7 research outputs found

    MUSCULOSKELETAL MODELLING OF HANDCYCLING MOTION ON AN EROGOMETER: INFLUENCE OF CRANK POSITION ON TRAINING PURPOSES.

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    The objective of this study was to examine the influence of crank position during hand cycling on muscle forces and Glenohumeral joint reaction forces. Twelve male subjects performed 16 trials with variation in crank parameters. 3D motion capturing (Vicon) and custom made handlebars (Kistler force sensors) were used to determine kinematic and kinetic data. Musculoskeletal modelling (AnyBody) was used for calculations of joint contact and muscle forces. Significant difference was found between settings and muscle forces (p=0.006) and Glenohumeral joint reaction forces (p=0.000). For the m. Brachialis, the m. Latissimus Dorsi and the m. Deltoideus Scapularis, an optimal setting was found. The antero- posterior and distraction force are minimized with horizontal handlebars, a small crank width and long crank arms

    HANDLE REACTION FORCES IN HANDCYCLING ON AN ERGOMETER

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    The purpose of this study was to develop a three dimensional sensitive dynamometric handcycling grip and to examine the influence of grip positioning on hand contact forces during low resistance arm cranking. Contact forces of ten male subjects were measured at a neutral grip position, increased crank arm length and increased grip width. The findings suggest a pushdown-pull cranking pattern. Therefore shoulder extensors and elbow flexors may have an important role in force generation. Changes at the grip position have a clear effect on grip contact forces, thus the interaction is complex due to subject specific variations. The data sets the basis for an inverse dynamic model and provides information about involved muscles which is helpful for the training process and injury prevention

    Digitalization of musculoskeletal risk assessment in a robotic-assisted assembly workstation

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    The ergonomic assessment of adopted working postures is essential for avoiding musculoskeletal risk factors in manufacturing contexts. Several observational methods based on external analyst observations are available; however, they are relatively subjective and suffer low repeatability. Over the past decade, the digitalization of this assessment has received high research interest. Robotic applications have the potential to lighten workers’ workload and improve working conditions. Therefore, this work presents a musculoskeletal risk assessment before and after robotic implementation in an assembly workstation. We also emphasize the importance of using novel and non-intrusive technologies for musculoskeletal risk assessment. A kinematic study was conducted using inertial motion units (IMU) in a convenience sample of two workers during their normal performance of assembly work cycles. The musculoskeletal risk was estimated according to a semi-automated solution, called the Rapid Upper Limb Assessment (RULA) report. Based on previous musculoskeletal problems reported by the company, the assessment centered on the kinematic analysis of functional wrist movements (flexion/extension, ulnar/radial deviation, and pronation/supination). The results of the RULA report showed a reduction in musculoskeletal risk using robotic-assisted assembly. Regarding the kinematic analysis of the wrist during robotic-assisted tasks, a significant posture improvement of 20–45% was registered (considering the angular deviations relative to the neutral wrist position). The results obtained by direct measurements simultaneously reflect the workload and individual characteristics. The current study highlights the importance of an in-field instrumented assessment of musculoskeletal risk and the limitations of the system applied (e.g., unsuitable for tracking the motion of small joints, such as the fingers)

    Digitalization of musculoskeletal risk assessment in a robotic-assisted assembly workstation

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    The ergonomic assessment of adopted working postures is essential for avoiding musculoskeletal risk factors in manufacturing contexts. Several observational methods based on external analyst observations are available; however, they are relatively subjective and suffer low repeatability. Over the past decade, the digitalization of this assessment has received high research interest. Robotic applications have the potential to lighten workers’ workload and improve working conditions. Therefore, this work presents a musculoskeletal risk assessment before and after robotic implementation in an assembly workstation. We also emphasize the importance of using novel and non-intrusive technologies for musculoskeletal risk assessment. A kinematic study was conducted using inertial motion units (IMU) in a convenience sample of two workers during their normal performance of assembly work cycles. The musculoskeletal risk was estimated according to a semi-automated solution, called the Rapid Upper Limb Assessment (RULA) report. Based on previous musculoskeletal problems reported by the company, the assessment centered on the kinematic analysis of functional wrist movements (flexion/extension, ulnar/radial deviation, and pronation/supination). The results of the RULA report showed a reduction in musculoskeletal risk using robotic-assisted assembly. Regarding the kinematic analysis of the wrist during robotic-assisted tasks, a significant posture improvement of 20–45% was registered (considering the angular deviations relative to the neutral wrist position). The results obtained by direct measurements simultaneously reflect the workload and individual characteristics. The current study highlights the importance of an in-field instrumented assessment of musculoskeletal risk and the limitations of the system applied (e.g., unsuitable for tracking the motion of small joints, such as the fingers).This work was supported by NORTE-06-3559-FSE-000018, integrated in the invitation NORTE-59-2018-41, aiming the Hiring of Highly Qualified Human Resources, co-financed by the Regional Operational Programme of the North 2020, thematic area of Competitiveness and Employment, through the European Social Fund (ESF). This work was also supported by FCT–Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020

    A cross-sectional survey study on the nutrition patterns of patients with peripheral artery disease

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    Background: Even though nutrition was demonstrated to have an impact on chronic atherosclerotic disease, there is a paucity of corresponding recommendations for patients with peripheral artery disease (PAD). A Mediterranean Diet based on daily intake of fruits and vegetables with high fibre, vegetable oil, and unsalted nuts including fish several times a week may have protective effects. This cross-sectional survey aimed to determine nutritional patterns amongst inpatients with PAD. Methods: All inpatients with symptomatic PAD who underwent revascularisation at a single centre between 1st May 2018 and 31st December 2021 were asked to fill out a questionnaire on nutritional intake. An 8-item frequency rating scale (from never to three times a day) was used for 15 food groups. For 11 of them, an adapted Mediterranean Diet score was calculated using the answers. The descriptive results were stratified by sex and disease stage (intermittent claudication vs. chronic limb-threatening ischaemia). Results: A total of 319 patients (31.7% female, 69.4 years in mean) were included. Thereof, 71.8% reported they did never receive any nutritional information considering their PAD disease. The mean adapted Mediterranean Diet score was 2.7 points (of maximum 11) with most patients not achieving the recommended servings per week for fruits (1.6%), vegetables (1.0%), and unsalted nuts (12.2%). The intake of cereals was sufficient (43.3%). When compared with men, women consumed more fruits and less meat. Conclusions: This survey demonstrated that although healthy nutrition may have a positive impact on patients with PAD, the education and adherence to a Mediterranean Diet was inappropriate. Nutritional patterns should be more focused in future PAD studies to derive specific recommendations and nutritional programmes as well as patient education in clinical practice

    The 28th International Conference on the History of Cartography, Amsterdam, Netherlands, 14–19 July 2019

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