Electrode Patch for Parkinson's Disease Symptom Detection
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Solution Overview
Problem
Current methods for detecting and managing Parkinson's disease symptoms are inaccurate and unpredictable, particularly in later stages, making it difficult to determine optimal drug dosages, adjust deep brain stimulation settings, and choose effective treatments.
Innovation Solution
A self-adhesive electrode patch with embedded EMG electrodes and a detection system that forms a principal component representation from EMG and acceleration data, allowing for consistent and continuous measurement of symptoms, enabling the assessment of Parkinson's disease indicators and treatment efficacy over extended periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current data analysis methods are used for Parkinson's disease symptoms, then the analysis can be performed, but the accuracy and reliability of symptom detection is insufficient
Solution Approach 1:
The patent segments the detection system into multiple independent components: EMG electrode for muscle activity detection, acceleration sensor for movement detection, and separate processing modules for analyzing different symptom types. This segmentation allows each component to specialize in detecting specific Parkinson's symptoms, improving overall detection accuracy and reliability
Solution Approach 2:
The patent introduces an intermediary processing system that collects data from multiple sensors (EMG and acceleration sensors), processes the signals through filtering and feature extraction, and integrates the results to form comprehensive symptom assessments. This intermediary processing layer enhances measurement precision by combining multiple data sources
2Loss of information
If short measurement periods are used, then the measurement process is simple, but the comprehensiveness of symptom assessment is limited
Solution Approach 1:
The patent implements continuous monitoring capability where the electrode patch and sensors remain attached to the patient for extended periods (days or weeks), continuously collecting EMG and acceleration data. This continuous action ensures comprehensive symptom information is captured across different time points, activities, and disease variations, eliminating information loss while managing time efficiently through automated continuous measurement
3Measurement precision
If electrodes are positioned manually without fixed configuration, then positioning flexibility is high, but measurement consistency deteriorates
Solution Approach 1:
The patent merges the electrodes into a single integrated electrode patch with predetermined fixed positions. The EMG electrode and acceleration sensor are positioned at specific locations on the patch designed for optimal Parkinson's symptom detection. This merging ensures measurement consistency while maintaining ease of operation, as the entire patch can be applied as one unit without complex individual electrode positioning
Solution Approach 2:
The patent uses a standardized electrode patch design that can be replicated and applied to multiple patients with consistent positioning. The fixed configuration creates a reproducible measurement setup that copies the same sensor arrangement across different users, ensuring measurement precision and consistency while simplifying the application process
Data Source
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AI summary
The present disclosure describes an electrode patch, and a method, a measurement arrangement, and a detection system utilizing the electrode patch for detecting an indicator of Parkinson's disease in a person from a muscle in a limb of the person. The electrode patch comprises two measurement electrodes, wherein a distance between centres of the measurement electrodes is above 2 cm and less than 4 cm, and a reference electrode positioned such that a lateral distance of from a centre of the reference electrode from to an axis passing through the centres of the measurement electrodes is at least he distance between the measurement electrodes.