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Saso Koceski

Researcher at University of L'Aquila

Publications -  97
Citations -  682

Saso Koceski is an academic researcher from University of L'Aquila. The author has contributed to research in topics: Health care & Mobile robot. The author has an hindex of 12, co-authored 94 publications receiving 545 citations.

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Evaluation of an Assistive Telepresence Robot for Elderly Healthcare

TL;DR: The telepresence robot system designed to improve the well-being of elderly by supporting them to do daily activities independently, to facilitate social interaction in order to overcome a sense of social isolation and loneliness as well as to support the professional caregivers in everyday care is described.
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MR Neurography: Advances.

TL;DR: In this paper, the authors present a useful seminar for readers who want to gain knowledge of the advancements in the MRN pulse sequences currently used in clinical practice as well as learn about the other techniques on the horizon aimed at better depiction of nerve anatomy, pathology, and potential noninvasive evaluation of nerve degeneration or regeneration.
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A Telemedicine Robot System for Assisted and Independent Living

TL;DR: Design and validation of a low-cost telepresence robot that can assist the elderly and their professional caregivers, in everyday activities is presented and results of the conducted evaluation study are presented.
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Continuous Blood Pressure Monitoring as a Basis for Ambient Assisted Living (AAL) – Review of Methodologies and Devices

TL;DR: The main goal of this paper is to provide a comprehensive review of various methodologies for continuous cuff-less blood pressure measurement, as well as to evidence recently developed devices and systems for continuousBlood pressure measurement that can be used in ambient assisted living applications.
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Control Architecture of a 10 DOF Lower Limbs Exoskeleton for Gait Rehabilitation

TL;DR: The control architecture of a 10 DOF lower limbs exoskeleton for the gait rehabilitation of patients with gait dysfunction has been described and an adaptive fuzzy controller which is capable of compensating for the influence of the dry friction was successfully designed, implemented and tested on an embedded real-time PC/104.