5G Light-Emitting Biomedical Robots for Hospital Disinfection
Hospital-acquired infections (HAIs) pose a significant challenge to healthcare systems worldwide, exacerbated by the COVID-19 pandemic. Current disinfection methods often fall short in ensuring comprehensive sterilization of high-contact areas, leading to persistent risks. This study addresses this gap by leveraging 5G biomedical internet of things (IoT) robots equipped with ultra-violet light emitting diodes (UV-LEDs) for effective disinfection. Our approach focuses on destroying the genetic material of pathogens, thereby preventing their spread within medical facilities. By integrating autonomous IoT 5G disinfection robots, we aim to enhance hospital sanitation and continuous infectious disease surveillance. A thorough review of nine biomedical studies underscores the efficacy of UV-based disinfection methods. We demonstrate that advancements in 5G infrastructure will significantly boost IoT and 5G medical robotic innovations, facilitating their application in both hospital settings and industrial healthcare automation. Thus, this paper presents a robust framework for utilizing 5G and IoT technologies in medical robotics to improve healthcare safety and efficacy.
Authors
- Jazuli Sanusi Kazaure (ORCID: https://orcid.org/0000-0001-7681-2177)
- Matthew Abiola Oladipupo (ORCID: https://orcid.org/0000-0002-5984-6217)
- Nwamaka U. Okafor (ORCID: https://orcid.org/0000-0001-5571-229X)
- Ugochukwu Okwudili Matthew (ORCID: https://orcid.org/0000-0003-0828-9710)
- Ogobuchi Daniel Okey (ORCID: https://orcid.org/0000-0003-0686-2763)
- Demóstenes Zegarra Rodríguez (ORCID: https://orcid.org/0000-0001-5401-7551)
- Renata Lopes Rosa (ORCID: https://orcid.org/0000-0002-5839-0692)
- Lateef Olawale Fatai (ORCID: https://orcid.org/0009-0008-2697-7377)
- Victor Nosakhare Oriakhi
Institutions
- University College Dublin (IE)
- Universidade Federal de Lavras (BR)
- The Federal Polytechnic, Ado-Ekiti (NG)
- University of Salford (GB)
- Universidade Federal do ABC (BR)
Publication Details
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1109/nigercon62786.2024.10927410
- Citations
- 1
- Primary Topic
- Molecular Communication and Nanonetworks
- Type
- article
- Field-Weighted Citation Impact
- 0.18