Rating of Perceived Effort: Methodological Concerns and Future Directions

Halperin, Israel; Emanuel, Aviv

doi:10.1007/s40279-019-01229-z

Cited by 96 publications

(98 citation statements)

References 66 publications

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“…This is thought to be due to the subjective (emotional) components of fatigue which are believed to be intricately involved with the peripheral components (e.g., glycogen depletion) in the development of the sensation of fatigue [ 53 , 54 ]. We also defined “perceived effort” to the participants prior to the prolonged run and provided descriptive anchors for the number ratings to minimize the subjectivity of RPE [ 55 ].…”

Section: Discussionmentioning

confidence: 99%

Fatigue Monitoring in Running Using Flexible Textile Wearable Sensors

Gholami

Napier

Patiño

et al. 2020

Sensors

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Fatigue is a multifunctional and complex phenomenon that affects how individuals perform an activity. Fatigue during running causes changes in normal gait parameters and increases the risk of injury. To address this problem, wearable sensors have been proposed as an unobtrusive and portable system to measure changes in human movement as a result of fatigue. Recently, a category of wearable devices that has gained attention is flexible textile strain sensors because of their ability to be woven into garments to measure kinematics. This study uses flexible textile strain sensors to continuously monitor the kinematics during running and uses a machine learning approach to estimate the level of fatigue during running. Five female participants used the sensor-instrumented garment while running to a state of fatigue. In addition to the kinematic data from the flexible textile strain sensors, the perceived level of exertion was monitored for each participant as an indication of their actual fatigue level. A stacked random forest machine learning model was used to estimate the perceived exertion levels from the kinematic data. The machine learning algorithm obtained a root mean squared value of 0.06 and a coefficient of determination of 0.96 in participant-specific scenarios. This study highlights the potential of flexible textile strain sensors to objectively estimate the level of fatigue during running by detecting slight perturbations in lower extremity kinematics. Future iterations of this technology may lead to real-time biofeedback applications that could reduce the risk of running-related overuse injuries.

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Section: Discussionmentioning

confidence: 99%

Fatigue Monitoring in Running Using Flexible Textile Wearable Sensors

Gholami

Napier

Patiño

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…Different interpretations of perceived exertion may lead some runners to rate fatigue, whereas others rate discomfort. 33 Standardizing the definition of RPE is important for maintaining the external validity of the measure. Assessing other perceptions, such as fatigue or discomfort, may prove O n l i n e F i r s t more valid as an indicator of internal training load.…”

Section: Limitationsmentioning

confidence: 99%

“…Assessing other perceptions, such as fatigue or discomfort, may prove O n l i n e F i r s t more valid as an indicator of internal training load. 33 Finally, given the self-guided nature of the training program, the intention of week-to-week changes in training for our participants was unknown. Therefore, it is difficult to truly understand whether the specific training-load measures assessed provide more valuable information than training duration alone.…”

Section: Limitationsmentioning

confidence: 99%

Session Rating of Perceived Exertion Combined With Training Volume for Estimating Training Responses in Runners

Napier

Ryan

Menon

et al. 2020

Journal of Athletic Training

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Context Historically, methods of monitoring training loads in runners have used simple and convenient metrics, including the duration or distance run. Changes in these values are assessed on a week-to-week basis to induce training adaptations and manage injury risk. To date, whether different measures of external loads, including biomechanical measures, provide better information regarding week-to-week changes in external loads experienced by a runner is unclear. In addition, the importance of combining internal-load measures, such as session rating of perceived exertion (sRPE), with different external-load measures to monitor week-to-week changes in training load in runners is unknown. Objective To compare week-to-week changes in the training loads of recreational runners using different quantification methods. Design Case series. Setting Community based. Patients or Other Participants Recreational runners in Vancouver, British Columbia. Main Outcome Measure(s) Week-to-week changes in running time, steps, and cumulative shock, in addition to the product of each of these variables and the corresponding sRPE scores for each run. Results Sixty-eight participants were included in the final analysis. Differences were present in week-to-week changes for running time compared with timeRPE (d = 0.24), stepsRPE (d = 0.24), and shockRPE (d = 0.31). The differences between week-to-week changes in running time and cumulative shock were also significant at the overall group level (d = 0.10). Conclusions We found that the use of an internal training-load measure (sRPE) in combination with external load (training duration) provided a more individualized estimate of week-to-week changes in overall training stress. A better estimation of training stress has significant implications for monitoring training adaptations, resulting performance, and possibly injury risk reduction. We therefore recommend the regular use of sRPE and training duration to monitor training load in runners. The use of cumulative shock as a measure of external load in some runners may also be more valid than duration alone.

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“…A common measure of effort in exercise performance is the rate of perceived effort (RPE). Briefly, RPE in sports might be described as the cognitive feeling associated to physical effort (Pageaux, 2016) or the process of investing a given amount of physical or mental resources out of the perceived maximum to perform a specific task (Halperin & Emanuel, 2019). Importantly, RPE might be linked to several executive processes, such as working memory, inhibition, self-control and attention .…”

Section: Role Of Executive Functions On Perceived Exertion During Selmentioning

confidence: 99%

Does self-paced exercise depend on executive processing? A narrative review of the current evidence

Holgado¹,

Sanabria²

2019

Preprint

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Self-paced exercise is any physical activity in which the effort has to be distributed over time in order to achieve the objective of the event. Hence, self-paced aerobic exercise is a goal-directed behaviour towards an objective that involves several cognitive processes. The aim of the present review is to ask the extent to which self-paced exercise might rely on executive functions and the empirical evidence of top-down processing on self-paced exercise. We discuss the evidence from different experimental manipulations showing a potential link between self-paced exercise and executive processing. We finally highlight some gaps in the literature and possible factors that might mediate the role of executive processing and self-paced exercise. Self-paced exercise is likely to be a highly complex process, in which a multitude of factors non-related to executive functions can also contribute to the ultimate decision to upregulate or downregulate exercise intensity.

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Rating of Perceived Effort: Methodological Concerns and Future Directions

Cited by 96 publications

References 66 publications

Fatigue Monitoring in Running Using Flexible Textile Wearable Sensors

Fatigue Monitoring in Running Using Flexible Textile Wearable Sensors

Session Rating of Perceived Exertion Combined With Training Volume for Estimating Training Responses in Runners

Does self-paced exercise depend on executive processing? A narrative review of the current evidence

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