Multi-Muscle NIRS Monitoring for Hemodynamic Threshold Analysis
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Solution Overview
Problem
Existing methods for evaluating muscle hemodynamic performance during locomotor activities primarily rely on limited data from one or two muscle tissues, assuming symmetry across all tissues, failing to provide a comprehensive analysis of individual muscle performance and overall physiological limitations.
Innovation Solution
A method utilizing near-infrared spectroscopy (NIRS) devices to monitor multiple muscle tissues simultaneously, capturing hemodynamic data, and integrating heart rate and activity monitors to analyze physiological thresholds, oxidative capacity, and oxygen delivery, enabling detailed evaluation of each muscle tissue's performance during cyclical activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If only one or two NIRS devices are used to evaluate muscle tissues, then the measurement process is simple and quick, but the analysis becomes generic and cannot provide individual muscle tissue performance data
Solution Approach 1:
The patent divides the evaluation into multiple independent measurement points by placing NIRS devices on different muscle tissues (deltoid, vast lateral, rectus femoris, gastrocnemius) to segment the overall muscle performance into individual tissue analyses, enabling both simplicity and precision simultaneously
Solution Approach 2:
The patent transitions from a single-point measurement approach to a multi-dimensional evaluation by measuring multiple muscle tissues simultaneously at different locations, adding spatial dimensionality to the assessment while maintaining operational efficiency
2Device complexity
If data from one or two muscle tissues is used to represent all muscle tissues, then the evaluation remains manageable, but it assumes symmetry that may not exist in all athletes
Solution Approach 1:
The patent segments the evaluation across multiple muscle tissue locations, measuring each tissue individually while maintaining overall system manageability through standardized protocols and integrated data processing
Solution Approach 2:
The patent applies local quality measurement by evaluating each muscle tissue's specific hemodynamic characteristics rather than assuming uniform performance across all tissues, allowing identification of individual tissue limitations while keeping the overall system organized
3Measurement precision
If multiple NIRS devices are placed on all muscle tissues to get comprehensive data, then individual muscle performance can be analyzed accurately, but the setup time and complexity increase
Solution Approach 1:
The patent performs preliminary actions by pre-positioning NIRS devices on standardized locations and pre-configuring the measurement protocol before the actual measurement, enabling rapid data collection across multiple muscle tissues without increasing setup time
Solution Approach 2:
The patent ensures continuity of useful action by measuring multiple muscle tissues in a continuous, integrated manner rather than sequentially isolating each tissue, maintaining measurement flow efficiency while gathering comprehensive data
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
Provides a comprehensive analysis of muscle hemodynamic performance, identifying individual and collective muscle tissue performance, physiological thresholds, and limiting factors, allowing for precise evaluation and improvement of locomotor activity.
Implementation Method 1
a monitoring and evaluation method of muscle hemodynamic performance, in particular a monitoring and evaluation method based on the use of near infrared sensors (NIRS)
Data Source
AI summary
Monitoring and evaluation method of muscle hemodynamic performance during a cyclical locomotor activity that includes the stages of provide one or more NIRS sensors, place the sensors on muscle tissues, provide a heart rate monitor and a locomotor intensity meter, obtain data relative to SmO2%, ThB, of each of the muscle tissues, heart rate (bpm) and locomotor intensity data, calculate the values of SmO2%, O2HHb and HHb, ΦO2HHb and ΦHHb, ThB and ΦThB, calculate the general trend line, calculate and obtain the physiological thresholds of each muscle tissue and the general thresholds, evaluate and/or compare the evolution and trend between two or more of the muscle tissues to determine the performance of the physiological sub-factors that make up the performance of muscle oxidative capacity and/or the delivery capacity of oxygen-charged and oxygen-discharged blood.