Non-obstructive monitoring of muscle fatigue for low intensity dynamic exercise with infrared thermography technique

Shakhih, Muhammad Faiz Md; Ridzuan, N.; Wahab, Asnida Abdul; Zainuddin, Nurul Farha; Delestri, Laila Fadhillah Ulta; Rosslan, Anis Suzziani; Kadir, Mohammed Rafiq Abdul

doi:10.1007/s11517-021-02387-x

Cited by 12 publications

(3 citation statements)

References 43 publications

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“…This heat is then expelled into the environment through several processes, including thermal conduction, forced and natural convection, perspiration, and exhalation [26]. Infrared thermal imaging captures the emitted heat through the skin, enabling the identification of asymmetrical patterns in the thermogram associated with alterations in skin temperature distribution [27,28]. A study conducted by Rakhra et al (2013).…”

Section: Discussionmentioning

confidence: 99%

Precision Agriculture: Assessment of Ergonomic Risks of Assisted Driving System

Vitale,

Vella,

Matera

et al. 2024

Applied Sciences

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Background: the precision agriculture field optimizes resource use, enhancing performance. However, this leads to exposure to ergonomic risks for operators, in particular, tractor drivers, potentially causing musculoskeletal disorders (MSDs). This study investigates how the display position in a semi-automatic tractor system influences operator comfort and muscle activation during harrowing operations. Methods: the assessment of muscular strain involved the use of surface electromyographic devices, while posture was evaluated throughout the analysis of the distribution of pressure exerted by the operator’s body on the seat, which was observed using two barometric pads, each positioned on the backrest and base of the seat. Finally, infrared thermography (IRT), a non-invasive tool to assess muscle activation, was used to measure the surface temperature of the driver’s back. The results showed a significantly greater muscular activation display for the position of display in semi-automatic driving at 50° and 80°. Conclusions: this study showed how the position of the display on the vehicle negatively influences posture, exposing workers to the risk of developing fatigue and, therefore, discomfort, with the potential onset of MSDs. The combined use of sEMG and IRT allowed for a non-invasive, cheap, and repeatable mechanical and functionality analysis.

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Section: Discussionmentioning

confidence: 99%

Precision Agriculture: Assessment of Ergonomic Risks of Assisted Driving System

Vitale,

Vella,

Matera

et al. 2024

Applied Sciences

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“…For example, Rodriguez-Sanz et al discovered a significant correlation between EMG MDF and skin temperature after running (Pearson correlation coefficient r = 0.78) [ 23 ]. Moreover, Shakihih et al discovered a statistically significant correlation between the average temperature and the root mean square (RMS) and the MDF of the sEMG signal during repeated calf raises [ 24 ]. In order to assess temporomandibular joint dysfunction in juvenile idiopathic arthritis, the EMG ratio between the masseter and temporalis muscles was estimated from skin temperature [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

Can Data-Driven Supervised Machine Learning Approaches Applied to Infrared Thermal Imaging Data Estimate Muscular Activity and Fatigue?

Perpetuini

Formenti

Cardone

et al. 2023

Sensors

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Surface electromyography (sEMG) is the acquisition, from the skin, of the electrical signal produced by muscle activation. Usually, sEMG is measured through electrodes with electrolytic gel, which often causes skin irritation. Capacitive contactless electrodes have been developed to overcome this limitation. However, contactless EMG devices are still sensitive to motion artifacts and often not comfortable for long monitoring. In this study, a non-invasive contactless method to estimate parameters indicative of muscular activity and fatigue, as they are assessed by EMG, through infrared thermal imaging (IRI) and cross-validated machine learning (ML) approaches is described. Particularly, 10 healthy participants underwent five series of bodyweight squats until exhaustion interspersed by 1 min of rest. During exercising, the vastus medialis activity and its temperature were measured through sEMG and IRI, respectively. The EMG average rectified value (ARV) and the median frequency of the power spectral density (MDF) of each series were estimated through several ML approaches applied to IRI features, obtaining good estimation performances (r = 0.886, p < 0.001 for ARV, and r = 0.661, p < 0.001 for MDF). Although EMG and IRI measure physiological processes of a different nature and are not interchangeable, these results suggest a potential link between skin temperature and muscle activity and fatigue, fostering the employment of contactless methods to deliver metrics of muscular activity in a non-invasive and comfortable manner in sports and clinical applications.

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“…Nevertheless, the study situation in this context is heterogeneous. While no clear correlations between muscle fatigue and thermoregulatory effects have been found [ 10 , 11 ], there certainly seem to be correlations in physiologically measurable parameters, such as electromyography and muscle strength [ 2 , 12 , 13 , 14 ]. Likewise, infrared measurement of skin temperature does not appear to be able to predict delayed onset muscle soreness (DOMS) 24 h after exercise [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Effects of Unilateral Muscle Fatigue on Thermographic Skin Surface Temperature of Back and Abdominal Muscles—A Pilot Study

Dindorf

Bartaguiz

Janowicz

et al. 2022

Sports

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The present study aimed to assess the effects of asymmetric muscle fatigue on the skin surface temperature of abdominal and back muscles. The study was based on a pre-post/follow-up design with one group and included a total of 41 subjects (22 male, 19 female; age, 22.63 ± 3.91; weight, 71.89 ± 12.97 kg; height, 173.36 ± 9.95). All the participants were asked to perform side bends in sets of 20 repetitions on a Roman chair until complete exhaustion. The pre-, post- and follow-up test (24 h after) skin surface temperatures were recorded with infrared thermography. Subjective muscle soreness and muscle fatigue were analyzed using two questionnaires. The results of the post hoc tests showed that skin temperature was statistically significantly lower in the post-tests than in the pre- and follow-up tests, but no meaningful differences existed between the pre- and follow-up tests. Asymmetric side differences were found in the post-test for the upper and lower areas of the back. Differences were also noted for the front in both the upper and lower areas. No thermographic side asymmetries were found at the pre- or follow-up measurement for either the back or the front. Our results support the potential of using thermographic skin surface temperature to monitor exercise and recovery in athletes, as well as its use in rehabilitational exercise selection.

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Non-obstructive monitoring of muscle fatigue for low intensity dynamic exercise with infrared thermography technique

Cited by 12 publications

References 43 publications

Precision Agriculture: Assessment of Ergonomic Risks of Assisted Driving System

Precision Agriculture: Assessment of Ergonomic Risks of Assisted Driving System

Can Data-Driven Supervised Machine Learning Approaches Applied to Infrared Thermal Imaging Data Estimate Muscular Activity and Fatigue?

Effects of Unilateral Muscle Fatigue on Thermographic Skin Surface Temperature of Back and Abdominal Muscles—A Pilot Study

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