期刊
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
卷 24, 期 9, 页码 2535-2549出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JBHI.2020.2990529
关键词
Robot sensing systems; Artificial intelligence; Cloud computing; Diseases; Healthcare 4; 0; cyber-physical systems; homecare; robotics; early diseases prevention; elderly healthcare; artificial intelligence; cloud computing; flexible sensing
类别
资金
- 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]
- Academy of Finland (AKA) [316810, 313449, 313448, 313448, 313449, 316811] Funding Source: Academy of Finland (AKA)
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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