Clutch Pedal Sensorization and Evaluation of the Main Parameters Related to Driver Posture

Olmeda, Ester; Toro, Sergio Fuentes del; Garrosa, María; Redondo, Jonatan Pajares; Díaz, Vicente

doi:10.3390/s18092797

Cited by 4 publications

(4 citation statements)

References 21 publications

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“…The benefits of muscle fatigue detection can be implemented in several fields, such as sports medicine and performance, human-computer interactions, ergonomics [7], rehabilitation medicine, physiotherapy, neurophysiology, kinesiology and prosthetics. This wide field of uses is the main reason why this work seeks to demonstrate a procedure to assess and detect muscle fatigue.…”

Section: Introductionmentioning

confidence: 99%

Is the Use of a Low-Cost sEMG Sensor Valid to Measure Muscle Fatigue?

Toro

Santos-Cuadros

Olmeda

et al. 2019

Sensors

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Injuries caused by the overstraining of muscles could be prevented by means of a system which detects muscle fatigue. Most of the equipment used to detect this is usually expensive. The question then arises whether it is possible to use a low-cost surface electromyography (sEMG) system that is able to reliably detect muscle fatigue. With this main goal, the contribution of this work is the design of a low-cost sEMG system that allows assessing when fatigue appears in a muscle. To that aim, low-cost sEMG sensors, an Arduino board and a PC were used and afterwards their validity was checked by means of an experiment with 28 volunteers. This experiment collected information from volunteers, such as their level of physical activity, and invited them to perform an isometric contraction while an sEMG signal of their quadriceps was recorded by the low-cost equipment. After a wavelet filtering of the signal, root mean square (RMS), mean absolute value (MAV) and mean frequency (MNF) were chosen as representative features to evaluate fatigue. Results show how the behaviour of these parameters across time is shown in the literature coincides with past studies (RMS and MAV increase while MNF decreases when fatigue appears). Thus, this work proves the feasibility of a low-cost system to reliably detect muscle fatigue. This system could be implemented in several fields, such as sport, ergonomics, rehabilitation or human-computer interactions.

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Section: Introductionmentioning

confidence: 99%

Is the Use of a Low-Cost sEMG Sensor Valid to Measure Muscle Fatigue?

Toro

Santos-Cuadros

Olmeda

et al. 2019

Sensors

Self Cite

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“…For that reason, EMG devices are used in many research fields, such as biomedical, ergonomics, physiotherapy or sports performance applications, where it is very important to assess the behaviour of the muscles throughout the task [4] based on the changes in the electrical signal [5,6,7,8,9,10]. Moreover, this kind of technology can be used to improve other studies [11].…”

Section: Introductionmentioning

confidence: 99%

Validation of a Low-Cost Electromyography (EMG) System via a Commercial and Accurate EMG Device: Pilot Study

Toro

Wei

Olmeda

et al. 2019

Sensors

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Electromyography (EMG) devices are well-suited for measuring the behaviour of muscles during an exercise or a task, and are widely used in many different research areas. Their disadvantage is that commercial systems are expensive. We designed a low-cost EMG system with enough accuracy and reliability to be used in a wide range of possible ways. The present article focuses on the validation of the low-cost system we designed, which is compared with a commercially available, accurate device. The evaluation was done by means of a set of experiments, in which volunteers performed isometric and dynamic exercises while EMG signals from the rectus femoris muscle were registered by both the proposed low-cost system and a commercial system simultaneously. Analysis and assessment of three indicators to estimate the similarity between both signals were developed. These indicated a very good result, with spearman’s correlation averaging above 0.60, the energy ratio close to the 80% and the linear correlation coefficient approximating 100%. The agreement between both systems (custom and commercial) is excellent, although there are also some limitations, such as the delay of the signal (<1 s) and noise due to the hardware and assembly in the proposed system.

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“…The contemporary lifestyle has created new functional demands such as driving and other pedal operations at different postures (Olmeda, Fuentes del Toro, Garrosa, Pajares Redondo, & Díaz, ), in which the visuomotor control is a key functional task rather than an artificial, secondary or optional task. Rehabilitation using visuomotor tasks in the lower limb is, therefore, desired for a range of daily activities.…”

Section: Discussionmentioning

confidence: 99%

Visuomotor control of ankle joint using position vs. force

Farjadian

Nabian

Hartman

et al. 2019

Eur J of Neuroscience

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Ankle joint plays a critical role in daily activities involving interactions with environment using force and position control. Neuromechanical dysfunctions (e.g., due to stroke or brain injury), therefore, have a major impact on individuals’ quality of life. The effective design of neuro‐rehabilitation protocols for robotic rehabilitation platforms relies on understanding the control characteristics of the ankle joint in interaction with external environment using force and position, as the findings in upper limb may not be generalizable to the lower limb. This study aimed to characterize the skilled performance of ankle joint in visuomotor position and force control. A two‐degree‐of‐freedom (DOF) robotic footplate was used to measure individuals’ force and position. Healthy individuals (n = 27) used ankle force or position for point‐to‐point and tracking control tasks in 1‐DOF and 2‐DOF virtual game environments. Subjects’ performance was quantified as a function of accuracy and completion time. In contrast to comparable performance in 1‐DOF control tasks, the performance in 2‐DOF tasks was different and had characteristic patterns in the position and force conditions, with a significantly better performance for position. Subjective questionnaires on the perceived difficulty matched the objective experimental results, suggesting that the poor performance in force control was not due to experimental set‐up or fatigue but can be attributed to the different levels of challenge needed in neural control. It is inferred that in visuomotor coordination, the neuromuscular specialization of ankle provides better control over position rather than force. These findings can inform the design of neuro‐rehabilitation platforms, selection of effective tasks and therapeutic protocols.

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Clutch Pedal Sensorization and Evaluation of the Main Parameters Related to Driver Posture

Cited by 4 publications

References 21 publications

Is the Use of a Low-Cost sEMG Sensor Valid to Measure Muscle Fatigue?

Is the Use of a Low-Cost sEMG Sensor Valid to Measure Muscle Fatigue?

Validation of a Low-Cost Electromyography (EMG) System via a Commercial and Accurate EMG Device: Pilot Study

Visuomotor control of ankle joint using position vs. force

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