Smart City Gnosys
Smart city article details
| Title | Monitoring Pandemics, Using Sensor Data From Smart Ecosystems |
|---|---|
| ID_Doc | 37882 |
| Authors | Péntek I.; Adamkó A. |
| Year | 2023 |
| Published | Acta Polytechnica Hungarica, 20, 5 |
| DOI | http://dx.doi.org/10.12700/APH.20.5.2023.5.6 |
| Abstract | 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. |
| Author Keywords | activity tracker; healthcare; smart city; smart home; wearable |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
28850  | 0.89 | Enler E.; Pentek I.; Adamko A. | Healthcare Framework For Smarter Cities With Bio-Sensory Data | 11th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2020 - Proceedings (2020) |
| 12841 | 0.885 | Righi R.d.R.; Rodrigues V.F.; da Costa C.A.; Eskofier B. | Breaking Down The Data Path In Digital Health: From Edge To Fog And Beyond | IEEE Pervasive Computing, 24, 1 (2025) |
| 13086 | 0.871 | Enler E.; Pentek I.; Adamko A. | Building Smart City Solutions With Focus On Health Care And Gdpr | Handbook of Smart Cities (2021) |
| 57770 | 0.869 | Habibzadeh H.; Soyata T. | Toward Uniform Smart Healthcare Ecosystems: A Survey On Prospects, Security, And Privacy Considerations | Connected Health in Smart Cities (2019) |
| 3220 | 0.865 | Chondrogiannis E.; Andronikou V.; Karanastasis E.; Varvarigou T. | A Novel Approach For Clinical Data Harmonization | 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings (2019) |
| 57874 | 0.86 | Dritsa D.; Biloria N. | Towards A Multi-Scalar Framework For Smart Healthcare | Smart and Sustainable Built Environment, 7, 1 (2018) |
| 35604 | 0.86 | Fischer G.S.; Rodrigues V.F.; Righi R.D.R.; Costa C.A.D.; Policarpo L.M.; Da Silva R.G.G. | Looking At Smart Cities Through The Lens Of A Pandemic Era: A Systematic Literature Review | International Journal of Technology Management, 94, 3-4 (2024) |
| 28845 | 0.86 | Shafik W. | Healthcare And Its Applications In A Smart City | Healthcare-Driven Intelligent Computing Paradigms to Secure Futuristic Smart Cities (2024) |
| 21753 | 0.859 | Choudhury A.; Sarma K.K.; Misra D.D.; Guha K.; Iannacci J. | Edge Computing For Smart-City Human Habitat: A Pandemic-Resilient, Ai-Powered Framework | Journal of Sensor and Actuator Networks, 13, 6 (2024) |
| 3659 | 0.858 | Caratù M.; Pigliautile I.; Piselli C.; Fabiani C. | A Perspective On Managing Cities And Citizens' Well-Being Through Smart Sensing Data | Environmental Science and Policy, 147 (2023) |