Programmable Accelerometer for Muscular Parameter Measurement
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Solution Overview
Problem
Existing accelerometers are unable to effectively measure muscular physiological parameters such as strength, speed, and power during short tests, and are often unsuitable for various types of exercises or require complex and costly setups.
Innovation Solution
A programmable accelerometer that allows users to select test types, automatically measures acceleration data, and calculates and displays relevant muscular physiological values such as force, speed, and power, using a single device without the need for external sensors or complex installations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing accelerometers are used for long-duration exercises or general movement tracking, then they can measure acceleration over extended periods, but they cannot measure muscular physiological parameters such as strength, speed, or power during short tests
Solution Approach 1:
The accelerometer employs dynamic adjustment of sampling frequency based on test type. For short-term muscular tests, it uses high sampling frequency (e.g., 1000 Hz) to capture rapid muscle activations, while for long-term activity tracking, it uses lower sampling frequency. This dynamic adaptation enables the single device to optimize measurement precision for different test purposes without requiring multiple specialized sensors.
Solution Approach 2:
The system changes multiple parameters including sampling frequency, data processing algorithms, and calculation methods based on the selected test type. When a short-term muscular test is detected, the system switches to high-frequency sampling and specialized algorithms for calculating strength, speed, and power parameters. This parameter adaptation allows one accelerometer to serve multiple measurement purposes effectively.
2Adaptability or versatility
If multiple sensors including gyroscopes and direction finders are used to track movement trajectory, then comprehensive movement analysis is achieved, but device complexity and cost increase significantly
Solution Approach 1:
The invention makes the single accelerometer universal by enabling it to perform multiple functions: tracking movement trajectory, measuring muscular physiological parameters, and analyzing movement dynamics. By implementing versatile software algorithms that can process acceleration data for different purposes, the device eliminates the need for separate gyroscopes and direction finders, reducing device complexity while maintaining comprehensive analysis capability.
Solution Approach 2:
The system extracts and utilizes only the necessary information from the acceleration sensor data to achieve comprehensive movement analysis. Instead of requiring multiple sensors, it extracts trajectory information, speed, direction, and muscular parameters from the single accelerometer's output through sophisticated signal processing and algorithmic analysis, thereby simplifying the overall device configuration.
3Reliability
If electrodes and load movement sensors are used to monitor patient lifting movements, then safety monitoring is achieved, but the device becomes impractical for athletic performance measurement
Solution Approach 1:
The invention replaces the complex mechanical and electrical sensor systems (electrodes, load cells) with a simplified accelerometer-based system. The accelerometer mechanically measures acceleration forces during lifting movements, and through algorithmic processing, derives safety parameters and performance metrics. This substitution maintains reliability for safety monitoring while dramatically improving ease of operation for athletic training applications.
4Measurement precision
If accelerometers are designed for specific single-purpose use such as combat sports, then measurement accuracy for that specific test is optimized, but adaptability to other exercise types is limited
Solution Approach 1:
The accelerometer is designed with universal adaptability to measure multiple types of movements and muscular parameters across different exercise modalities. By incorporating versatile algorithms that can process acceleration data for jumping, lifting, running, and other movements, the device achieves measurement precision appropriate for each specific test while maintaining broad adaptability. The system automatically adjusts its measurement and calculation parameters based on the detected or selected test type.
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 easy and accurate measurement of muscular physiological parameters during short tests, providing versatile and cost-effective assessments suitable for various exercises, with automatic test termination and calculation of multiple parameters in real-time.
Implementation Method 1
a three-axis accelerometer 14
Data Source
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AI summary
A method for obtaining a user's physiological muscle values using a programmable accelerometer, the method comprising the following steps: - selection by the user of the type of test to be performed; - measurement of a sequence of acceleration data during the test; - emission of audible signals at the beginning, during, and at the end of the test. The end of the test is determined by verifying a condition dependent on the type of test selected. The audible signals may indicate the start of the test, an action to be performed during the test, or an error condition during the test; - display of a value calculated from said successive acceleration measurements and dependent on the type of test selected.