Can stretch sensors measure knee range of motion in healthy adults?

Poomsalood, Somruthai; Muthumayandi, Karthikeyan; Hambly, Karen

doi:10.2478/bhk-2019-0001

Cited by 10 publications

(6 citation statements)

References 25 publications

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“…The FMS is a simple screening test that highlights functional deficits, as well as asymmetries in studied subjects. It is currently employed not only in amateur and professional-level sports, but also in numerous professional groups (such as soldiers or fire-fighters [2,7,13,24,34,39]). A great advantage of this test is its reproducibility.…”

Section: Discussionmentioning

confidence: 99%

“…Such strategies comprise stretching, strengthening, balance and agility exercises, as well as landing techniques [20]. A multi-faceted training programme comprising warm-up, muscular activation exercises, balance exercises, enhancing muscular strength and core muscle stability lowers the frequency of knee injuries in non-contact situations [25,34,38].…”

Section: Introductionmentioning

confidence: 99%

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Functional assessment of women practising combat sports and team sports using the Functional Movement Screen

Boguszewski

Adamczyk

Boguszewska³

et al. 2019

Biomedical Human Kinetics

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Summary Study aim: The objective of the study was to reveal the functional limits of the motor system in women practising combat sports and team sports. Material and methods: 102 women (mean age 25.2 years, body mass 62.2 kg, body height 168.3 cm) practising competitive ITF (International Taekwon-Do Federation) taekwon-do (n = 22), Brazilian jiu-jitsu (BJJ) (n = 15), football (n = 35) and basketball (n = 30) participated in the study. The assessment tool was the FMS test, comprising 7 movement patterns scored on a scale of 0–3. Results: The studied female athletes earned medium scores. Women practising combat sports scored generally higher in the FMS test, although the difference was not significant (combat sports – mean value 15.57 ± 2.39, team sports – mean value 14.72 ± 1.93, difference – p = 0.07). Statistically significant differences (p < 0.05) were observed in the second (hurdle step) and the fifth pattern (active straight leg raise – ASLR). The aggregated FMS results of female taekwon-do (15.77) and BJJ athletes (15.22) were similar. Significant differences (p < 0.05) were observed in one pattern (ASLR). Women practising football (14.77) and basketball (14.67) attained a similar level of results in the test. Statistically significant differences were noted in two trials: footballers scored higher in the ASLR task (p < 0.05), and basketball players scored higher in rotary stability (p < 0.01). Conclusion: A statistically significant result in the FMS test was obtained by martial arts athletes, which may point to a higher level of functional movement, which may be a result of more universal training.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Functional assessment of women practising combat sports and team sports using the Functional Movement Screen

Boguszewski

Adamczyk

Boguszewska³

et al. 2019

Biomedical Human Kinetics

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“…The information recorded could be useful for monitoring the body performance and wellness analysis of an individual. Another application of SRS involves mounting them on the knee joint [25,28,29]. This helps in gaining information about different knee patterns, such as walking, running, jumping, squatting, and various other activities.…”

Section: Wearable Stretch Sensorsmentioning

confidence: 99%

Wearable Stretch Sensors for Human Movement Monitoring and Fall Detection in Ergonomics

Chander

Burch

Talegaonkar

et al. 2020

IJERPH

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Wearable sensors are beneficial for continuous health monitoring, movement analysis, rehabilitation, evaluation of human performance, and for fall detection. Wearable stretch sensors are increasingly being used for human movement monitoring. Additionally, falls are one of the leading causes of both fatal and nonfatal injuries in the workplace. The use of wearable technology in the workplace could be a successful solution for human movement monitoring and fall detection, especially for high fall-risk occupations. This paper provides an in-depth review of different wearable stretch sensors and summarizes the need for wearable technology in the field of ergonomics and the current wearable devices used for fall detection. Additionally, the paper proposes the use of soft-robotic-stretch (SRS) sensors for human movement monitoring and fall detection. This paper also recapitulates the findings of a series of five published manuscripts from ongoing research that are published as Parts I to V of “Closing the Wearable Gap” journal articles that discuss the design and development of a foot and ankle wearable device using SRS sensors that can be used for fall detection. The use of SRS sensors in fall detection, its current limitations, and challenges for adoption in human factors and ergonomics are also discussed.

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“…Many prototype applications have been developed for kinematic measurements (Mengüç et al, 2013; Saucier et al, 2019) and gesture analysis (De Rossi et al, 2000; Lorussi et al, 2004). The StretchSense (StretchSense, Auckland, New Zealand) sensor, a strain-based fabric sensor, has been used to measure joint motion such as knee and wrist flexion (Huang et al, 2017; Poomsalood et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Evaluating Lumbar Shape Deformation With Fabric Strain Sensors

Kim

Schulze

et al. 2020

Hum Factors

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Objective To better study human motion inside the space suit and suit-related contact, a multifactor statistical model was developed to predict torso body shape changes and lumbar motion during suited movement by using fabric strain sensors that are placed on the body. Background Physical interactions within pressurized space suits can pose an injury risk for astronauts during extravehicular activity (EVA). In particular, poor suit fit can result in an injury due to reduced performance capabilities and excessive body contact within the suit during movement. A wearable solution is needed to measure body motion inside the space suit. Methods An array of flexible strain sensors was attached to the body of 12 male study participants. The participants performed specific static lumbar postures while 3D body scans and sensor measurements were collected. A model was created to predict the body shape as a function of sensor signal and the accuracy was evaluated using holdout cross-validation. Results Predictions from the torso shape model had an average root mean square error (RMSE) of 2.02 cm. Subtle soft tissue deformations such as skin folding and bulges were accurately replicated in the shape prediction. Differences in posture type did not affect the prediction error. Conclusion This method provides a useful tool for suited testing and the information gained will drive the development of injury countermeasures and improve suit fit assessments. Application In addition to space suit design applications, this technique can provide a lightweight and wearable system to perform ergonomic evaluations in field assessments.

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Can stretch sensors measure knee range of motion in healthy adults?

Cited by 10 publications

References 25 publications

Functional assessment of women practising combat sports and team sports using the Functional Movement Screen

Functional assessment of women practising combat sports and team sports using the Functional Movement Screen

Wearable Stretch Sensors for Human Movement Monitoring and Fall Detection in Ergonomics

Evaluating Lumbar Shape Deformation With Fabric Strain Sensors

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