Magnetic Finger Movement Analysis for Parkinson's Quantification
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Solution Overview
Problem
Current methods for evaluating the severity of Parkinson's disease, such as digital on/off finger movement analysis, fail to provide quantitative assessment and are inefficient in data analysis, while existing technologies cannot detect biological movement effectively.
Innovation Solution
A movement analysis display apparatus that analyzes time-series waveform data from movement sensors to generate velocity, distance, and energy waveforms, calculating energy balance and envelope curves to quantify movement information and evaluate movement quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If digital on/off finger movement analysis is used, then the evaluation method is simple, but quantitative assessment capability is insufficient
Solution Approach 1:
The patent replaces simple digital on/off detection with magnetic field-based movement sensing that captures continuous waveform data. A magnetic sensor detects the movement waveform of a finger tip, and this analog waveform data is then processed to extract velocity, acceleration, and distance information, enabling quantitative assessment while maintaining ease of use.
2Measurement precision
If optical camera systems are used for analog movement detection, then movement accuracy is improved, but device complexity and analysis time increase
Solution Approach 1:
The patent substitutes complex optical camera systems with a simple magnetic sensor that directly measures movement waveforms. The magnetic sensor approach uses magnetic field interactions to detect finger tip movement, providing accurate analog waveform data without the complexity of optical systems, reducing both device complexity and data analysis requirements.
3Measurement precision
If magnetic sensors are used to detect movement waveforms, then quantitative movement information is obtained, but the ability to detect biological movement is limited
Solution Approach 1:
The patent applies parameter changes by processing the raw magnetic sensor waveform data through mathematical operations. The movement waveform is differentiated to obtain velocity information, then differentiated again to obtain acceleration, and integrated to obtain distance. These parameter transformations convert the magnetic sensor output into multiple quantitative movement parameters that reliably characterize biological movement.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables quantitative evaluation of movement information, effectively assessing the severity of Parkinson's disease and providing insights into movement quality, including energy balance and uniformity of movement.
Implementation Method 1
a magnetic sensor type finger tapping measuring device as a movement sensor that appropriately measures waveform data
Data Source
AI summary
A movement analysis display apparatus includes a analyzing unit for analyzing waveform data of a time series which is acquired from a movement sensor, and a display unit for displaying an analysis result that is analyzed by the analyzing unit. The analyzing unit includes a movement waveform generating section for generating a movement waveform from the waveform data, an energy balance value calculating means for calculating a movement energy ratio in opposed movement directions in a velocity waveform, an envelope curve generating section for generating an envelope curve at a given time width in a distance waveform, and a time integration curve analyzing section for integrating a movement waveform with respect to time.