Electrical Stimulation Device with Electrode Probability Matrix
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Solution Overview
Problem
Existing electrical stimulation devices require a calibration process to accurately map electrodes to muscles, which is time-consuming and prone to errors due to individual differences in arm thickness, leading to potential misalignment and inefficient operation.
Innovation Solution
The device incorporates a multiplexor, near field communication, and an electrode probability matrix to quickly establish correspondence between finger motion and electrodes, allowing for high-accuracy finger control with minimal erroneous operations by selecting the electrode with the maximum probability for stimulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a calibration process is performed to accurately map electrodes to muscles, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary calibration actions by pre-storing multiple electrode-muscle correspondence relationships in a database, each associated with different arm thickness categories. During actual use, the system quickly determines the user's arm thickness category and retrieves the pre-calibrated correspondence data, avoiding the need for time-consuming real-time calibration while maintaining high measurement precision.
2Adaptability or versatility
If multiple electrodes and sensors are provided to absorb individual differences in arm thickness, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system handles individual differences by changing the parameter of arm thickness categorization rather than increasing the number of electrodes and sensors. The database stores correspondence relationships for different arm thickness categories (thin, medium, thick), allowing the system to adapt to individual differences by selecting the appropriate category-based correspondence data.
3Reliability
If a calibration process is performed to clarify electrode-muscle correspondence, then reliability is improved, but ease of operation worsens
Solution Approach 1:
The system performs self-service by automatically measuring arm thickness, determining the appropriate category, and selecting the corresponding electrode-muscle correspondence data without requiring manual calibration operations from the user. This maintains high reliability through accurate correspondence while preserving ease of operation by eliminating complex calibration steps.
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
This solution enables rapid clarification of electrode-finger correspondence and accurate finger control, reducing calibration time and errors, and ensuring efficient operation across varying arm thicknesses and attachment states.
Implementation Method 1
a near field communication receiving unit configured to receive a command for moving a finger from a host
Data Source
AI summary
Provided are an electrical stimulation device configured so that a correspondence among finger motion and electrodes can be clarified in a short amount of time regardless of the state of attachment to a user's arm and an individual difference and an intended finger can be driven at high accuracy with very few erroneous operation and an electrical stimulation system using the electrical stimulation device. When an electrode probability matrix in which a Bayesian posterior probability indicating an electrode-finger correspondence is described as an element is updated in a host, the position of an element positioned on the upper left side of the electrode probability matrix and indicating that finger motion occurs is compared to rearrange the columns of the electrode probability matrix as necessary.