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Comparison of Hand Grip Strength among Health Care Workers and Students

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Background: The information is gathered from a wide spectrum of health-care professionals, including medical students, nurses, and doctors. The study takes place at SMCH in Chennai. For students and health workers, the offered data is also utilized to compare handgrip strength between right and left handgrip. MATLAB software is used to analyze hand grip strength among health care personnel and students, and the results are far more efficient than traditional methods. Objective: The objective of this study is to compare hand grip strength in South Indian health care workers and students under normal and sex impact situations. Methodology: A grip strength test will almost certainly be performed if you consult an occupational or physical therapist for any problem involving weakness. A hand-held dynamometer is commonly used to assess grip strength. The patient squeezes the dynamometer three times with each hand, using all of their strength. The comparison of different types of data will be analyzed in the proposed method by using MATLAB software. Results: This is the first study to develop models for evaluating the strength of different types of hand grips. Gender is the most important demographic variable to include when analyzing models. The comparison analysis resulting in images shows the value of each comparison. When compared to the non-dominant and left hands, the dominant and right hands demonstrated superior grip strength. Regular assessments of hand grip strength, hand anthropometric characteristics, and hand disability level are recommended as part of routine examinations in order to detect the amount of physical disability. Conclusion: Gender is the most important demographic variable in comparison of models. Although power grip strength is common in many sports, it may not be a strong predictor of thumb push and ball of thumb strength. The students and the health care workers are classified and their hand grip strength is calculated successfully. For convenience and time savings, there are two types of hand strength.
Title: Comparison of Hand Grip Strength among Health Care Workers and Students
Description:
Background: The information is gathered from a wide spectrum of health-care professionals, including medical students, nurses, and doctors.
The study takes place at SMCH in Chennai.
For students and health workers, the offered data is also utilized to compare handgrip strength between right and left handgrip.
MATLAB software is used to analyze hand grip strength among health care personnel and students, and the results are far more efficient than traditional methods.
Objective: The objective of this study is to compare hand grip strength in South Indian health care workers and students under normal and sex impact situations.
Methodology: A grip strength test will almost certainly be performed if you consult an occupational or physical therapist for any problem involving weakness.
A hand-held dynamometer is commonly used to assess grip strength.
The patient squeezes the dynamometer three times with each hand, using all of their strength.
The comparison of different types of data will be analyzed in the proposed method by using MATLAB software.
Results: This is the first study to develop models for evaluating the strength of different types of hand grips.
Gender is the most important demographic variable to include when analyzing models.
The comparison analysis resulting in images shows the value of each comparison.
When compared to the non-dominant and left hands, the dominant and right hands demonstrated superior grip strength.
Regular assessments of hand grip strength, hand anthropometric characteristics, and hand disability level are recommended as part of routine examinations in order to detect the amount of physical disability.
Conclusion: Gender is the most important demographic variable in comparison of models.
Although power grip strength is common in many sports, it may not be a strong predictor of thumb push and ball of thumb strength.
The students and the health care workers are classified and their hand grip strength is calculated successfully.
For convenience and time savings, there are two types of hand strength.

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