Evaluation of the controlled grip force exertion tasks associated with age, gender, handedness and target force level

Choi, Kyeong‐Hee; Kim, Daemin; Lee, Sung-Yong; Lee, Jun-Hyub; Kong, Yong‐Ku

doi:10.1080/10803548.2017.1322832

Cited by 9 publications

(3 citation statements)

References 41 publications

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“…There was no significant difference of the mean values of the non-dominant side between both groups. Choi et al [27] said that there is a decrease in hand function based on aging was more significant in females than males. This contradicted to our result of the current study that indicated by the independent t test, there were no significant differences (p>0.05) in the mean values of age.…”

Section: Discussionmentioning

confidence: 99%

Effect of manually applied device on hand strength and functions in physiotherapists

Mohamed¹,

Elsayed²,

Amin³

2021

jlsb

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Section: Discussionmentioning

confidence: 99%

Effect of manually applied device on hand strength and functions in physiotherapists

Mohamed¹,

Elsayed²,

Amin³

2021

jlsb

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“…This suggests that the grip strengths exerted by the former and the latter groups were 18.2-54.6N and 28.1-84.4N, respectively, in the low demand value phase (5%-15% of MVC), whereas that in the high demand value phase (15%-25% of MVC) were 54.6-91.0 N and 84.4-140.7 N, respectively. Choi et al [25] reported that the effect of grip strength on the error between pursuing the target (demand value) and the exerted value was larger at low demand value phase, but small at demand values over 15% MVC. The hypothesis of this study was not supported in the high demand value phase.…”

Section: Discussionmentioning

confidence: 99%

Effect of Grip Strength on Controlled Force Exertion in Different Strength Exertion Phases in Young Men

Nagasawa¹,

Demura²

2019

AJSSM

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It is important to develop a method for the accurate measurement of controlled force exertion (CFE).The CFE test requires subjects to exert force while coordinating submaximal grip strength; therefore, grip strength may affect the CFE value. This study examined the differences in measured values in low and high phases of demand value in the CFE test and the relationship between the measured values and grip strength using 54 healthy young males aged 19-23 years. On the basis of standard values of grip strength related to age (455.7 ± 67.6 N), participants were divided into the following three groups: G1, with low grip strength (n = 13, mean age, 19.9 years, standard deviation (SD) = 0.8 years); G2, with medium grip strength (n = 33, mean age, 20.6 years, SD = 1.3 years); and G3, with high grip strength (n = 8, mean age, 21.6 years, SD = 0.7 years). The participants adjusted the submaximal grip strength of their dominant hands according to changes in the demand values, which were displayed as a sinusoidal waveform with a frequency of 0.1 Hz on a computer screen. The test, which lasted for 40 s, was performed three times, with one-minute intervals, after one practice trial. The sum of the differences between the demand value and the measured grip exertion value in the low demand value phase [5%-15% maximum voluntary contraction (MVC)] and high demand value phase [15%-25% MVC] for 30 s was used as the evaluation parameter. Significant differences were found in the measured CFE values of the three groups only in the low demand value phase (F = 3.43, p < 0.05), and the values for G3 were lower than those for G1 and G2, but the effect size (η 2 ) was low (η 2 = 0.12). The CFE values showed significant low correlation with grip strength only in the high demand value phase (r= −0.32, p < 0.05). We inferred that the difference in maximum grip strength has a negligible effect on the measured value in both low and high demand value phases of the CFE test in young males.

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“…The potential for using the pressure sensors as part of a 'return © 2018 Occupational Therapy Australia 3D PRINTED SENSORS FOR HAND STRENGTH ASSESSMENT to work' threshold or for biofeedback in rehabilitation warrants further investigation. It could also be worthwhile examining the effect of multifinger force production using the pressure-sensing fabric, as stipulated in a recent publication by Choi, Kim, Lee, Lee and Kong (2017).…”

Section: Recommendationsmentioning

confidence: 99%

Open‐source 3D printed sensors for hand strength assessment: Validation of low‐cost load cell and fabric sensor‐based systems

Cutler

Hamilton

Hough

et al. 2018

Aus Occup Therapy J

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This study lays the foundation for these sensor systems to be modified for use as assessment tools during the performance of functional tasks using everyday objects. Additionally, because both systems generate real-time force data they could be used for biofeedback as part of rehabilitation and strengthening programs. To aid uptake and future research using these systems, the 3D print models, step-by-step hardware design and software programs used are provided in an open-source format at www.rehabtools.org/otsensors.html.

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Evaluation of the controlled grip force exertion tasks associated with age, gender, handedness and target force level

Abstract: The results of this study could be used for hand function evaluation guidelines. In addition, this study could be used as a tool for physiotherapy to improve hand function and prevent its decline in elderly people.

Cited by 9 publications

References 41 publications

Effect of manually applied device on hand strength and functions in physiotherapists

Effect of manually applied device on hand strength and functions in physiotherapists

Effect of Grip Strength on Controlled Force Exertion in Different Strength Exertion Phases in Young Men

Open‐source 3D printed sensors for hand strength assessment: Validation of low‐cost load cell and fabric sensor‐based systems

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