Homecare robotic systems for healthcare 4.0: visions and enabling technologies
Open accessAbstract
Powered by the technologies that have originated from manufacturing, the fourth revolution of healthcare technologies is happening (Healthcare 4.0). As an example of such revolution, new generation homecare robotic systems (HRS) based on the cyber-physical systems (CPS) with higher speed and more intelligent execution are emerging. In this article, the new visions and features of the CPS-based HRS are proposed. The latest progress in related enabling technologies is reviewed, including artificial intelligence, sensing fundamentals, materials and machines, cloud computing and communication, as well as motion capture and mapping. Finally, the future perspectives of the CPS-based HRS and the technical challenges faced in each technical area are discussed.
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Medical 4.0 technologies are evolving into a patient-centred approach in which data will be provided to industry participants to develop better technology and healthcare delivery concepts.
“These technologies are evolving into a patient-centred approach in which the data will be provided to industry participants to develop better technology and healthcare delivery concepts [28,29].”
From Medical 4.0 technologies for healthcare: Features, capabilities, and applications (2022) · cites this paper as [28]
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References 168 · Cited by 213
- Authors
- Yang, G., Pang, Z., Jamal Deen, M., Dong, M., Zhang, Y.-T., Lovell, N., & Rahmani, A. M.
- Affiliations
- State Key Laboratory Fluid Power and Mechatronic Systems (CN)
- ABB (Sweden) (SE)
- Muroran Institute of Technology (JP)
- City University of Hong Kong (HK)
- UNSW Sydney (AU)
- University of California, Irvine (US)
- ORCID
- Venue
- IEEE Journal of Biomedical and Health Informatics
- Published
- 2020-09
- Volume
- 24
- Issue
- 9
- Pages
- 2535-2549
- ISSN
- 2168-2194 (ISSN-L)
- 2168-2208
- OpenAlex
- W3018662283
- Cited by
- 213
- References
- 168
- Citations by year
- 2026: 21 · 2025: 39 · 2024: 46 · 2023: 39 · 2022: 38 · 2021: 21 · 2020: 8 · 2019: 1
- FWCI
- 3.64
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- IEEE Journal of Biomedical and Health Informatics (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Muroran Institute of Technology Academic Resources Archieve (Muroran Institute of Technology) (submittedVersion, cc-by)
- Institutional Repositories DataBase (IRDB) (submittedVersion, cc-by)
- CityU Scholars (submittedVersion, cc-by)
- Funders
- National Natural Science Foundation of China (51890884, 51975513, 51821093)
- Natural Science Foundation of Zhejiang Province (LR20E050003)
- Zhejiang University Special Scientific Research Fund for COVID-19 Prevention and Control (2020XGZX017)
- Director Foundation of the State Key Laboratory of Fluid Power and Mechatronic Systems (SKLoFP_ZZ_2002)
- Robotics Institute of Zhejiang University (K18-508116-008-03)
- China's Thousand Talents Plan Young Professionals Program
- MIRA
- McMaster University
- Canada Research Chair Program
- JSPS KAKENHI (JP16K00117)
- KDDI Foundation
- Academy of Finland (313448, 313449, 316810, 316811)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Robotics and Automated Systems
- Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- Healthcare 4.0, cyber-physical systems, artificial intelligence, sensor technology, cloud computing, communication technology, motion capture, mapping, enabling technologies
- MeSH terms
- Cloud Computing, Artificial Intelligence, Delivery of Health Care, Humans, Robotic Surgical Procedures
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