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2 publications found

Poststroke acute dysexecutive syndrome, a disorder resulting from minor stroke due to disruption of network dynamics

Elisabeth B Marsh, Christian Brodbeck, Rafael H Llinas, Dania Mallick, Pranjeevan Kulasingham, Jonathan Z Simon

Conference Proceedings of the National Academy of Sciences , vol. 117(52) , pp. 33578-33585 · 2020 · Cited by 19

Biosignal ProcessingPhysiological Monitoring and Digital Health

Abstract

Stroke patients with small central nervous system infarcts often demonstrate an acute dysexecutive syndrome characterized by difficulty with attention, concentration, and processing speed, independent of lesion size or location. We use magnetoencephalography (MEG) to show that disruption of network dynamics may be responsible. Nine patients with recent minor strokes and eight age-similar controls underwent cognitive screening using the Montreal cognitive assessment (MoCA) and MEG to evaluate differences in cerebral activation patterns. During MEG, subjects participated in a visual picture–word matching task. Task complexity was increased as testing progressed. Cluster-based permutation tests determined differences in activation patterns within the visual cortex, fusiform gyrus, and lateral temporal lobe. At visit 1, MoCA scores were significantly lower for patients than controls (median [interquartile range …

Local 5G operator architecture for delay critical telehealth applications

Rakshitha De Silva, Yushan Siriwardhana, Tharaka Samarasinghe, Mika Ylianttila, Madhusanka Liyanage

Conference 2020 IEEE 3rd 5G World Forum (5GWF) , pp. 257-262 · 2020 · Cited by 10

Mobile and Next-Generation NetworksPhysiological Monitoring and Digital Health

Abstract

Network softwarization enables the novel concept of Local 5G Operator (L5GO) networks, for deploying localized 5G solutions to serve case and location specific communication needs. This paper proposes a L5GO network architecture for delay critical future telehealth services, considering two use cases on augmented reality assisted and robotic aided surgery. The paper compares the latency performance of the proposed L5GO architecture with a traditional legacy network and a network equipped with Multi-access Edge Computing (MEC). The results highlight the unique advantages of utilizing an L5GO to cater the communication needs of delay critical telehealth, compared to a traditional network.