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The Internet of Things has permeated all modern processes, including personal healthcare. Every day, the number of wearable devices that monitor different health variables of people increases. The possibility of incorporating the data captured by these devices into people's medical records is a desired scenario for the possibility of real-time patient monitoring. However, this has problems that must be addressed, such as reliability in measurements, integration into clinical records, interoperability between healthcare systems, and data security. Therefore, it is important to have updated information on advances in Medical Internet of Things in order to guide ICM researchers and developers towards best practices in device design and development for ICM. The main results found are directed towards research that allows the inclusion of semantics among intelligent objects in order to facilitate interoperability, monitoring, tracking, and timely decision-making in patients.

Ana María Muñoz Velasco, Universidad del Cauca, Popayán Colombia.

https://orcid.org/0000-0002-8059-9177

Miguel Ángel Niño Zambrano, Universidad del Cauca, Popayán Colombia.

https://orcid.org/0000-0002-5916-2552

1.
Muñoz Velasco AM, Niño Zambrano M Ángel. Systematic mapping: An approach to the semantic interoperability of smart objects in the area of the Internet of Medical Things. inycomp [Internet]. 2023 Jun. 26 [cited 2024 Dec. 22];25(3):e-21913165. Available from: https://revistaingenieria.univalle.edu.co/index.php/ingenieria_y_competitividad/article/view/13165

Gubbi J, Buyya R, Marusic S, Palaniswami M. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems [Internet]. 2013;29(7):1645–60. Available from: http://www.sciencedirect.com/science/article/pii/S0167739X13000241 DOI: https://doi.org/10.1016/j.future.2013.01.010

Al-Fuqaha A, Guizani M, Mohammadi M, Aledhari M, Ayyash M. Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications. IEEE Communications Surveys & Tutorials. 2015;17(4):2347–76. DOI: https://doi.org/10.1109/COMST.2015.2444095

Department of Economic and Social Affairs Population Division World Population Ageing 2013 United Nations • New York, 2013.

World Health Organization. The global burden of chronic. WHO. 2007;

Singh K, Kaushik K, Ahatsham, Shahare V. Role and impact of wearables in iot healthcare. In: Advances in Intelligent Systems and Computing. Springer; 2020. p. 735–42. DOI: https://doi.org/10.1007/978-981-15-1480-7_67

Bandodkar AJ, Jia W, Yardimci C, Wang X, Ramirez J, Wang J. Tattoo-based noninvasive glucose monitoring: A proof-of-concept study. Anal Chem [Internet]. 2015 Jan 6 [cited 2020 Nov 12];87(1):394–8. Available from: https://pubs.acs.org/sharingguidelines DOI: https://doi.org/10.1021/ac504300n

Julian J, Kavitha R, Joy Rakesh Y. An iot based wearable device for healthcare monitoring. In: Advances in Intelligent Systems and Computing. Springer Science and Business Media Deutschland GmbH; 2021. p. 515–25. DOI: https://doi.org/10.1007/978-981-15-5679-1_50

Chen Y, Xiao F, Huang H, Sun L. RF-IDH: An intelligent fall detection system for hemodialysis patients via COTS RFID. Future Generation Computer Systems. 2020 Dec 1;113:13–24. DOI: https://doi.org/10.1016/j.future.2020.06.047

Rojas-Bolaños M. Sc. (c) LJ, Niño-Zambran Ph. D MÁ, Pabón-Guerrero MSc (c) A, Rojas-Bolaños M. Sc. (c) LJ, Niño-Zambran Ph. D MÁ, Pabón-Guerrero MSc (c) A. Prevención del síndrome de Burnout mediante programación neurolingüística soportada por la Web de las Cosas: Mapeo sistemático. Revista Facultad de Ingeniería [Internet]. 2020 [cited 2023 Aug 16];29(54):11758. Available from: http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0121-11292020000100035&lng=en&nrm=iso&tlng=es DOI: https://doi.org/10.19053/01211129.v29.n54.2020.11758

(5) (PDF) Systematic Mapping Studies in Software Engineering [Internet]. [cited 2023 Aug 12]. Available from: https://www.researchgate.net/publication/228350426_Systematic_Mapping_Studies_in_Software_Engineering

Guidelines for performing Systematic Literature Reviews in Software Engineering [Internet]. [cited 2023 Aug 16]. Available from: https://www.researchgate.net/publication/302924724_Guidelines_for_performing_Systematic_Literature_Reviews_in_Software_Engineering

Un Modelo para Investigación Documental. Consuelo Hoyos Botero | PDF | Science | Conocimiento [Internet]. [cited 2023 Aug 16]. Available from: https://es.scribd.com/document/406768006/Un-Modelo-Para-Investigacion-Documental-Consuelo-Hoyos-Botero#

Serrano Castaño CEnrique. Modelo integral para el profesional en ingeniería. 2005;

Moreira J, Ferreira Pires L, Sinderen M van, Daniele L. SAREF4health: IoT standard-based ontology-driven healthcare systems. Frontiers in Artificial Intelligence and Applications. 2018;306:239–52.

de Souza PL, de Souza WL, Pires LF, Moreira JLR, da Silva Rodrigues RJ, Ciferri RR. Ontology-Driven IoT System for Monitoring Hypertension. International Conference on Enterprise Information Systems, ICEIS - Proceedings. 2023;1:757–67. DOI: https://doi.org/10.5220/0011989100003467

Pathak N, Mukherjee A, Misra S. SemBox: Semantic Interoperability in a Box for Wearable e-Health Devices. IEEE J Biomed Health Inform [Internet]. 2023 May 1 [cited 2023 Aug 11];27(5):2306–13. Available from: https://pubmed.ncbi.nlm.nih.gov/35439151/ DOI: https://doi.org/10.1109/JBHI.2022.3168071

Jain S, Nehra M, Kumar R, Dilbaghi N, Hu T, Kumar S, et al. Internet of medical things (IoMT)-integrated biosensors for point-of-care testing of infectious diseases. Biosens Bioelectron [Internet]. 2021 [cited 2023 Aug 12];179:113074. Available from: https://doi.org/10.1016/j.bios.2021.113074 DOI: https://doi.org/10.1016/j.bios.2021.113074

Pirbhulal S, Samuel OW, Wu W, Sangaiah AK, Li G. A joint resource-aware and medical data security framework for wearable healthcare systems. Future Generation Computer Systems. 2019 Jun 1;95:382–91. DOI: https://doi.org/10.1016/j.future.2019.01.008

Semantic Web Technologies for Sharing Clinical Information in Health Care Systems. 2019 [cited 2023 Aug 12]; Available from: https://orcid.org/0000-0002-1262-7084

Chong I, Ali S. Schema Ontology Model to Support Semantic Interoperability in Healthcare Applications: Use Case of Depressive Disorder. International Conference on Ubiquitous and Future Networks, ICUFN. 2021 Aug 17;2021-August:409–12. DOI: https://doi.org/10.1109/ICUFN49451.2021.9528708

Sasse J, Darms J, Fluck J. Semantic Metadata Annotation Services in the Biomedical Domain—A Literature Review. Applied Sciences 2022, Vol 12, Page 796 [Internet]. 2022 Jan 13 [cited 2023 Aug 11];12(2):796. Available from: https://www.mdpi.com/2076-3417/12/2/796/htm DOI: https://doi.org/10.3390/app12020796

Abdelouahid RA, Debauche O, Mahmoudi S, Marzak A. Literature Review: Clinical Data Interoperability Models. Information 2023, Vol 14, Page 364 [Internet]. 2023 Jun 27 [cited 2023 Aug 12];14(7):364. Available from: https://www.mdpi.com/2078-2489/14/7/364/htm DOI: https://doi.org/10.3390/info14070364

Mavrogiorgou A, Kiourtis A, Touloupou M, Kapassa E, Kyriazis D. Emerging Science Journal Internet of Medical Things (IoMT): Acquiring and Transforming Data into HL7 FHIR through 5G Network Slicing. 2019 [cited 2023 Aug 12];3(2). Available from: www.IJournalSE.org DOI: https://doi.org/10.28991/esj-2019-01170

Yasmeen G, Javed N, Ahmed T. Interoperability: A Challenge for IoMT. ECS Trans [Internet]. 2022 Apr 24 [cited 2023 Aug 12];107(1):4459–67. Available from: https://iopscience.iop.org/article/10.1149/10701.4459ecst DOI: https://doi.org/10.1149/10701.4459ecst

Rychert J. In support of interoperability: A laboratory perspective. Int J Lab Hematol. 2023 Aug 1; DOI: https://doi.org/10.1111/ijlh.14113

Arvisais-Anhalt S, Lau M, Lehmann CU, Holmgren AJ, Medford RJ, Ramirez CM, et al. The 21st Century Cures Act and Multiuser Electronic Health Record Access: Potential Pitfalls of Information Release. J Med Internet Res [Internet]. 2022 [cited 2023 Aug 12];24(2). Available from: https://pubmed.ncbi.nlm.nih.gov/35175207/ DOI: https://doi.org/10.2196/34085

Pournik O, Ahmad B, Lim SN, Keung C, Peake A, Rafid S, et al. Interoperable E-Health System Using Structural and Semantic Interoperability Approaches in CAREPATH. 2023 Jun 30 [cited 2023 Aug 12];608–11. Available from: https://ebooks.iospress.nl/doi/10.3233/SHTI230571 DOI: https://doi.org/10.3233/SHTI230571

Bayoumy K, Gaber M, Elshafeey A, Mhaimeed O, Dineen EH, Marvel FA, et al. Smart wearable devices in cardiovascular care: where we are and how to move forward. Nat Rev Cardiol. 2021 Aug 1;18(8):581–99. DOI: https://doi.org/10.1038/s41569-021-00522-7

Wang P, Lin Z, Yan X, Chen Z, Ding M, Song Y, et al. A Wearable ECG Monitor for Deep Learning Based Real-Time Cardiovascular Disease Detection. 2022 Jan 24 [cited 2023 Aug 12]; Available from: http://arxiv.org/abs/2201.10083

Machorro-Cano I, Alor-Hernández G, Andrés Paredes-Valverde M, Ramos-Deonati U, Luis Sánchez-Cervantes J, Rodríguez-Mazahua L. PISIoT: A Machine Learning and IoT-Based Smart Health Platform for Overweight and Obesity Control. [cited 2023 Aug 12]; Available from: www.mdpi.com/journal/applsci

Baraka A, Shaban H, Abou El-Nasr M, Attallah O. Wearable Accelerometer and sEMG-Based Upper Limb BSN for Tele-Rehabilitation. [cited 2023 Aug 12]; Available from: www.mdpi.com/journal/applsci

Titi S, Elhadj H Ben, Chaari L. An ontology-based healthcare monitoring system in the internet of things. 2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019. 2019 Jun 1;319–24. DOI: https://doi.org/10.1109/IWCMC.2019.8766510

Podda S, Azeroual O, Fabre R, Störl U, Qi R. Elastic Stack and GRAPHYP Knowledge Graph of Web Usage: A Win–Win Workflow for Semantic Interoperability in Decision Making. Future Internet 2023, Vol 15, Page 190 [Internet]. 2023 May 25 [cited 2023 Aug 12];15(6):190. Available from: https://www.mdpi.com/1999-5903/15/6/190/htm DOI: https://doi.org/10.3390/fi15060190

Received 2023-08-17
Accepted 2023-08-23
Published 2023-06-26