Saxion University of Applied Sciences

About: Saxion University of Applied Sciences is a education organization based out in Enschede, Netherlands. It is known for research contribution in the topics: Health care & Context (language use). The organization has 390 authors who have published 653 publications receiving 8859 citations. The organization is also known as: Saxion University of Applied Sciences.

Ethical Considerations of Using Machine Learning for Decision Support in Occupational Health: An Example Involving Periodic Workers’ Health Assessments

Abstract: Purpose Computer algorithms and Machine Learning (ML) will be integrated into clinical decision support within occupational health care. This will change the interaction between health care professionals and their clients, with unknown consequences. The aim of this study was to explore ethical considerations and potential consequences of using ML based decision support tools (DSTs) in the context of occupational health. Methods We conducted an ethical deliberation. This was supported by a narrative literature review of publications about ML and DSTs in occupational health and by an assessment of the potential impact of ML-DSTs according to frameworks from medical ethics and philosophy of technology. We introduce a hypothetical clinical scenario from a workers' health assessment to reflect on biomedical ethical principles: respect for autonomy, beneficence, non-maleficence and justice. Results Respect for autonomy is affected by uncertainty about what future consequences the worker is consenting to as a result of the fluctuating nature of ML-DSTs and validity evidence used to inform the worker. A beneficent advisory process is influenced because the three elements of evidence based practice are affected through use of a ML-DST. The principle of non-maleficence is challenged by the balance between group-level benefits and individual harm, the vulnerability of the worker in the occupational context, and the possibility of function creep. Justice might be empowered when the ML-DST is valid, but profiling and discrimination are potential risks. Conclusions Implications of ethical considerations have been described for the socially responsible design of ML-DSTs. Three recommendations were provided to minimize undesirable adverse effects of the development and implementation of ML-DSTs.

The Care of Our Hybrid Selves: Ethics in Times of Technical Mediation

Abstract: What can the art of living after Foucault contribute to ethics in relation to the mediation of human existence by technology? To develop the relation between technical mediation and ethics, firstly the theme of technical mediation is elaborated in line with Foucault’s notion of ethical problematization. Every view of what technology does to us at the same time expresses an ethical concern about technology. The contemporary conception of technical mediation tends towards the acknowledgement of ongoing hybridization, not ultimately good or bad but ambivalent, which means for us the challenge of taking care of ourselves as hybrid beings. Secondly, the work of Foucault provides elements for imagining this care for our hybrid selves, notably his notions of freedom as a practice and of the care of the self. A conclusions about technical mediation and ethics is that whereas the approaches of the delegation of morality to technology by Latour and mediated morality by Verbeek see technical mediation of behavior and moral outlook as an answer in ethics, this should rather be considered the problem that ethics is about.

Characterization of Forearm Muscle Activation in Duchenne Muscular Dystrophy via High-Density Electromyography: A Case Study on the Implications for Myoelectric Control.

Abstract: Duchenne muscular dystrophy (DMD) is a genetic disorder that results in progressive muscular degeneration. Although medical advances increased their life expectancy, DMD individuals are still highly dependent on caregivers. Hand/wrist function is central for providing independence, and robotic exoskeletons are good candidates for effectively compensating for deteriorating functionality. Robotic hand exoskeletons require the accurate decoding of motor intention typically via surface electromyography (sEMG). Traditional low-density sEMG was used in the past to explore the muscular activations of individuals with DMD; however, it cannot provide high spatial resolution. This study characterized, for the first time, the forearm high-density (HD) electromyograms of three individuals with DMD while performing seven hand/wrist-related tasks and compared them to eight healthy individuals (all data available online). We looked into the spatial distribution of HD-sEMG patterns by using principal component analysis (PCA) and also assessed the repeatability and the amplitude distributions of muscle activity. Additionally, we used a machine learning approach to assess DMD individuals' potentials for myocontrol. Our analysis showed that although participants with DMD were able to repeat similar HD-sEMG patterns across gestures (similarly to healthy participants), a fewer number of electrodes was activated during their gestures compared to the healthy participants. Additionally, participants with DMD activated their muscles close to maximal contraction level (0.63 ± 0.23), whereas healthy participants had lower normalized activations (0.26 ± 0.2). Lastly, participants with DMD showed on average fewer PCs (3), explaining 90% of the complete gesture space than the healthy (5). However, the ability of the DMD participants to produce repeatable HD-sEMG patterns was unexpectedly comparable to that of healthy participants, and the same holds true for their offline myocontrol performance, disproving our hypothesis and suggesting a clear potential for the myocontrol of wearable exoskeletons. Our findings present evidence for the first time on how DMD leads to progressive alterations in hand/wrist motor control in DMD individuals compared to healthy. The better understanding of these alterations can lead to further developments for the intuitive and robust myoelectric control of active hand exoskeletons for individuals with DMD.

The future of hotels: The Lifestyle Hub. A design-thinking approach for developing future hospitality concepts

Abstract: This article explores the use of design thinking as a method to develop scenario for the future of hotels. Using a Dutch case study, this article shows how a new concept for hotels – the Lifestyle Hub – was created using design thinking as methodology. The Lifestyle Hub concept provides ingredients to hotel owners as well as public policymakers to help understand how future guests may expect to make use of individually tailored hospitable facilities in destinations around the world. Moreover, design thinking allows researchers and businesses to generate highly differentiated customer-centred, experience-based business concepts, thus adding to the toolkit of futures researchers. We conclude that design thinking provides new insights for hospitality and tourism and presents a valuable alternative to current future scenarios approaches.