FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2273584238> ?p ?o ?g. }

• W2273584238 abstract "Muscle fatigue is commonly associated with the musculoskeletal disorder problem. Since muscle fatigue is not a physical parameter, it is impossible to measure the value directly. Previously, various techniques were proposed to index the muscle fatigue relying on otherparameters that are correlated to the development of muscle fatigue. However, the fatigue index is commonly used to observe the onset of muscle fatigue, instead of quantifying the discrete value. The goal of this study is to propose a practical method so that the degree of muscle fatigue can be estimated quantitatively. This study is carried out in two stages. In the first stage, the study is focused onisometric muscle contraction. Here, the model of muscle fatigue is constructed by assuming that it is equivalent to the force loss after performing some muscular work. In addition, we proposed a method to estimate the muscle fatigue from surface electromyography (SEMG) signal to replace the dynamometer. This is because the non-invasive and non-intrusive characteristic is essential, when its practicability is a major concern. As for the second stage,the modeling of muscle recovery is proposed. This model is used to estimate the amount of muscle fatigue that is recovered over time. By integrating both fatigue and recovery model, we are able to quantify the muscle fatigue for dynamic muscle contraction. The main function of the force estimation model is to compute the hand grip force from SEMG signal during fatiguing muscle contraction tasks. The appropriate frequency range was analyzed using various combinations of a wavelet scale, and the highest accuracy was achieved at a range between 242 Hz and 365 Hz. After that, eight healthy individuals performed a series of isometric contraction tasks (20%, 30%, 50%, and 70% MVC) anddynamic contraction tasks (0 - 50% MVC) to evaluate the performance of this technique. The comparison is made with the former method that based on the root mean square of SEMGsignal. Both methods had comparable results at the beginning of the experiments, which is before the onset of muscle fatigue. However, differences were clearly observed as the degree of muscle fatigue began to increase toward the endurance time. Under this condition, the estimated handgrip force using the proposed method improved by 5% to 40% for isometric contraction tasks and 40% for dynamic contraction tasks. This study overcomes the limitationof the earlier method during fatiguing muscle contraction tasks and, therefore, unlocks the potential of utilizing the SEMG signal as an indirect force estimation method.The fatigue model is proposed as the solution to quantitatively estimate the degree of muscle fatigue. An exponential-based fatigue model is constructed that represents the relationship between the handgrip work and the maximal voluntary contraction loss, is constructed. In this study, it is assumed that the force loss due to the muscular work is equivalent to the degree of muscle fatigue. With the force estimation model, the degreemuscle fatigue can be quantified from the handgrip force estimated using the SEMG signal captured from the forearm muscles. Eight male subjects volunteered in this study to perform a series of isometric handgrip tasks at three different contraction levels. First the fatigue modelis calibrated for each subject. Then, the degree of muscle fatigue is estimated based on the amount of hand grip work performing in the tasks. The evaluation is carried out by comparing the force loss that is measured by a dynamometer and the one estimated using the SEMG signal. On average, the estimated error is less than 10% MVC. The error is correlated to the force level estimated from the SEMG signal since the handgrip work is the independent parameter of the proposed fatigue model. The recovery model is proposed to represent the relationship between the musclefatigue and the recovery durations. Three experiments were conducted at 50% MVC with the contraction time of 10 s, 30 s and 50 s. Every experiment consists of 5 handgrip tasks with different rest interval. The maximal isometric forces during the pre-fatigue and post-fatigue were recorded to compute the muscle fatigue developed from each handgrip tasks. An exponential function is used to model the relationship between the muscle recovery and restinterval. With this model, the amount of muscle fatigue that is recovered given the rest duration can be estimated. This is important especially during dynamic muscle contraction." @default.
• W2273584238 created "2016-06-24" @default.
• W2273584238 creator A5012493775 @default.
• W2273584238 date "2010-01-01" @default.
• W2273584238 modified "2023-09-24" @default.
• W2273584238 title "Quantitative Estimation Of Muscle Fatigue In Handgrip Tasks Using Surface Electromyography" @default.
• W2273584238 hasPublicationYear "2010" @default.
• W2273584238 type Work @default.
• W2273584238 sameAs 2273584238 @default.
• W2273584238 citedByCount "0" @default.
• W2273584238 crossrefType "dissertation" @default.
• W2273584238 hasAuthorship W2273584238A5012493775 @default.
• W2273584238 hasConcept C102284421 @default.
• W2273584238 hasConcept C103486182 @default.
• W2273584238 hasConcept C105702510 @default.
• W2273584238 hasConcept C127413603 @default.
• W2273584238 hasConcept C136229726 @default.
• W2273584238 hasConcept C146978453 @default.
• W2273584238 hasConcept C154945302 @default.
• W2273584238 hasConcept C1862650 @default.
• W2273584238 hasConcept C2776050358 @default.
• W2273584238 hasConcept C2776874296 @default.
• W2273584238 hasConcept C2777515770 @default.
• W2273584238 hasConcept C41008148 @default.
• W2273584238 hasConcept C47432892 @default.
• W2273584238 hasConcept C71924100 @default.
• W2273584238 hasConcept C99508421 @default.
• W2273584238 hasConceptScore W2273584238C102284421 @default.
• W2273584238 hasConceptScore W2273584238C103486182 @default.
• W2273584238 hasConceptScore W2273584238C105702510 @default.
• W2273584238 hasConceptScore W2273584238C127413603 @default.
• W2273584238 hasConceptScore W2273584238C136229726 @default.
• W2273584238 hasConceptScore W2273584238C146978453 @default.
• W2273584238 hasConceptScore W2273584238C154945302 @default.
• W2273584238 hasConceptScore W2273584238C1862650 @default.
• W2273584238 hasConceptScore W2273584238C2776050358 @default.
• W2273584238 hasConceptScore W2273584238C2776874296 @default.
• W2273584238 hasConceptScore W2273584238C2777515770 @default.
• W2273584238 hasConceptScore W2273584238C41008148 @default.
• W2273584238 hasConceptScore W2273584238C47432892 @default.
• W2273584238 hasConceptScore W2273584238C71924100 @default.
• W2273584238 hasConceptScore W2273584238C99508421 @default.
• W2273584238 hasLocation W22735842381 @default.
• W2273584238 hasOpenAccess W2273584238 @default.
• W2273584238 hasPrimaryLocation W22735842381 @default.
• W2273584238 hasRelatedWork W1500165277 @default.
• W2273584238 hasRelatedWork W2011093860 @default.
• W2273584238 hasRelatedWork W2023223144 @default.
• W2273584238 hasRelatedWork W2028169656 @default.
• W2273584238 hasRelatedWork W2085001940 @default.
• W2273584238 hasRelatedWork W2090492819 @default.
• W2273584238 hasRelatedWork W2112144073 @default.
• W2273584238 hasRelatedWork W2139823603 @default.
• W2273584238 hasRelatedWork W2344467557 @default.
• W2273584238 hasRelatedWork W2358099244 @default.
• W2273584238 hasRelatedWork W2403064380 @default.
• W2273584238 hasRelatedWork W2493964779 @default.
• W2273584238 hasRelatedWork W2625289695 @default.
• W2273584238 hasRelatedWork W2736910798 @default.
• W2273584238 hasRelatedWork W2762600054 @default.
• W2273584238 hasRelatedWork W2765214280 @default.
• W2273584238 hasRelatedWork W2776140933 @default.
• W2273584238 hasRelatedWork W2809654049 @default.
• W2273584238 hasRelatedWork W3082250043 @default.
• W2273584238 hasRelatedWork W358601536 @default.
• W2273584238 isParatext "false" @default.
• W2273584238 isRetracted "false" @default.
• W2273584238 magId "2273584238" @default.
• W2273584238 workType "dissertation" @default.