Monitoring hand flexor fatigue in a 24-h motorcycle endurance race

Marina, Míchel; Porta, Jordi; Vallejo, Lisímaco; Angulo, Rigo

doi:10.1016/j.jelekin.2010.11.008

Cited by 21 publications

(22 citation statements)

References 32 publications

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“…The negative trend with fatigue observed in MVC raw and MVC nor confirms the results of previous studies who used MVC nor (Lind & Petrofsky, ; Oksa et al., ; Soo et al., ) and with similar muscle groups and population (Marina et al., ). Force decrement because of fatigue could be explained by several physiological factors as reported in the literature.…”

Section: Discussionsupporting

confidence: 83%

“…This percentage was selected after consulting with expert riders (exclusively National‐ and World Championship‐level winners), who agreed about the perception of applying approximately this percentage of force during a very strong braking in a real situation. The combination of 3 s duration at MVC followed by 1 min recovery and 10 s duration at 50% MVC (section two), was adopted to examine the fatigue replicating the experimental protocol from one of our previous studies with motorcycle riders (Marina et al., ; Fig. b).…”

Section: Methodsmentioning

confidence: 99%

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Force–time course parameters and force fatigue model during an intermittent fatigue protocol in motorcycle race riders

Marina

Ríos

Torrado

et al. 2014

Scandinavian Med Sci Sports

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Fatigue in forearm muscles may be critical for motorcycle riders in relation to performance and forearm disorders. Force-time course parameters were examined to better characterize the reduction in the maximal force generating capacity (MVC) during an intermittent fatigue protocol (IFP) specifically designed for motorcycle riders. Also, a mathematical force fatigue model is proposed. Forty motorcyclists (aged 27.6 ± 6.8 years) performed an IFP that simulated the braking gesture and posture of a rider. Fatigue was confirmed by a 40% decrement of the normalized MVC in comparison with basal value. Contraction time increased in comparison with basal condition (P ≤ 0.034). Relaxation kinetics presented two phases: (a) a pre-fatigue phase where half relaxation time (HRTraw ) and normalized (HRTnor ) decreased (P ≤ 0.013) while relaxation rate (RRraw ) remained unchanged; and (b) a fatiguing phase where HRTraw , HRTnor increased and RRraw decreased (P ≤ 0.047). Normalized RRraw (RRnor ) declined progressively (P ≤ 0.016). The proposed nonlinear force fatigue model confirmed a satisfactory adjustment (R(2) = 0.977 ± 0.018). This mathematical expression derived three patterns of force fatigue: three-phase, exponential and linear, representing 70%, 13%, and 17% of the participants, respectively. Overall, these results provided further support to force fatigue theoretical and applied proposals.

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Section: Discussionsupporting

confidence: 83%

Section: Methodsmentioning

confidence: 99%

Force–time course parameters and force fatigue model during an intermittent fatigue protocol in motorcycle race riders

Marina

Ríos

Torrado

et al. 2014

Scandinavian Med Sci Sports

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“…The study by Marina et al (2011) applied this protocol while examining motorcycle drivers during long distance rides. Instead of measuring during the whole duration of the task being investigated, this protocol split the investigation into a series of sessions and accomplished each with sets of the performance test.…”

Section: Measuring In Several Sessions During Tasksmentioning

confidence: 99%

Exploring study protocols examining muscle fatigue among transportation and transshipment operators: a systematic review

Sa-ngiamsak

2019

IJOOES

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Transportation and transshipment are essential to logistics, which is necessary for enhancing economic growth. Work-related muscle fatigue is widely acknowledged as one of the significant contributors to losses in occupational safety and health. This study was conducted to review applicable electromyography examining protocols and indicators. Three of the available relevant electronic databases were systematically searched, as well as other search engines with a total of 733 articles found. Only 13 articles were considered corresponding to the inclusion criteria. Examining protocols in muscle fatigue assessment were used during real-time, several sessions, beforeafter of the operation and the simulation tasks. Time domain (Root Mean Square: RMS, muscle activity, Maximum Voluntary Contraction: MVC) and frequency domain (Mean Frequency: MNF, Median Frequency: MDF) functioned as fatigue EMG indicators. The Real-time protocol appeared to provide the most comprehensive information, required for an intensive result. Although less information was collected, other study protocols still showed their capability of muscle fatigue investigation, particularly in some cases with limitation from real-world operation tasks.

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“…He or she must also provide continual prompts to the subject. More recent research has employed automated, one-way data collection systems [6][7][8]. A natural extension to this work would be a fully automated ergometer in terms of session control and data acquisition, which could reduce investigator burden by acquiring, processing, displaying, and storing session data.…”

Section: Motivationmentioning

confidence: 99%

“…For example, the use of additional EMG sensors on the subject's forearms will allow the investigative team to track changes in muscle activity prior to, during, and after the onset of fatigue [7]. This will require interface changes and throughput optimization.…”

Section: Future Workmentioning

confidence: 99%

Automated hand-forearm ergometer data collection system

Gude¹,

Broxterman²,

Ade³

et al. 2012

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Abstract-Handgrip contractions are a standard exercise modality to evaluate cardiovascular system performance. Most conventional ergometer systems of this nature are manually controlled, placing a burden on the researcher to guide subject activity while recording the resultant data. This paper presents updates to a hand-forearm ergometer system that automate the control and data-acquisition processes. A LabVIEW virtual instrument serves as the centerpiece for the system, providing the subject/researcher interfaces as well as coordinating data acquisition from both traditional and new sensors. Initial data indicate the viability of the system with regard to its ability to obtain consistent and physiologically meaningful data.

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Monitoring hand flexor fatigue in a 24-h motorcycle endurance race

Cited by 21 publications

References 32 publications

Force–time course parameters and force fatigue model during an intermittent fatigue protocol in motorcycle race riders

Force–time course parameters and force fatigue model during an intermittent fatigue protocol in motorcycle race riders

Exploring study protocols examining muscle fatigue among transportation and transshipment operators: a systematic review

Automated hand-forearm ergometer data collection system

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