Handheld Biometric Analyzer for Dynamic Grip and Cardiovascular Assessment
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Solution Overview
Problem
Current grip strength testing in medicine is limited by static measurements, tool and protocol variability, lack of sensitivity to early changes, limited specificity, and inability to provide comprehensive health assessments, particularly in diverse populations and conditions affecting lower extremities.
Innovation Solution
A handheld automated hand-biometric analyzer with multiple sensors to measure grip strength, cardiovascular parameters, and bioimpedance, capable of dynamic assessments and data aggregation for holistic health evaluation, integrating with local or remote computing devices for real-time feedback and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are integrated into a single handheld device, then measurement comprehensiveness is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensors (load cell sensors for grip strength, cardiovascular sensors for heart rate and blood oxygen, bioimpedance sensors for body composition) into a single handheld analyzer device. This merging approach enables comprehensive health assessments through one device rather than requiring multiple separate tools, directly resolving the contradiction by integrating diverse measurement functions while maintaining a unified device structure.
Solution Approach 2:
The handheld analyzer is designed as a multi-functional device that can perform various health assessments including grip strength measurement, cardiovascular monitoring, bioimpedance analysis, and overall health evaluation. This universal design allows one device to replace multiple specialized tools, improving measurement comprehensiveness without proportionally increasing complexity through standardized sensor integration and centralized processing.
2Measurement precision
If dynamic assessments are implemented, then sensitivity to early changes is improved, but device complexity increases
Solution Approach 1:
The system transitions from static grip strength measurements to dynamic assessments by continuously monitoring grip strength changes during sustained squeezing, tracking cardiovascular parameters over time, and analyzing trends across multiple measurement sessions. This dynamic approach enables detection of early health changes and subtle variations that static measurements would miss, while the automated processing algorithms manage the complexity of analyzing time-varying data.
Solution Approach 2:
The device incorporates real-time feedback mechanisms where measurement results are immediately processed and presented to users, with the system automatically adjusting measurement parameters and providing health recommendations based on detected trends. This feedback loop enhances sensitivity to early changes by continuously comparing current measurements against historical data and establishing personalized baselines, while the automated nature of the feedback processing prevents complexity from escalating.
3Productivity
If automated analysis with real-time feedback is provided, then productivity of health assessment is improved, but device complexity increases
Solution Approach 1:
The handheld analyzer performs automated data processing, analysis, and report generation without requiring external equipment or expert intervention. The device autonomously processes sensor data, compares measurements against health standards, identifies trends, and provides immediate health assessments and recommendations. This self-service capability dramatically improves assessment productivity by eliminating manual analysis steps while the integrated processing architecture keeps complexity manageable within the portable device.
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 more comprehensive and sensitive assessments of hand biometrics, providing real-time feedback and statistical analysis for improved health evaluations, adaptable to diverse populations and conditions, and supporting integration with various devices for enhanced data analysis.
Implementation Method 1
one or more load cell sensors communicatively coupled to the controller and configured to measure a hand grip strength of a user
Implementation Method 2
one or more cardiovascular sensors located on a second portion of the outer surface of the housing and configured to receive a palm of the hand of the user and measure cardiovascular parameters of the user
Data Source
AI summary
An automated hand-biometric analyzer is provided. The analyzer comprises memory, a communication interface, a controller coupled to the memory, communication interface, and one or more load cell sensors configured to measure a hand grip strength of a user. A housing holds the memory, communication interface, controller, and load cell sensors, wherein the housing is configured to be received within the hand of a user. A gripping surface extends along a least a first portion of an outer surface of the housing and includes one or more connection points where the one or more connection points are communicatively coupled to the load cells. One or more cardiovascular sensors located on a second portion of the outer surface of the housing and configured to receive a palm of the hand of the user and measure cardiovascular parameters of the user.