Teamwork in Medical Rehabilitation

Lundgren, Charlotte; Molander, Carl

doi:10.4324/9781315120263

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…the original phase can be recovered by ϕ = 2π t 0f (τ )d τ + ϕ r (t) . To obtain this decomposition, we first performed a least-squares fit of the phase to a piecewise cubic splineφ using splinefit in Matlab with robust fitting parameter β = 0.5 [33]. Knots of the spline were chosen at 2s intervals, based on the observation that dyadic phase coordination mostly exceeded 2s (i.e.…”

Section: Preparing Empirical Data For Topological Analysismentioning

confidence: 99%

Topological portraits of multiscale coordination dynamics

Zhang

Kalies

Kelso

et al. 2020

Journal of Neuroscience Methods

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Living systems exhibit complex yet organized behavior on multiple spatiotemporal scales. To investigate the nature of multiscale coordination in living systems, one needs a meaningful and systematic way to quantify the complex dynamics, a challenge in both theoretical and empirical realms. The present work shows how integrating approaches from computational algebraic topology and dynamical systems may help us meet this challenge. In particular, we focus on the application of multiscale topological analysis to coordinated rhythmic processes. First, theoretical arguments are introduced as to why certain topological features and their scale-dependency are highly relevant to understanding complex collective dynamics. Second, we propose a method to capture such dynamically relevant topological information using persistent homology, which allows us to effectively construct a multiscale topological portrait of rhythmic coordination. Finally, the method is put to test in detecting transitions in real data from an experiment of rhythmic coordination in ensembles of interacting humans. The recurrence plots of topological portraits highlight collective transitions in coordination patterns that were elusive to more traditional methods. This sensitivity to collective transitions would be lost if the behavioral dynamics of individuals were treated as separate degrees of freedom instead of constituents of the topology that they collectively forge. Such multiscale topological portraits highlight collective aspects of coordination patterns that are irreducible to properties of individual parts. The present work demonstrates how the analysis of multiscale coordination dynamics can benefit from topological methods, thereby paving the way for further systematic quantification of complex, high-dimensional dynamics in living systems.in a way that does justice to all relevant scales. In the present work, we propose a topological approach to analyzing dynamic patterns generated by multiscale coordinative structures. Topological methods have been shown to detect dynamic features of systems exhibiting, e.g., stable, spatiotemporal chaos [15,28,29]. Here we leverage existing computational topology tools, principally, persistent homology to capture the scale-dependency of topological features hidden in complex coordination patterns and detect transitions between them.The quantitative and systematic study of multiscale coordinative structures requires data analytic tools that are tuned to capture dynamic features across scales, that is, without predefining a specific scale of analysis or using a different system of measurement for different scales. The development of such tools is challenging since the measurement not only needs to be multiscale in nature, but also dynamically meaningful: it should capture dynamic patterns of coordination and the transition between coordination patterns in time [24,26]. In the present paper, we propose a multiscale topological approach to this problem. Instead of keeping track of individual state variables, ...

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Section: Preparing Empirical Data For Topological Analysismentioning

confidence: 99%

Topological portraits of multiscale coordination dynamics

Zhang

Kalies

Kelso

et al. 2020

Journal of Neuroscience Methods

View full text Add to dashboard Cite

show abstract

“…The rest of the missing ICF categories mainly concerned physical function. Their absence was expected because these factors should primarily be addressed by other professions in the multi-disciplinary team such as physiotherapists and occupational therapists (Lundgren & Molander, 2017).…”

Section: Discussionmentioning

confidence: 99%

Health social workers’ assessments as part of a specialized pain rehabilitation: a clinical data-mining study

Larsson

Fredriksson²,

Fugl-Meyer

2019

Social Work in Health Care

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This study examines how health social workers (HSWs) assess the rehabilitation needs of patients with long-term pain. Data were extracted from 66 patient assessments through a retrieval form based on the International Classification of Functioning, Disability, and Health. The assessments included information about relations, work, and recreation. Stress management, problem solving, selfcare, participation in community life, and providing personal care were missing in parts of or all assessments. Differences in assessments suggest that information was registered based on traditional gender roles and age. Therefore, HSWs need standardized assessment tools to ensure that assessments are relevant for all patients with long-term pain irrespective of gender or age.

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Towards a New Paradigm for Digital Health Training and Education in Australia: Exploring the Implication of the Fifth Industrial Revolution

2023

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Digital transformation, characterised by advanced digitalisation, blockchain, the Internet of Things, artificial intelligence, machine learning technologies, and robotics, has played a key role in revolutionising various industries, especially the healthcare sector. The adoption of and transition (from traditional) to new technology will bring challenges, opportunities, and disruptions to existing healthcare systems. According to the European Union, we must pursue both digital and green transitions to achieve sustainable, human-centric, and resilient industries to achieve a world of prosperity for all. The study aims to present a novel approach to education and training in the digital health field that is inspired by the fifth industrial revolution paradigm. The paper highlights the role of training and education interventions that are required to support digital health in the future so that students can develop the capacity to recognise and exploit the potential of new technologies. This article will briefly discuss the challenges and opportunities related to healthcare systems in the era of digital transformation and beyond. Then, we look at the enabling technologies from an Industry 5.0 perspective that supports digital health. Finally, we present a new teaching and learning paradigm and strategies that embed Industry 5.0 technologies in academic curricula so that students can develop their capacities to embrace a digital future and minimise the disruption that will inevitably accompany it. By incorporating Industry 5.0 principles into digital health education, we believe students can gain a deeper understanding of the industry and develop skills that will enable them to deliver a more efficient, effective, and sustainable healthcare system.

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Teamwork in Medical Rehabilitation

Cited by 3 publications

References 17 publications

Topological portraits of multiscale coordination dynamics

Topological portraits of multiscale coordination dynamics

Health social workers’ assessments as part of a specialized pain rehabilitation: a clinical data-mining study

Towards a New Paradigm for Digital Health Training and Education in Australia: Exploring the Implication of the Fifth Industrial Revolution

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