2020
DOI: 10.1016/j.bjpt.2018.12.004
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Complexity of knee extensor torque in patients with frailty syndrome: a cross-sectional study

Abstract: Background: Frailty syndrome is characterized by a marked reduction in physiological reserves and a clinical state of vulnerability to stress. Torque complexity analysis could reveal changes in the musculoskeletal systems that are the result of having the syndrome. Objective: The aim of this study was to evaluate the complexity of submaximal isometric knee extensor torque in frail, pre-frail, and non-frail older adults. A secondary aim was to analyze the torque complexity behavior in different force levels in … Show more

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Cited by 9 publications
(9 citation statements)
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“…It was first demonstrated by Vaillancourt and Newell ( 2003 ), who observed a progressive decline in the complexity of index finger abduction force (measured using ApEn and DFA α) during low-intensity isometric contractions from young adults (20–24 years) to old adults (60–69 years) to older-old adults (75–90 years). Recent work has extended this age-related loss of complexity to frailty, with a progressive decrease in ApEn observed when comparing non-frail, pre-frail and frail adults aged over 65 (Carnavale et al, 2020 ).…”
Section: State Of the Art And Recent Developmentsmentioning
confidence: 97%
“…It was first demonstrated by Vaillancourt and Newell ( 2003 ), who observed a progressive decline in the complexity of index finger abduction force (measured using ApEn and DFA α) during low-intensity isometric contractions from young adults (20–24 years) to old adults (60–69 years) to older-old adults (75–90 years). Recent work has extended this age-related loss of complexity to frailty, with a progressive decrease in ApEn observed when comparing non-frail, pre-frail and frail adults aged over 65 (Carnavale et al, 2020 ).…”
Section: State Of the Art And Recent Developmentsmentioning
confidence: 97%
“…If the teacher's teaching method is humorous and vivid, then the facial features of the students will show a positive state, so that they will listen to the lectures with passion and earnestness, and the learning efficiency will be greatly improved [ 19 ]. But if teachers teach in a monotonous and boring way, students will lose interest in listening to the lectures and show negative facial features [ 20 , 21 ]. Therefore, it can be seen that the analysis of facial features can effectively understand the students' classroom learning status.…”
Section: Introductionmentioning
confidence: 99%
“…In the fields of aerospace, sports training, nuclear reactor operations, and deep-sea operations, the physical and mental state of personnel are high, and real-time physiological signal monitoring is performed to assess the fatigue state of personnel, prevent sports fatigue, fatigue operations, and prevent accidents, which can avoid casualties and property damage [1]- [3]. Therefore, it is necessary to monitor the sports fatigue of the above-mentioned personnel.…”
Section: Introductionmentioning
confidence: 99%