Multiservice Noninvasive Solution for Home Monitoring Toward Healthcare Industry 5.0
The transition toward Healthcare Industry 5.0 requires personalized, intelligent, and privacy-preserving solutions. Additionally, the proliferation of home monitoring in the current Healthcare 4.0 framework has been embracing the challenge for invasiveness/privacy issues brought by home monitoring sensors and devices, potentially forsaking the conceived human-centric attributes of Smart Healthcare Industry 5.0. At the intersection of Healthcare Industry 5.0 and secured home monitoring, we propose a multi-service non-invasive solution for distributed home monitoring. A new infrastructure based on Fiber Bragg Grating (FBG) accelerometers is designed, realizing non-invasive/high-privacy distributed home monitoring by solely monitoring floor vibrations. To achieve home monitoring based on the low-dimensional data collected by FBG accelerometers, a multi-class hierarchical support vector machinebased algorithm (H-SVM) is proposed, which achieves simultaneous multi-service classification with FBG noise/interference mitigation. Moreover, an enhanced time difference of arrival (TDoA)-based algorithm (E-TDoA) is proposed for real-time localization of users, with the enhanced accuracy specifically based on FBG-collected data. Experimental results show an overall accuracy of 93.62% for multi-service classification, with a low processing time of 4.1 ms, meanwhile comprising a localization accuracy of 0.715 m (sufficient for home monitoring multi-service delivery).
Authors
- Paulo Antunes (ORCID: https://orcid.org/0000-0001-9129-3539)
- Alessandra Kalinowski (ORCID: https://orcid.org/0000-0002-0572-0678)
- Matilde Rocha (ORCID: https://orcid.org/0000-0002-2961-9160)
- Hao Ran (ORCID: https://orcid.org/0000-0002-5763-9935)
- Paulo André (ORCID: https://orcid.org/0000-0002-6276-4976)
- Nélia Alberto (ORCID: https://orcid.org/0000-0002-8176-7953)
- M. Fátima Domingues (ORCID: https://orcid.org/0000-0002-9958-0409)
- Ayman Radwan (ORCID: https://orcid.org/0000-0003-1935-6077)
- Carolina Sousa (ORCID: https://orcid.org/0000-0002-9235-9496)
Institutions
- Khalifa University of Science and Technology (AE)
- Instituto de Telecomunicações (PT)
- University of Aveiro (PT)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2025-08-28
- DOI
- https://doi.org/10.1109/jiot.2025.3603932
- Primary Topic
- Innovation in Digital Healthcare Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Khalifa University of Science, Technology and Research
- Fundação para a Ciência e a Tecnologia