User Perspectives on Exergames Designed to Explore the Hemineglected Space for Stroke Patients With Visuospatial Neglect: Usability Study

2017-07-01
TOBLER-AMMANN, Bernadette C.
Sürer, Elif
KNOLS, Ruud H.
BORGHESE, Alberto
DE BRUIN, Eling D.
Background: Visuospatial neglect due to stroke is characterized by the inability to perceive stimuli emerging in the area opposite to the side of brain damage. Besides adopting conventional rehabilitation methods to treat neglect symptoms, the use of virtual reality (VR) is becoming increasingly popular. We designed a series of 9 exergames aimed to improve exploration of the neglected side of space. When new VR interventions are designed, it is important to assess the usability aspects of such management strategies within the target population. To date, most studies used questionnaires to assess user satisfaction with the intervention or product being tested. However, only a combination of both quantitative and qualitative data allows a full picture of user perspective.
JMIR SERIOUS GAMES

Suggestions

Association analysis of glutathione s-transferase omega 1 and omega 2 genetic polymorphisms and ischemic stroke risk in Turkish population
Bilgin, Esra; Adalı, Orhan; Department of Biochemistry (2014)
Stroke is defined as the acute neurological cerebrovascular disease based on interruptions to blood flow in the brain. These interruptions are caused by loss of blood supply due to vessel bursts or vessel blocked by clotting. Atherosclerosis, a main cause of stroke, is blockage of endothelium layer of arteries and losing the flexibility of tissue. The oxidative stress is known as a risk factor for atherosclerosis. The increased free radicals such as reactive oxygen species (ROS) and decreased antioxidant le...
Recurrence quantification analysis of group eye tracking data
Tajaddini, Mani; Acartürk, Cengiz; Department of Cognitive Sciences (2018)
Eye movements can provide insight into the cognitive processes behind them. To study group cognition through investigating eye movements, we have developed a software tool (GETapp) to collect eye movement data from groups of participants performing a task on a set of computers in the scope of the Group Eye Tracking (GET) paradigm. Like many real-world systems, the data from group eye tracking experiments are non-linear. We have developed a software tool, a package for the R programming language, called the ...
Epileptic seizures induce structural and functional alterations on brain tissue membranes
Turker, Sevgi; Severcan, Mete; İLBAY, GÜL; Severcan, Feride (2014-12-01)
Epilepsy is characterized by disruption of balance between cerebral excitation and inhibition, leading to recurrent and unprovoked convulsions. Studies are still underway to understand mechanisms lying epileptic seizures with the aim of improving treatment strategies. In this context, the research on brain tissue membranes gains importance for generation of epileptic activities. In order to provide additional information for this field, we have investigated the effects of pentylenetetrazol-induced and audio...
Phase validation of neurotoxic animal models of Parkinson's disease
Telkes, İlknur; Jakubowska Doğru, Ewa; Department of Medical Informatics (2012)
Parkinson’s disease (PD) is characterized by the progressive loss of dopaminergic nigral neurons and striatal dopamine resulting in serious motor deficits but also some non-motor anomalies. Animal models of human neurodegenerative diseases are essential for better understanding their pathogenesis and developing efficient therapeutic tools. There are many different PD models, however, none of them is fully reproducing all the symptoms of the disease. In addition, different investigators use different behavio...
Statistical Approaches for the Analysis of Dependency Among Neurons Under Noise
Gençağa, Deniz; Ayan, Sevgi Şengül; Farnoudkia, Hajar; Okuyucu, Serdar (MDPI AG, 2020-3-28)
Neuronal noise is a major factor affecting the communication between coupled neurons. In this work, we propose a statistical toolset to infer the coupling between two neurons under noise. We estimate these statistical dependencies from data which are generated by a coupled Hodgkin–Huxley (HH) model with additive noise. To infer the coupling using observation data, we employ copulas and information-theoretic quantities, such as the mutual information (MI) and the transfer entropy (TE). Copulas and MI between...
Citation Formats
B. C. TOBLER-AMMANN, E. Sürer, R. H. KNOLS, A. BORGHESE, and E. D. DE BRUIN, “User Perspectives on Exergames Designed to Explore the Hemineglected Space for Stroke Patients With Visuospatial Neglect: Usability Study,” JMIR SERIOUS GAMES, pp. 0–0, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32406.