MEG Device Integrated Cardiac Sensor Noise Extraction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional technologies face difficulties in clearly distinguishing cardiac magnetic field noise waveforms in MEG signals and require external devices for noise synchronization, complicating device configuration.
Innovation Solution
An information display device with a component extraction unit and noise component selection unit that extracts and displays noise components from multiple signal waveforms, allowing for optimal noise removal without external devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a device dedicated to measuring cardiac magnetic fields is used to remove noise from MEG signals, then noise removal capability is improved, but device complexity increases due to requiring external synchronization devices
Solution Approach 1:
The patent combines the MEG measurement function and cardiac magnetic field measurement function into a single integrated MEG measurement device. The MEG measurement device includes both MEG sensors and cardiac magnetic field sensors, allowing it to simultaneously measure both brain magnetic fields and cardiac magnetic fields without requiring external synchronization devices. This merging resolves the contradiction by improving noise removal capability while reducing device complexity.
Solution Approach 2:
The MEG measurement device is designed with multi-functionality to perform both MEG signal acquisition and cardiac magnetic field measurement. By incorporating cardiac magnetic field measurement capability into the MEG device itself, the system can identify and remove cardiac noise from MEG signals using its own integrated sensors, eliminating the need for separate external devices and simplifying the overall system configuration.
2Measurement precision
If waveforms from external devices are used to identify noise, then noise detection accuracy is improved, but ease of operation deteriorates due to difficulty in distinguishing noise waveforms
Solution Approach 1:
The patent combines the timing information from both MEG signals and cardiac magnetic field signals into a single synchronized time reference system. By using the R wave timing from the integrated cardiac magnetic field measurement as a reference, the system can automatically identify and mark noise occurrences in the MEG signals without requiring manual waveform analysis, thereby improving ease of operation while maintaining noise detection accuracy.
Solution Approach 2:
The system implements feedback by using the detected R wave timing from cardiac magnetic fields to automatically mark and identify corresponding noise waveforms in the MEG signals. This feedback mechanism allows the system to automatically distinguish noise waveforms based on their temporal relationship with cardiac cycles, improving both ease of operation and noise detection accuracy without requiring manual waveform analysis.
Data Source
AI summary
An information display device includes a component extraction unit configured to extract a requested component from multiple given waveforms that are cut out of multiple signal waveforms based on biological signals that are detected; and a noise component selection unit configured to accept selecting, as a noise component, a result of the extracting from multiple results of the extracting by the component extraction unit, and the noise component selection unit displays the multiple results of the extracting by the component extraction unit and times at which the specific waveforms occur.