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Internet of Things dynamic dynamometer to measure handgrip strength
Melissa S Lee1, Alexander W Lee1, Daniel P Yeh2
1Chino Premier Surgery Center, Department Surgery, 5562 Philadelphia St Ste 111, Chino, California 91710, USA.
This study introduces a new sensor-integrated dynamometer for measuring handgrip strength. The device wirelessly captures dynamic force, providing detailed insights into patient health beyond maximum force.
Area of Science:
- Biomedical Engineering
- Medical Diagnostics
- Rehabilitation Technology
Background:
- Handgrip strength is a critical health indicator and predictor of mortality.
- Conventional dynamometers primarily measure maximum force, limiting comprehensive assessment.
- There is a need for advanced tools to capture dynamic handgrip performance.
Purpose of the Study:
- To develop and present a novel sensor-integrated dynamometer for dynamic handgrip strength analysis.
- To enable wireless data capture and real-time graphical display of handgrip force.
- To provide deeper clinical insights through comprehensive data analysis.
Main Methods:
- Development of a sensor-integrated dynamometer with wireless data transmission.
- Implementation of a web-based platform for data visualization and accessibility.
- Algorithm development for analyzing dynamic force, rate of change, duration, rest times, and tremor detection.
Main Results:
- The system successfully captures and displays dynamic handgrip force wirelessly.
- Detailed analysis provides metrics on force exertion over time, squeeze duration, and rest periods.
- The system detects hand tremors, offering additional diagnostic information.
Conclusions:
- The sensor-integrated dynamometer offers a more comprehensive assessment of handgrip strength than traditional methods.
- This technology provides valuable data for evaluating patient hand strength and overall health.
- The system has the potential to enhance clinical decision-making in various medical fields.
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