A Review on the Application of Internet of Medical Things in Wearable Personal Health Monitoring: A Cloud-Edge Artificial Intelligence Approach
Asia University · Muhammadiyah University of Yogyakarta · +4 more institutions
Abstract
The advent of the fifth-generation mobile communication technology (5G) era has catalyzed significant advancements in medical diagnosis delivery, primarily driven by the surge in medical data from wearable Internet of Medical Things (IoMT) devices. Nonetheless, the IoMT paradigm grapples with challenges related to data security, privacy, constrained computational capabilities at the edge, and an inadequate architecture for handling traditionally error-prone data. In this context, our research offers: (1) an exhaustive review of large-scale medical data propelled by IoMT, (2) an exploration of the prevailing cloud-edge Artificial Intelligence (AI) framework tailored for IoMT, and (3) an insight into the…
Citation impact
- FWCI
- 36.46
- Percentile
- 100%
- References
- 134
Authors
7- KTKarisma Trinanda PutraCorresponding
Asia University, Muhammadiyah University of Yogyakarta
- AZAhmad Zaki Arrayyan
Muhammadiyah University of Yogyakarta, Islamic University of Indonesia
- NHNur Hayati
Muhammadiyah University of Yogyakarta
- FFFirdaus Firdaus
Islamic University of Indonesia
- CDCahya Damarjati
Muhammadiyah University of Yogyakarta
Topics & keywords
- Internet of Things
- Cloud computing
- Wearable computer
- Computer science
- Enhanced Data Rates for GSM Evolution
- Edge computing
- Wearable technology
- Artificial intelligence