1,720,979 research outputs found
Development of a real-time classifier for the identification of the Sit-To-Stand motion pattern
No full textThe Sit-to-Stand (STS) movement has significant importance in clinical practice, since it is an indicator of lower limb functionality. As an optimal trade-off between costs and accuracy, accelerometers have recently been used to synchronously recognise the STS transition in various Human Activity Recognition-based tasks. However, beyond the mere identification of the entire action, a major challenge remains the recognition of clinically relevant phases inside the STS motion pattern, due to the intrinsic variability of the movement. This work presents the development process of a deep-learning model aimed at recognising specific clinical valid phases in the STS, relying on a pool of 39 young and healthy participants performing the task under self-paced (SP) and controlled speed (CT). The movements were registered using a total of 6 inertial sensors, and the accelerometric data was labelised into four sequential STS phases according to the Ground Reaction Force profiles acquired through a force plate. The optimised architecture combined convolutional and recurrent neural networks into a hybrid approach and was able to correctly identify the four STS phases, both under SP and CT movements, relying on the single sensor placed on the chest. The overall accuracy estimate (median [95% confidence intervals]) for the hybrid architecture was 96.09 [95.37 - 96.56] in SP trials and 95.74 [95.39 – 96.21] in CT trials. Moreover, the prediction delays (≅33 ms) were compatible with the temporal characteristics of the dataset, sampled at 10 Hz (100 ms). These results support the implementation of the proposed model in the development of digital rehabilitation solutions able to synchronously recognise the STS movement pattern, with the aim of effectively evaluate and correct its execution
Computer-Mediated Therapies for Stroke Rehabilitation: A Systematic Review and Meta-Analysis
No full textObjective: To evaluate the efficacy of different forms of virtual reality (VR) treatments as either immersive virtual reality (IVR) or non-immersive virtual reality (NIVR) in comparison to conventional therapy (CT) in improving physical and psychological status among stroke patients. Methods: The literature search was conducted on seven databases: ACM Digital Library, Medline (via PubMed), Cochrane, IEEE Xplore, Web of Science, Scopus, and science direct. The effect sizes of the main outcomes were calculated using Cohen's d. Pooled results were used to present an overall estimate of the treatment effect using a random-effects model. Results: A total of 22 randomized controlled trials were evaluated. 3 trials demonstrated that immersive virtual reality improved upper limb activity, function and activity of daily life in a way comparable to CT. 18 trials showed that NIVR had similar benefits to CT for upper limb activity and function, balance and mobility, activities of daily living and participation. A comparison between the different forms of VR showed that IVR may be more beneficial than NIVR for upper limb training and activities of daily life. Conclusions: This study found out that IVR therapies may be more effective than NIVR but not CT to improve upper limb activity, function, and daily life activities. However, there is no evidence of the durability of IVR treatment. More research involving studies with larger samples is needed to assess the long-term effects and promising benefits of immersive virtual reality technology
Ecological Gait as a Fall Indicator in Older Adults: A Systematic Review
No full textFalls represent a major threat for elders, affecting their life quality and expectancy. Clinical tests and questionnaires showed low diagnostic value with respect to fall risk. Modern sensor technology allows in-home gait assessments, with the possibility to register older adults' ecological mobility and, potentially, to improve accuracy in determining fall risk. Hence, we studied the correlation between standardized assessments and ecological gait measures, comparing their ability to identify fall risk and predict prospective falls
Quantitative Comparison of Human and Software Reliability in the Categorisation of Sit-to-stand Motion Pattern
Get PDFThe Sit-to-Stand (STS) test is used in clinical practice as an indicator of lower-limb functionality decline, especially for older adults. Due to its high variability, there is no standard approach for categorising the STS movement and recognising its motion pattern. This paper presents a comparative analysis between visual assessments and an automated-software for the categorisation of STS, relying on registrations from a force plate. 5 participants (30 +/- 6 years) took part in 2 different sessions of visual inspections on 200 STS movements under self-paced and controlled speed conditions. Assessors were asked to identify three specific STS events from the Ground Reaction Force, simultaneously with the software analysis: the start of the trunk movement (Initiation), the beginning of the stable upright stance (Standing) and the sitting movement (Sitting). The absolute agreement between the repeated raters' assessments as well as between the raters' and software's assessment in the first trial, were considered as indexes of human and software performance, respectively. No statistical differences between methods were found for the identification of the Initiation and the Sitting events at self-paced speed and for only the Sitting event at controlled speed. The estimated significant values of maximum discrepancy between visual and automated assessments were 0.200 [0.039; 0.361] s in unconstrained conditions and 0.340 [0.014; 0.666] s for standardised movements. The software assessments displayed an overall good agreement against visual evaluations of the Ground Reaction Force, relying, at the same time, on objective measures
Inertial Measurement Units for shoulder functional assessment in telerehabilitation systems: a preliminary study
No full textThe use of Inertial Measurement Units (IMUs) as sensors in wearable devices for human movement monitoring helps the development of remote rehabilitation systems. Pathologies of musculoskeletal system can affect the execution of the basic activities of daily living (ADL), hence in rehabilitation treatments it is important to also evaluate functional gestures related to ADL execution. In this work, we assess the capability of an IMU-based device to detect abnormalities in motor patterns of the shoulder joint during the execution of functional movements. Results from a preliminary assessment suggest good possibilities of detecting differences in motor patterns. The final direction of this work should be to integrate the findings in a telerehabilitation system as an indicator of functionality of the shoulder joints
Insights into proprioceptive acuity assessed with a dynamic joint position reproduction task
No full textThis study investigated proprioceptive acuity using the conventional joint position reproduction (JPR) task and a modified version, the Dynamic JPR task (D-JPR), during Concentric and Eccentric muscle contractions. Seventeen participants were recruited and received a tactile stimulus indicating the position cue at Initial (INI), Intermediate (INT), and Final (FIN) phases of movements, during either the concentric or eccentric phases. After the movement, they replicated the position where they received the stimulus. Angular error (AE) and movement velocity were analysed. AE was higher in the D-JPR than in JPR Task, and in Concentric than Eccentric contractions. Within the D-JPR Task, during Concentric contractions, AE was lower at FIN phase compared to INI and INT phases, and at INT phase compared to INI phase, whereas in Eccentric contraction AE was lower in FIN compared to INI phase. Significant correlations between movement velocity at the time of stimulus delivery and AE were found in both types of contractions. Proprioceptive acuity was affected by task type, muscle contraction, movement phase, and movement velocity, highlighting the need to consider these factors for accurate and ecological assessments of proprioception
Force control of pinch grip: Normative data of a holistic evaluation.
Get PDFBackgroundPulp pinch (PP) is a vital hand movement involving muscle strength and sensory integration. Previous research has primarily focused on Maximal Voluntary Contraction, but PP encompasses broader parameters.PurposeThis study aims to establish normative data for a comprehensive evaluation of thumb and index force control during PP, including endurance, precision, accuracy in unilateral PP, and force coordination in bilateral PP.Study DesignA cross-sectional study.MethodsThree hundred and twenty eight healthy Italian cis-gender participants (169 females, 159 males) were enrolled in a multiparametric force control evaluation of pinch grip, consisting in: sustained contraction (SC: ability to maintain a stable contraction at 40% MVC, measured as the time until exhaustion), dynamic contraction (DC: the ability to modulate precisely and accurately force output to follow a dynamic force trace), bimanual strength coordination (BSC: the ability to coordinate in-phase bimanual forces at different combined magnitudes) tasks. The sample was divided per sex and stratified in five age groups taking into account hand dominance. Differences in tasks’ results between age, sex and hand-dominance were analysed.ResultsEndurance (SC) was similar between younger and older adults (η2 =0.047 (Females) and η2 0.16). Females demonstrated greater endurance (SC) but lower precision and coordination (BSC) compared to males (0.01 <η2 <0.1). No hand dominance effect emerged in SC and DC.ConclusionsForce accuracy and precision to modulate pinch force to perform a visual feedback force-matching task (DC) and force coordination between hands (BSC) worsen at increasing age. Hand dominance did not influence either endurance or precision of pinch grip in visual-feedback guided task
Exploring knowledge, perception, and use of surface electromyography in physiotherapy post graduate trainees in Italy: a single center preliminary survey
No full textIntroductionSurface electromyography (sEMG) is a non-invasive technique that records muscle electrical activity using skin-surface electrodes, aiding physiotherapists in assessing and treating muscular and neuromuscular conditions. Despite its potential, sEMG remains underutilized in Italy. This study aims to evaluate Italian physiotherapists’ knowledge and use of sEMG, specifically among those who completed the Master's Degree in Rehabilitation of Musculoskeletal and Rheumatological Disorders at the University of Genoa.MethodsThis cross-sectional study, approved by the University of Genoa's Ethical Committee, utilized an anonymous web survey to gather data from physiotherapy students in the master's program. The survey, developed based on the International Handbook of Survey Methodology, consisted of 12 questions covering demographics, previous sEMG experience, the importance of sEMG in practice and research, and educational satisfaction. Data collection spanned from January to May 2024, with a response rate of 72.7% (93 participants). Descriptive analysis was used to summarize the data.ResultsThe average age of respondents was 26.5 years, with 55.9% being male. Only 3.2% reported using sEMG in their practice. While 46.2% considered sEMG moderately important for practice, 40.9% deemed it extremely important for research. Most participants felt their undergraduate education inadequately prepared them for using sEMG, with 81.7% rating their preparation as insufficient. Although the master's program improved sEMG knowledge, 66.7% indicated no significant proficiency gain.ConclusionItalian physiotherapists view sEMG mainly as a research tool rather than a clinical one. The findings highlight the need for curriculum reforms to enhance both theoretical and practical sEMG education. Simplifying and standardizing sEMG protocols and integrating sEMG training into physiotherapy curricula are essential steps to better prepare clinicians for its clinical application.Introduction: Surface electromyography (sEMG) is a non-invasive technique that records muscle electrical activity using skin-surface electrodes, aiding physiotherapists in assessing and treating muscular and neuromuscular conditions. Despite its potential, sEMG remains underutilized in Italy. This study aims to evaluate Italian physiotherapists’ knowledge and use of sEMG, specifically among those who completed the Master's Degree in Rehabilitation of Musculoskeletal and Rheumatological Disorders at the University of Genoa. Methods: This cross-sectional study, approved by the University of Genoa's Ethical Committee, utilized an anonymous web survey to gather data from physiotherapy students in the master's program. The survey, developed based on the International Handbook of Survey Methodology, consisted of 12 questions covering demographics, previous sEMG experience, the importance of sEMG in practice and research, and educational satisfaction. Data collection spanned from January to May 2024, with a response rate of 72.7% (93 participants). Descriptive analysis was used to summarize the data. Results: The average age of respondents was 26.5 years, with 55.9% being male. Only 3.2% reported using sEMG in their practice. While 46.2% considered sEMG moderately important for practice, 40.9% deemed it extremely important for research. Most participants felt their undergraduate education inadequately prepared them for using sEMG, with 81.7% rating their preparation as insufficient. Although the master's program improved sEMG knowledge, 66.7% indicated no significant proficiency gain. Conclusion: Italian physiotherapists view sEMG mainly as a research tool rather than a clinical one. The findings highlight the need for curriculum reforms to enhance both theoretical and practical sEMG education. Simplifying and standardizing sEMG protocols and integrating sEMG training into physiotherapy curricula are essential steps to better prepare clinicians for its clinical application
Assessment of Upper Limb Functional Workspace through Inertial Measurement Units: a Pilot Study
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