA, and SVD to isolate and analyze brain wave signals effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a brain wave measuring instrument is used in combination with an invasive medical device, then treatment can be provided, but the brain wave signal is accompanied by interference signals that lead to measurement errors
Solution Approach 1:
The patent segments the brain wave signal into multiple frequency bands (delta, theta, alpha, beta, gamma waves) and processes each band separately. This allows the system to identify and filter interference signals in specific frequency ranges while preserving the useful brain wave information, thereby resolving the contradiction between using invasive devices and maintaining measurement accuracy.
Solution Approach 2:
The patent introduces an intermediary processing system that includes a band-pass filter and multiple detectors. This intermediary system separates the interference signals from the brain wave signals by filtering through specific frequency bands, enabling accurate measurement despite the presence of invasive medical devices.
2Productivity
If interference signals are overlooked during brain wave analysis, then analysis can be performed quickly, but misjudgment occurs during treatment due to errors in brain wave analysis
Solution Approach 1:
The patent divides the analysis process into multiple parallel detection channels, each handling a specific frequency band. This segmentation allows the system to process different frequency components simultaneously, maintaining high productivity while ensuring that interference signals in any band are detected and filtered, thus improving treatment reliability.
Solution Approach 2:
The patent implements a feedback mechanism where the detected interference signals are used to adjust the filtering parameters in real-time. The system continuously monitors the brain wave signals, identifies interference patterns, and adjusts the band-pass filter settings accordingly, ensuring accurate analysis without sacrificing processing speed.
Data Source
AI summary
A method of brain wave analysis is to be implemented using a brain wave measuring instrument and a medical device. The method includes transmitting a nerve stimulation signal to cerebrum of a patient, measuring the nerve stimulation signal through the body of the patient so as to obtain discharge time information, measuring a brain wave signal from a head portion of the patient, obtaining energy distribution information according to the brain wave signal, and calculating behavior information according to the discharge time information and the energy distribution information.