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001-es BibID:	BIBFORM075399
035-os BibID:	(WOS)000466165100010 (Scopus)85069664541
Első szerző:	Garai Ábel (informatikus, közgazdász)
Cím:	Revolutionizing healthcare with IoT and cognitive, cloud-based telemedicine / Ábel Garai, István Péntek, Attila Adamkó
Dátum:	2019
ISSN:	1785-8860
Megjegyzések:	Telemedicine instruments and e-Health mobile wearable devices are designed to enhance patients' quality of life. The adequate man-and-machine cognitive ecosystem is the missing link for that in healthcare. This research program is dedicated to deliver the suitable solution. This research's goal is the establishment of adaptive informatics framework for telemedicine. This is achieved through the deployed open telemedicine interoperability hub-system. The presented inter-cognitive sensor-sharing system solution augments the healthcare ecosystem through extended interconnection among the telemedicine, IoT e-Health and hospital information system domains. The general purpose of this experiment is building an augmented, adaptive, cognitive and also universal healthcare information technology ecosphere. This study structures the actual questions and answers regarding the missing links and gaps between the emerging Sensor Hub technology and the traditional hospital information systems. The Internet-of-Things space penetrated the personal and industrial environments. The e-Health smart devices are neither widely accepted nor deployed in the ordinary healthcare service. This paper reviews the major technological burdens and proposes necessary actions for enhancing the healthcare service level with Sensor Hub and Internet-of-Things technologies. Hereby we report the studies on varying simplex, duplex, full-duplex, data package- and file-based information technology modalities establishing stable system interconnection among clinical instruments, healthcare systems and eHealth smart devices in trilateral cooperation comprising the University of Debrecen Department of Information Technology, Semmelweis University Second Paediatric Clinic and T-Systems Healthcare Competence Center Central and Eastern Europe.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk Cognitive healthcare telemedicine telecare e-health IoT sensor hub hybrid cloud healthcare IT
Megjelenés:	Acta Polytechnica Hungarica. - 16 : 2 (2019), p. 163-181. -
További szerzők:	Péntek István (1988-) (programtervező informatikus) Adamkó Attila (1978-) (informatikus)
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat DOI Szerző által megadott URL
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001-es BibID:	BIBFORM113639
035-os BibID:	(scopus)85160585859
Első szerző:	Péntek István (programtervező informatikus)
Cím:	Monitoring Pandemics, using Sensor Data from Smart Ecosystems / István Péntek, Attila Adamkó
Dátum:	2023
ISSN:	1785-8860
Megjegyzések:	In recent decades, new solutions, shaping smart city architecture. Data generated by healthcare and smart devices infiltrate into smart city solutions. This topic is heavily challenging and rapidly evolving. The constant and fast change in the subject technologies that implement an architecture and the sensitivity of data from human sources can be seen as key factors in these challenges. In this research, we have tried to present some possibilities that are obtainable by smart city solutions, in such a way, that they can be used effectively, by healthcare during a pandemic. Research focuses on how data from wearable devices can be collected and used, how these can be integrated into the ecosystem of smart cities, and how data can be used in health care. Access to health-related and personal data is regulated by the General Data Protection Regulation, which made the architecture use a high level of abstraction business definition and extensibility. The envisioned features of the above-mentioned architecture rely solely on the disciplinary areas of service-oriented architecture and component-oriented development methodologies. The described smart ecosystem offers the possibility of cognitive supplementation of human capabilities based on general bio-sensor data. It illustrates an example of use, for a healthcare workflow, where service abstraction plays a key role. ? 2023, Budapest Tech Polytechnical Institution. All rights reserved.
Tárgyszavak:	Természettudományok Matematika- és számítástudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk
Megjelenés:	Acta Polytechnica Hungarica. - 20 : 5 (2023), p. 75-90. -
További szerzők:	Adamkó Attila (1978-) (informatikus)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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