Differences in grip force control between young and late middle-aged adults
Grip force control is a crucial function for human to guarantee the quality of life. To examine the effects of age on grip force control, 10 young adults and 11 late middle-aged adults participated in visually guided tracking tasks using different target force levels (25, 50, and 75% of the subject’...
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| Published in | Australasian physical & engineering sciences in medicine Vol. 40; no. 3; pp. 595 - 602 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Dordrecht
Springer Netherlands
01.09.2017
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0158-9938 1879-5447 1879-5447 |
| DOI | 10.1007/s13246-017-0567-x |
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| Abstract | Grip force control is a crucial function for human to guarantee the quality of life. To examine the effects of age on grip force control, 10 young adults and 11 late middle-aged adults participated in visually guided tracking tasks using different target force levels (25, 50, and 75% of the subject’s maximal grip force). Multiple measures were used to evaluate the tracking performance during force rising phase and force maintenance phase. The measurements include the rise time, fuzzy entropy, mean force percentage, coefficient of variation, and target deviation ratio. The results show that the maximal grip force was significantly lower in the late middle-aged adults than in the young adults. The time of rising phase was systematically longer among late middle-aged adults. The fuzzy entropy is a useful indicator for quantitating the force variability of the grip force signal at higher force levels. These results suggest that the late middle-aged adults applied a compensatory strategy that allow allows for sufficient time to reach the required grip force and reduce the impact of the early and subtle degenerative changes in hand motor function. |
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| AbstractList | Grip force control is a crucial function for human to guarantee the quality of life. To examine the effects of age on grip force control, 10 young adults and 11 late middle-aged adults participated in visually guided tracking tasks using different target force levels (25, 50, and 75% of the subject's maximal grip force). Multiple measures were used to evaluate the tracking performance during force rising phase and force maintenance phase. The measurements include the rise time, fuzzy entropy, mean force percentage, coefficient of variation, and target deviation ratio. The results show that the maximal grip force was significantly lower in the late middle-aged adults than in the young adults. The time of rising phase was systematically longer among late middle-aged adults. The fuzzy entropy is a useful indicator for quantitating the force variability of the grip force signal at higher force levels. These results suggest that the late middle-aged adults applied a compensatory strategy that allow allows for sufficient time to reach the required grip force and reduce the impact of the early and subtle degenerative changes in hand motor function. Grip force control is a crucial function for human to guarantee the quality of life. To examine the effects of age on grip force control, 10 young adults and 11 late middle-aged adults participated in visually guided tracking tasks using different target force levels (25, 50, and 75% of the subject's maximal grip force). Multiple measures were used to evaluate the tracking performance during force rising phase and force maintenance phase. The measurements include the rise time, fuzzy entropy, mean force percentage, coefficient of variation, and target deviation ratio. The results show that the maximal grip force was significantly lower in the late middle-aged adults than in the young adults. The time of rising phase was systematically longer among late middle-aged adults. The fuzzy entropy is a useful indicator for quantitating the force variability of the grip force signal at higher force levels. These results suggest that the late middle-aged adults applied a compensatory strategy that allow allows for sufficient time to reach the required grip force and reduce the impact of the early and subtle degenerative changes in hand motor function.Grip force control is a crucial function for human to guarantee the quality of life. To examine the effects of age on grip force control, 10 young adults and 11 late middle-aged adults participated in visually guided tracking tasks using different target force levels (25, 50, and 75% of the subject's maximal grip force). Multiple measures were used to evaluate the tracking performance during force rising phase and force maintenance phase. The measurements include the rise time, fuzzy entropy, mean force percentage, coefficient of variation, and target deviation ratio. The results show that the maximal grip force was significantly lower in the late middle-aged adults than in the young adults. The time of rising phase was systematically longer among late middle-aged adults. The fuzzy entropy is a useful indicator for quantitating the force variability of the grip force signal at higher force levels. These results suggest that the late middle-aged adults applied a compensatory strategy that allow allows for sufficient time to reach the required grip force and reduce the impact of the early and subtle degenerative changes in hand motor function. |
| Author | Song, Rong Wang, Qian Liu, Guanzheng Zheng, Lianrong Li, Kunyang Chen, Wenhui |
| Author_xml | – sequence: 1 givenname: Lianrong surname: Zheng fullname: Zheng, Lianrong organization: Department of Biomedical Engineering, School of Engineering, Sun Yat-sen University, Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Engineering, Sun Yat-sen University, Guangdong Provincial Engineering and Technology Centre of Advanced and Portable Medical Device – sequence: 2 givenname: Kunyang surname: Li fullname: Li, Kunyang organization: Department of Biomedical Engineering, School of Engineering, Sun Yat-sen University, Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Engineering, Sun Yat-sen University, Guangdong Provincial Engineering and Technology Centre of Advanced and Portable Medical Device – sequence: 3 givenname: Qian surname: Wang fullname: Wang, Qian organization: Department of Biomedical Engineering, School of Engineering, Sun Yat-sen University, Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Engineering, Sun Yat-sen University, Guangdong Provincial Engineering and Technology Centre of Advanced and Portable Medical Device – sequence: 4 givenname: Wenhui surname: Chen fullname: Chen, Wenhui organization: Department of Biomedical Engineering, School of Engineering, Sun Yat-sen University, Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Engineering, Sun Yat-sen University, Guangdong Provincial Engineering and Technology Centre of Advanced and Portable Medical Device – sequence: 5 givenname: Rong surname: Song fullname: Song, Rong email: songrong@mail.sysu.edu.cn organization: Department of Biomedical Engineering, School of Engineering, Sun Yat-sen University, Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Engineering, Sun Yat-sen University, Guangdong Provincial Engineering and Technology Centre of Advanced and Portable Medical Device – sequence: 6 givenname: Guanzheng surname: Liu fullname: Liu, Guanzheng email: liugzh3@163.com organization: Department of Biomedical Engineering, School of Engineering, Sun Yat-sen University, Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Engineering, Sun Yat-sen University, Guangdong Provincial Engineering and Technology Centre of Advanced and Portable Medical Device |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28831682$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1016_j_ergon_2020_103080 |
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| Keywords | Aging Fuzzy entropy (FuzzyEn) Maximal grip force Grip force control |
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| Title | Differences in grip force control between young and late middle-aged adults |
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