Finger Kneading Rating Method Using Intelligent Model Processing

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Solution Overview

Problem

Current methods for diagnosing Parkinson's disease are not accurate, with clinical examinations only being 70-75% consistent with pathological diagnosis, and the manual processing of data is inefficient.

Innovation Solution

A finger kneading rating method based on intelligent model processing, which includes acquiring and sending piezoelectric data, processing it using a data model, and outputting effective finger data to display the evaluation results, utilizing a device with a piezoelectric converter, MCU, display, and battery.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If manual evaluation and counting is used by operator, then equipment complexity is reduced, but measurement precision and reliability deteriorate due to human errors in counting and scoring

Engineering Contradiction:

Improveevaluation system complexityVSAvoidfinger kneading count accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent replaces the manual mechanical counting system with an automated sensing system using piezoelectric sensors. The piezoelectric converter detects finger kneading actions through mechanical pressure changes and converts them to electrical signals for automated processing, eliminating human error in counting while maintaining operational simplicity.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary data processing system between the finger kneading action and the final score. The MCU processes raw piezoelectric signals through filtering, threshold detection, and counting algorithms to generate accurate kneading counts, serving as a mediator that ensures measurement precision without requiring complex manual evaluation procedures.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Device complexity

If manual data processing is used, then device complexity is reduced, but productivity deteriorates due to inefficient processing of large numbers of collected data

Engineering Contradiction:

Improvedata processing system complexityVSAvoiddata processing efficiency

Core Design Contradiction:

Device complexityVSProductivity

Solution Approach 1:

The patent replaces manual data processing operations with automated computational processing. The MCU executes pre-programmed algorithms to filter, validate, and process piezoelectric data in real-time, dramatically improving processing speed and efficiency while keeping the overall system architecture simple and manageable.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent implements preliminary data filtering and validation rules within the MCU before final scoring. By pre-configuring threshold values, filtering criteria, and counting logic, the system prepares processing pathways in advance, enabling rapid and efficient data processing without requiring complex real-time decision-making structures.

Inventive Principle:

Principle #10Preliminary action

3Measurement precision

If operator teaches patient maximum amplitude and fastest frequency kneading, then measurement precision is improved, but loss of time increases due to patient instruction and memory retention issues

Engineering Contradiction:

Improvekneading evaluation accuracyVSAvoidevaluation time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent enables the evaluation system to automatically establish and maintain evaluation criteria without requiring operator intervention. The piezoelectric sensor system continuously monitors and counts kneading actions based on pre-set thresholds, eliminating the need for operators to repeatedly instruct patients about proper technique while maintaining consistent measurement standards throughout the evaluation process.

Inventive Principle:

Principle #25Self-service

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 method improves the accuracy and reliability of finger kneading evaluations, reduces errors in data collection, and enhances the efficiency of data processing, providing better evidence for early identification and treatment of Parkinson's disease.

Implementation Method 1

a piezoelectric converter, which is arranged on the finger sleeve to acquire and send finger kneading piezoelectric data meeting preset pressure value

Methodology Applied

Scientific EffectPiezoelectric effect: Piezoelectric Effect

Data Source

PatentUS12327640B2Finger kneading rating method based on intelligent model processing

Publication Date: 2025.06.10 JIANGXI PROVINCIAL PEOPLES HOSPITAL

AI summary

Disclosed is a finger kneading rating method based on intelligent model processing. The method includes the following steps: acquiring and sending finger kneading piezoelectric data meeting a preset pressure value; receiving the piezoelectric data meeting the preset pressure value, calculating and processing the piezoelectric data by using a data model, and outputting finger effective data; receiving the finger effective data, and inputting a preset training model for training to obtain a rating model; outputting the finger effective data and displaying the finger kneading evaluation result. Through the steps above, the effective times of finger kneading could be easily obtained, and the results of inaccurate counting and scoring in a short time could be avoided, thus greatly ensuring good accuracy and reliability of the test results of this project; meanwhile, the application provides powerful evidence for early identification, early treatment and treatment detection of Parkinson's disease.