Search Results (100)

This study aimed to evaluate the feasibility of using serious games for the (tele)rehabilitation of children with disabilities affected by the Ukrainian war. Additionally, it provides requirements for technologies that can be used in war-affected areas. Structured interviews and Likert scale assessments were conducted on-site and remotely with patients of the tertiary care facility in Ukraine. All participants used the telerehabilitation platform for motor and cognitive training. Nine serious games were employed, involving trunk tilts, upper limb movements, and head control. By mid-September 2023, 186 positive user experiences were evident, with 89% expressing interest in continued engagement. The platform’s accessibility, affordability, and therapeutic benefits were highlighted. The recommendations from user feedback informed potential enhancements, showcasing the platform’s potential to provide uninterrupted rehabilitation care amid conflict-related challenges. This study suggests that serious games solutions that suit the sociopolitical and economic context offer a promising solution to rehabilitation challenges in conflict zones. The positive user experiences towards using the platform with serious games indicate its potential in emergency healthcare provision. The findings emphasize the role of technology, particularly serious gaming, in mitigating the impact of armed conflicts on children’s well-being, thereby contributing valuable insights to healthcare strategies in conflict-affected regions. Requirements for technologies tailored to the context of challenging settings were defined. Full article

This study examined the influence of student–teacher relationships and school infrastructure on preschool children’s motor creativity, encompassing fluency, originality, and imagination. Twenty teachers completed the Student–Teacher Relationship Scale for 200 children (10 children per teacher). The research team recorded aspects of the school’s physical environment through Movement Play Scale and assessed children’s motor creativity via the Thinking Creatively in Action and Movement test. The results revealed that dimensions of the student–teacher relationship, such as conflict and dependency, negatively impacted fluency, and originality components of motor creativity. Contrary to expectations, teacher participation in movement activities did not significantly contribute to motor creativity, potentially due to over-direction limiting children’s autonomy. Similarly, the school’s infrastructures were negatively linked to fluency and originality. The findings underscore the importance of nurturing autonomy-supportive environments and balancing guidance with opportunities for independent exploration. Teachers should also invest in adaptable educational spaces to foster creativity without encouraging dependency. This study emphasizes the critical role of supportive relational and environmental factors in shaping preschool children’s creative movement abilities. Full article

To enhance the speed control performance of the permanent magnet synchronous motor (PMSM) servo system, an improved sliding mode control method integrating a torque observer is presented. The current loop uses current feedback decoupling PID control, and the speed loop applies sliding mode control. In comparison to previous work in hybrid SMC using fuzzy logic and torque observers, this p proposes a hyperbolic tangent function in replacement of the signum function to solve the conflict between rapidity and chattering in the traditional exponential reaching law, and fuzzy and segmental self-tuning rules adjust relevant switching terms to reduce chattering and improve the sliding mode arrival process. A load torque observer is designed to enhance the system’s anti-interference ability by compensating the observed load torque to the current loop input. Simulation results show that compared with traditional sliding mode control with a load torque observer (SMC + LO), PID control with a load torque observer (PID + LO), and Active Disturbance Rejection Control (ADRC), the proposed strategy can track the desired speed in 0.032 s, has a dynamic deceleration of 2.7 r/min during sudden load increases, and has a recovery time of 0.011 s, while the others have relatively inferior performance. Finally, the model experiment is carried out, and the results of the experiment are basically consistent with the simulation results. Simulation and experimental results confirm the superiority of the proposed control strategy in improving the system’s comprehensive performance. Full article

This study presents a novel approach to EEG signal classification in distributed environments using dynamic ensemble selection. In scenarios where data dispersion arises due to privacy constraints or decentralized data collection, traditional global modelling is impractical. We propose a framework where classifiers are trained locally on independent subsets of EEG data without requiring centralized access. A dynamic coalition-based ensemble strategy is employed to integrate the outputs of these local models, enabling adaptive and instance-specific decision-making. Coalitions are formed based on conflict analysis between model predictions, allowing either consensus (unified) or diversity (diverse) to guide the ensemble structure. Experiments were conducted on two benchmark datasets: an epilepsy EEG dataset comprising 150 segmented EEG time series from ten patients, and the BCI Competition IV Dataset 1, with continuous recordings from seven subjects performing motor imagery tasks, for which a total of 1400 segments were extracted. In the study, we also evaluated the non-distributed (centralized) approach to provide a comprehensive performance baseline. Additionally, we tested a convolutional neural network specifically designed for EEG data, ensuring our results are compared against advanced deep learning methods. Gradient Boosting combined with measurement-level fusion and unified coalitions consistently achieved the highest performance, with an F1-score, accuracy, and balanced accuracy of 0.987 (for nine local tables). The results demonstrate the effectiveness and scalability of dynamic coalition-based ensembles for EEG diagnosis in distributed settings, highlighting their potential in privacy-sensitive clinical and telemedicine applications. Full article

Background and Objectives: Padua (1997) and Bland (2000) have already proposed neurophysiological classification scales for patients with carpal tunnel syndrome (CTS), where the absence of orthodromic sensory response is used as a criterion of a severe stage. We hypothesized that antidromic values cannot be used equally for correct staging. Materials and Methods: We performed a consecutive investigation with nerve conduction studies in 60 arms of patients with CTS and prolonged distal motor latency. Results: In 11 out of 60 arms (18.3% of cases), orthodromic sensory nerve action potential (SNAP) was undetectable, while the antidromic SNAP was present. ROC curve analysis with Yoden index calculation were utilized in the study. The cut-off value of antidromic SNAP amplitude as a diagnostic marker of unrecordable orthodromic SNAP was 3.9 µV with high sensitivity and specificity. Conclusions: Our findings conflict with Padua et al.’s assertion that CTS staging can be determined irrespective of the stimulation technique. Antidromic SNAP amplitude is the most reliable parameter for predicting the absent orthodromic SNAP. Our study addresses the bias associated with the application of antidromic stimulation of median nerve sensory fibers for accurately staging moderate to severe CTS. Full article

The rapid growth of e-bikes has intensified traffic conflicts on slow-moving shared paths in China. This study analyzed traffic safety of pedestrians and non-motorized vehicles and examined the factors influencing conflict severity utilizing traffic conflict techniques. Video-based surveys were conducted on six shared paths in Shenzhen, and conflict trajectory was extracted by Petrack software (Version 0.8). The minimum Time to Collision and Yaw Rate Ratio were selected as conflict indicators. Fuzzy c-means clustering was employed to classify conflicts into three severity levels: 579 potential conflicts, 435 minor conflicts, and 150 serious conflicts. Nineteen feature variables related to road environment, traffic operation, conflict sample information, and conflict behavior were considered. A SMOTE random forest model was constructed to explore critical influencing factors systematically. The results identified ten key factors affecting conflict severity. The increase in conflict severity is associated with the rise in pedestrian proportion and flow, and the decrease in e-bike proportion and flow. Male participants and pedestrians are more likely to engage in serious conflicts, while illegal lane occupation and wrong-way travel further elevate the severity level. These findings can provide references for traffic engineers and planners to enhance the safety management of shared paths and contribute to sustainable non-motorized transport. Full article

A multitude of factors, including accidents, chronic illnesses, and conflicts, contribute to rising global amputation rates. The World Health Organization (WHO) estimates that 57.7 million people lived with traumatic limb amputations in 2017, with many lacking access to affordable prostheses. This study presents a preliminary framework for a low-cost, electromyography (EMG)-controlled upper limb prosthesis, integrating 3D printing and EMG sensors to enhance accessibility and functionality. Surface electrodes capture bioelectric signals from muscle contractions, processed via an Arduino Uno to actuate a one-degree-of-freedom (1-DoF) prosthetic hand. Preliminary results demonstrate reliable detection of muscle contractions (threshold = 7 ADC units, ~34 mV) and motor actuation with a response time of ~150 ms, offering a cost-effective alternative to commercial systems. While limited to basic movements, this design lays the groundwork for scalable, user-centered prosthetics. Future work will incorporate multi-DoF control, AI-driven signal processing, and wireless connectivity to improve precision and usability, advancing rehabilitation technology for amputees in resource-limited settings. Full article

Vitamin D is an essential nutrient, involved in various biological processes including calcium homeostasis, bone health, immune function, and brain development. Vitamin D from the mother crosses the placenta during pregnancy, directly impacting the neurodevelopment of the fetus. Vitamin D insufficiency is a substantial global health problem, influencing almost 47.9% of individuals, with especially high predominance rates among pregnant women. Background/Objectives: Preclinical studies suggest that maternal vitamin D deficiency results in significant alterations in the development of the offspring’s brain. Nonetheless, randomized clinical trials in humans have produced conflicting results on the beneficial effect of high-dose vitamin D supplementation during pregnancy on neurodevelopmental outcomes. This review aims to evaluate the association of maternal prenatal vitamin D levels and vitamin D supplementation during pregnancy with offspring neurodevelopment. Methods: This study thoroughly reviewed the literature and searched throughout PubMed, ScienceDirect, Cochrane Library, and Google Scholar, adhering to PRISMA guidelines. Studies assessing maternal vitamin D levels, supplementation, and offspring neurodevelopmental outcomes were included based on predefined eligibility criteria. Results: Among 9686 screened studies, only 20 met the inclusion criteria, representing 18,283 mother–child pairs. A small, non-significant trend suggested a positive association between higher maternal vitamin D levels and offspring cognitive, language, motor, and social-emotional development. The strongest associations were observed in cognitive performance and language acquisition, though inconsistencies emerged across studies. Cord blood vitamin D levels showed no consistent effects on neurodevelopment. Maternal vitamin D supplementation during pregnancy demonstrated no reliable benefits for offspring neurodevelopment, with results varying by study design and participant characteristics. Conclusions: Large-scale, multicenter randomized trials, with standardized neurodevelopmental assessments at multiple ages are needed to define the effects of vitamin D deficiency and supplementation during pregnancy on offspring neurodevelopmental outcomes. Future research should investigate the confounding factors contributing to inconsistencies, including supplementation protocols, genetic variations, and assessment methodologies. Clarifying these aspects will enhance the understanding of maternal vitamin D’s role in fetal neurodevelopment and aid in refining prenatal supplementation guidelines. Full article

Background: The clinical profiles of MNDs are dominated by inexorable motor decline, but subclinical proprioceptive, nociceptive and somatosensory deficits may also exacerbate mobility, dexterity, and bulbar function. While extra-motor pathology and frontotemporal involvement are widely recognised in motor neuron diseases (MNDs), reports of sensory involvement are conflicting. The potential contribution of sensory deficits to clinical disability is not firmly established and the spectrum of sensory manifestations is poorly characterised. Methods: A systematic review was conducted to examine the clinical, neuroimaging, electrophysiology and neuropathology evidence for sensory dysfunction in MND phenotypes. Results: In ALS, paraesthesia, pain, proprioceptive deficits and taste alterations are sporadically reported and there is also compelling electrophysiological, histological and imaging evidence of sensory network alterations. Gait impairment, impaired dexterity, and poor balance in ALS are likely to be multifactorial, with extrapyramidal, cerebellar, proprioceptive and vestibular deficits at play. Human imaging studies and animal models also confirm dorsal column-medial lemniscus pathway involvement as part of the disease process. Sensory symptoms are relatively common in spinal and bulbar muscular atrophy (SBMA) and Hereditary Spastic Paraplegia (HSP), but are inconsistently reported in primary lateral sclerosis (PLS) and in post-poliomyelitis syndrome (PPS). Conclusions: Establishing the prevalence and nature of sensory dysfunction across the spectrum of MNDs has a dual clinical and academic relevance. From a clinical perspective, subtle sensory deficits are likely to impact the disability profile and care needs of patients with MND. From an academic standpoint, sensory networks may be ideally suited to evaluate propagation patterns and the involvement of subcortical grey matter structures. Our review suggests that sensory dysfunction is an important albeit under-recognised facet of MND. Full article

The digital maturity of Human Resource Management (HRM) is a critical determinant of organisational success in today’s digital age. This paper aims to contribute to the limited literature on the “digital maturity” of HRM by identifying emerging themes and success factors of HRM in the digital age. Drawing on data from 190 journal articles for 2017–2024, this paper identifies three motor themes shaping contemporary HRM: (1) Digital Transformation and Competition, (2) Innovation and Performance Management, and (3) COVID-19 Adaptive Human Resource Management. These findings indicate the multidimensionality of HR digital maturity—from focusing on technology and people to fostering innovation and crisis management. Several factors require attention to improve the digital maturity of HR, including HR strategy and governance; talent management, diversity, and safety; employee adoption and competencies; conflict resolution and stakeholder engagement; and HR practitioners’ competencies. Strategic investment in these pillars is necessary not only to facilitate organisational adaptation to digital transformation but also for harnessing the benefits of emerging technologies to drive innovation and long-term success in the post-COVID era. Full article

Background/Objectives: Parkinson’s disease (PD) is a neurodegenerative disorder, characterised by cardinal motor features and a multitude of non-motor manifestations. Among them, cognitive impairment in PD has been recognised as a defined clinical entity, and it might lead to an increased risk of developing dementia. Consequently, the present review aimed to ascertain the available interventions for the training of cognitive abilities in persons with PD (PwPD). Methods: PRISMA guidelines were followed to select studies in the following databases: PubMed, PsycINFO, and Web of Science. Two independent reviewers conducted the different phases of the review, and a third expert was called in to address any doubts/conflicts. Randomised controlled trials and randomised clinical trials concerning cognitive training with cognitive outcomes in PwPD were selected. Results: A total of 28 articles were included. The considered studies applied various experimental interventions for the training of cognitive functions in PwPD: computer-based platforms, exergames, paper-and-pencil programmes, dual-task or treadmill training with action observation therapy, motor imagery, and virtual reality components, interventions targeting precise cognitive domain, tele-rehabilitation, transcranial direct current stimulation, structured cognitive training, and multimodal treatments. Cognitive functions were assessed employing neuropsychological tests, self-report questionnaires, and computerised batteries. Conclusions: Overall, the review reported better performances in the experimental groups compared to the control groups, in several cognitive domains. Structured cognitive training emerged as the most effective strategy to enhance cognitive functioning in PwPD. However, further studies are necessary to determine the most appropriate and useful training and to develop interventions that also consider patients’ quality of life. Full article

Background/Objectives: Socio-affective relationships have garnered increasing attention in recent years as a means to enhance coexistence and well-being. Within this context, educational institutions play a pivotal role in shaping peaceful coexistence and promoting well-being among future generations. Physical Education (PE) is particularly significant, because it integrates cooperative–opposition activities, which blend collaboration and competition, fostering socio-emotional development. This systematic review aimed to investigate how PE contributes to coexistence and socio-affective well-being in adolescents aged 12 to 18. Methods: Using the PRISMA 2020 framework, 15 empirical studies were analyzed from seven databases. Studies were selected based on PICOS criteria: secondary education students (Population), cooperative–opposition activities (Intervention), control groups or pre-post designs (Comparison), relational and emotional dimensions (Outcomes), and quantitative methodologies (Study design). Results: Interventions grounded in the Motor Conduct Education and Sports Education Model significantly reduced interpersonal conflicts and improved social skills and emotional well-being. Positive emotions predominated in these activities, fostering stronger peer relationships within classroom groups. Approaches emphasizing task-oriented pedagogies were less effective than those centered on peer support in eliciting positive emotional responses. Conclusions: This review underscores the transformative potential of innovative educational strategies in PE to enhance coexistence and socio-affective well-being. Future research should explore the comparative efficacy of various pedagogical models and their long-term impact. These findings provide valuable guidance for educators and policymakers seeking to promote holistic development in adolescents through PE. Full article

Stroke is one of the leading causes of death and disability worldwide and poses a tremendous socioeconomic burden upon individuals, countries and healthcare systems. It causes debilitating symptoms and thus interferes with many aspects of the patient’s life, including physical functioning, cognition, emotional status, activities of daily living, social reintegration and quality of life. Post-stroke patients frequently experience functional motor disabilities of the upper limb, which restrict autonomy and self-efficacy and cause limitations in engagement with activities and social participation, as well as difficulties in performing important occupations. It is therefore not surprising that motor impairment or loss of motor function of the upper limb is one of the most devastating sequelae of stroke. On these grounds, achieving optimal functioning of the upper limb after stroke remains a fundamental goal of stroke rehabilitation. Mirror therapy (MT) represents one of the several rehabilitation techniques used for restoring the upper limb’s motor function after a stroke. However, conflicting results about the role of MT in the rehabilitation of the upper limb’s motor deficits have been reported in the literature. Accordingly, the aim of this narrative review is to summarize existing evidence regarding the effects of MT on the upper limb’s motor function in post-stroke patients and to further explore its role when applied in different phases of stroke. Full article

According to statistics from the World Health Organization, traffic accidents are one of the leading causes of death among children and young people, and statistical indicators are even worse for the elderly population. Preventive measures require an approach that includes analyses of traffic infrastructure and regulations, users’ traffic behavior, and their interactions. In this study, a methodology based on traffic microsimulations was developed to select the optimal reconstruction solution for urban traffic infrastructure from the perspective of traffic safety. Comprehensive analyses of local traffic conditions at the selected location, infrastructural properties, and properties related to traffic users were carried out. The developed methodology was applied and tested at a selected unsignalized pedestrian crosswalk located in Osijek, Croatia, where traffic safety issues had been detected. Analyses of the possible solutions for traffic safety improvements were carried out, taking into account the specificities of the chosen location and the traffic participants’ behaviors, which were recorded and measured. The statistical analysis showed that children had shorter reaction times and crossed the street faster than the analyzed group of adult pedestrians, which was dominated by elderly people in this case. Using microsimulation traffic modeling (VISSIM), an analysis was conducted on the incoming vehicle speeds for both the existing and the reconstructed conflict zone solutions under different traffic conditions. The results exhibited a decrease in average speeds for the proposed solution, and traffic volume was detected to have a great impact on incoming speeds. The developed methodology proved to be effective in selecting a traffic solution that respects the needs of both motorized traffic and pedestrians. Full article

Freezing of gait is a frequent phenomenon and can be one of the most debilitating motor impairments in Parkinson’s disease, especially in the advanced stages. It is currently defined as a brief episodic absence or any marked reduction in the forward progression of the feet, despite the intention to walk. Greater severity of freezing of gait has been associated with more frequent falls, postural instability, and executive dysfunction. However, botulinum neurotoxin is one of the most widely administered therapies for motor and non-motor symptoms, including freezing of gait, in parkinsonism. To date, the literature has had conflicting results on the use of botulinum toxin in the treatment of freezing of gait in Parkinson’s disease patients. In light of this, we reviewed the findings of past studies that specifically investigated the effects of botulinum toxin on freezing of gait in Parkinson’s disease in order to better understand this issue. Full article