Fiber Optical Sensors in Biomechanics

Roriz, Paulo; Ribeiro, A. B. Lobo

doi:10.1016/b978-0-12-803131-5.00010-6

Cited by 8 publications

(2 citation statements)

References 161 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, a field study can better capture the variability in an uncontrolled work setting that is introduced by different heterogeneity sources. Sensors, such as inertial motion and optical fiber systems that have been developed for biomechanics applications [ 34 , 43 , 44 , 45 ], could be employed to support field-based measurement. Second, the duration of task performance in our study may not be sufficient to induce kinematic modifications that are observed in repetitive work settings.…”

Section: Discussionmentioning

confidence: 99%

Adjustments in Shoulder and Back Kinematics during Repetitive Palletizing Tasks

Lamooki

Cavuoto

Kang

2022

Sensors

View full text Add to dashboard Cite

Repetitive task performance is a leading cause of musculoskeletal injuries among order-picking workers in warehouses. The repetition of lifting tasks increases the risk of back and shoulder injuries among these workers. While lifting in this industry is composed of loaded and unloaded picking and placing, the existing literature does not address the separate analysis of the biomechanics of the back and shoulder for these events. To that end, we investigated the kinematics of the back and shoulder movements of nine healthy male participants who performed three sessions of a simulated de/palletization task. Their back and shoulder kinematics were sensed using an optical motion capture system to determine the back inclination and shoulder flexion. Comparison of the kinematics between the first and last sessions indicated statistically significant changes in the timings, angles, coordination between the back and shoulder, and moments around the shoulder (p<0.05). The majority of the significant changes were observed during the loaded events, which confirms the importance of the separation of these events for biomechanical analysis. This finding suggests that focusing worker evaluation on the loaded periods can provide important information to detect kinematic changes that may affect musculoskeletal injury risk.

show abstract

Section: Discussionmentioning

confidence: 99%

Adjustments in Shoulder and Back Kinematics during Repetitive Palletizing Tasks

Lamooki

Cavuoto

Kang

2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Two FBG sensors were encapsulated into a flexible matrix to have a robust system, and to improve the adherence of the sensing elements to the skin and the compliance with the neck movements. FBGs were chosen because of their lightweight, small size, high metrological performances, and immunity to electromagnetic interference [21,[40][41][42][43][44][45][46]. A pilot study on five volunteers aimed at assessing the proposed wearable system in following FE and axial rotation (AR) of the neck, and f R .…”

Section: Introductionmentioning

confidence: 99%

A Multi-Parametric Wearable System to Monitor Neck Movements and Respiratory Frequency of Computer Workers

Presti

Carnevale

D’Abbraccio

et al. 2020

Sensors

View full text Add to dashboard Cite

Musculoskeletal disorders are the most common form of occupational ill-health. Neck pain is one of the most prevalent musculoskeletal disorders experienced by computer workers. Wrong postural habits and non-compliance of the workstation to ergonomics guidelines are the leading causes of neck pain. These factors may also alter respiratory functions. Health and safety interventions can reduce neck pain and, more generally, the symptoms of musculoskeletal disorders and reduce the consequent economic burden. In this work, a multi-parametric wearable system based on two fiber Bragg grating sensors is proposed for monitoring neck movements and breathing activity of computer workers. The sensing elements were positioned on the neck, in the frontal and sagittal planes, to monitor: (i) flexion-extension and axial rotation repetitions, and (ii) respiratory frequency. In this pilot study, five volunteers were enrolled and performed five repetitions of both flexion-extension and axial rotation, and ten breaths of both quite breathing and tachypnea. Results showed the good performances of the proposed system in monitoring the aforementioned parameters when compared to optical reference systems. The wearable system is able to well-match the trend in time of the neck movements (both flexion-extension and axial rotation) and to estimate mean and breath-by-breath respiratory frequency values with percentage errors ≤6.09% and ≤1.90%, during quiet breathing and tachypnea, respectively.

show abstract

Wearable Physical Sensors for Non-invasive Health Monitoring

Nguyen,

Dinh

et al. 2024

Wearable Biosensing in Medicine and Healthcare

View full text Add to dashboard Cite

Fiber Optical Sensors in Biomechanics

Cited by 8 publications

References 161 publications

Adjustments in Shoulder and Back Kinematics during Repetitive Palletizing Tasks

Adjustments in Shoulder and Back Kinematics during Repetitive Palletizing Tasks

A Multi-Parametric Wearable System to Monitor Neck Movements and Respiratory Frequency of Computer Workers

Wearable Physical Sensors for Non-invasive Health Monitoring

Contact Info

Product

Resources

About