Ajami, H., Mcheick, H., & Mustapha, K. (2019). A pervasive healthcare system for COPD patients. Diagnostics, 9(4), 135. https://doi.org/10.3390/diagnostics9040135
Ali, F., El-Sappagh, S., Islam, S. R., Ali, A., Attique, M., Imran, M., & Kwak, K.-S. (2021). An intelligent healthcare monitoring framework using wearable sensors and social networking data. Future generation computer systems, 114, 23-43. https://doi.org/10.1016/j.future.2020.07.047
Alirezaie, M., Hammar, K., Blomqvist, E., Nyström, M., & Ivanova, V. (2018). SmartEnv Ontology in E-care@ home. Paper presented at the 9th International Semantic Sensor Networks Workshop, Monterey, CA, United States, October 9, 2018. https://api.semanticscholar.org/CorpusID:52300644
Alirezaie, M., Renoux, J., Köckemann, U., Kristoffersson, A., Karlsson, L., Blomqvist, E., . . . Loutfi, A. (2017). An ontology-based context-aware system for smart homes: E-care@ home. Sensors, 17(7), 1586. https://doi.org/10.3390/s17071586
Alowais, S. A., Alghamdi, S. S., Alsuhebany, N., Alqahtani, T., Alshaya, A. I., Almohareb, S. N., ... & Albekairy, A. M. (2023). Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC medical education, 23(1), 689.
https://doi.org/10.1186/s12909-023-04698-z
Alti, A., Laborie, S., & Roose, P. (2015, October). Cloud semantic-based dynamic multimodal platform for building mHealth context-aware services. In 2015 IEEE 11th international conference on wireless and mobile computing, networking and communications (WiMob) (pp. 357-364). IEEE.
https://doi.org/10.1109/WiMOB.2015.7347984
Anton, D., Berges, I., Bermúdez, J., Goñi, A., & Illarramendi, A. (2018). A telerehabilitation system for the selection, evaluation and remote management of therapies. Sensors, 18(5), 1459. https://doi.org/10.3390/s18051459
Azadi, A., & Bastami, M. (2021). The effect of fall preventive program on fear of falling, falling frequency, and quality of life of the elderly nursing homes residents in Khoram Abad and Ilam cites. Technology and Research Information System, 3(4), 0-0. http://dx.doi.org/10.21859/ijnr-12049
Bae, I.-H. (2014). An ontology-based approach to ADL recognition in smart homes. Future generation computer systems, 33, 32-41. https://doi.org/10.1016/j.future.2013.04.004
Bajenaru, L., Dobre, C., Ciobanu, R.-I., & Balog, A. (2019). Patient profile using ontologies in an older adults monitoring IoT-based platform. Paper presented at the 2019 E-Health and Bioengineering Conference (EHB). 10.1109/EHB47216.2019.8970027
Baldassini, D., Colombo, V., Spoladore, D., Sacco, M., & Arlati, S. (2017, September). Customization of domestic environment and physical training supported by virtual reality and semantic technologies: A use-case. In 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI) (pp. 1-6). IEEE.
https://doi.org/10.1109/RTSI.2017.8065923
Basori, A. H. (2020). Intelligent Wearable IOT Continuous Monitoring System for Elderly Based on Deep Learning Algorithm. IoT and ICT for Healthcare Applications, 275-292. https://doi.org/10.1007/978-3-030-42934-8_15
Belani, H., Šolić, P., & Perković, T. (2022, August). Towards ontology-based requirements engineering for IoT-supported well-being, aging and health. In 2022 IEEE 30th International Requirements Engineering Conference Workshops (REW) (pp. 65-74). IEEE.https://doi.org/10.1109/REW56159.2022.00019
Belani, H., Šolić, P., Perković, T., & Pleština, V. (2023). IoT Ontology Development Process for Well-Being, Aging and Health: Challenges and Opportunities. Paper presented at the 2023 8th International Conference on Smart and Sustainable Technologies (SpliTech). https://doi.org/10.23919/SpliTech58164.2023.10193435
Bennasar, M., Price, B. A., Stuart, A., Gooch, D., McCormick, C., Mehta, V., . . . Bandara, A. K. (2019). Knowledge-based architecture for recognising activities of older people. Procedia computer science, 159, 590-599. https://doi.org/10.1016/j.procs.2019.09.214
Bialas, A. (2016). Computer-aided sensor development focused on security issues. Sensors, 16(6), 759. https://doi.org/10.3390/s16060759
Blaya, J. A. B., Palma, J., Villa, A., Perez, D., & Iborra, E. (2009). Ontology based approach to the detection of domestics problems for independent senior people. Paper presented at the International Work-Conference on the Interplay Between Natural and Artificial Computation.https://doi.org/10.1007/978-3-642-02267-8_7
Bukharaini, Mona, Kazemi, A., Valmohammadi, Chengiz, Abbaspour, & Ghanbar. (2023). Intelligent system architecture recommending health-oriented sensors based on machine and deep learning algorithms. Journal of Information Technology in Engineering Design, 15(1). https://journals.iau.ir/article_699473.html?lang=en
Calvaresi, D., & Calbimonte, J.-P. (2020). Real-time compliant stream processing agents for physical rehabilitation. Sensors, 20(3), 746. https://doi.org/10.3390/s20030746
Chatterjee, A., Prinz, A., Gerdes, M., & Martinez, S. (2021). An automatic ontology-based approach to support logical representation of observable and measurable data for healthy lifestyle management: Proof-of-concept study. Journal of Medical Internet Research, 23(4), e24656. https://doi.org/10.2196/24656
Chen, X., Cheng, G., Wang, F. L., Tao, X., Xie, H., & Xu, L. (2022). Machine and cognitive intelligence for human health: systematic review. Brain Inform, 9(1), 5. https://doi.org/10.1186/s40708-022-00153-9
Chen, Y., Liu, Z., Huang, Z., Hu, C., & Chen, X. (2019). A Services Development Approach for Smart Home Based on Natural Language Instructions. Paper presented at the SEKE. https://doi.org/10.18293/SEKE2019-173
Chiang, T. C., & Liang, W. H. (2015). A context-aware interactive health care system based on ontology and fuzzy inference. Journal of Medical Systems, 39, 1-25.
Costanzo, A., & Pino, C. (2014). An Arduino based Health Monitoring System for Elderly People Living at Home. https://doi.org/10.5220/0004762303360340
De Nicola, A., & Villani, M. L. (2021). Smart City Ontologies and Their Applications: A Systematic Literature Review.
Sustainability, 13(10), 5578.
https://doi.org/10.3390/su13105578
El-Sappagh, S., Ali, F., Hendawi, A., Jang, J.-H., & Kwak, K.-S. (2019). A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard.
BMC medical informatics and decision making, 19(1), 1-36.
https://doi.org/10.1186/s12911-019-0806-z
Esch, J. (2013). A survey on ambient intelligence in healthcare.
Proceedings of the IEEE, 101(12), 2467-2469. https://doi.org/
10.1109/JPROC.2013.2286654
Evchina, Y., Dvoryanchikova, A., & Lastra, J. L. M. (2012). Ontological framework of context-aware and reasoning middleware for smart homes with health and social services.
Paper presented at the 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC). https://doi.org/
10.1109/ICSMC.2012.6377857
Ganesan, A., Paul, A., & Seo, H. (2022). Elderly people activity recognition in smart grid monitoring environment.
Mathematical Problems in Engineering, 2022(1), 9540033.
https://doi.org/10.1155/2022/9540033
Garcia-Valverde, T., Muñoz, A., Arcas, F., Bueno-Crespo, A., & Caballero, A. (2014). Heart health risk assessment system: a nonintrusive proposal using ontologies and expert rules.
BioMed research international, 2014.
https://doi.org/10.1155/2014/959645
Gayathri, K., Easwarakumar, K., & Elias, S. (2020). Fuzzy ontology based activity recognition for assistive health care using smart home. International Journal of Intelligent Information Technologies (IJIIT), 16(1), 17-31. https://doi.org/10.4018/IJIIT.2020010102
Gruber, T. R. (1993). A translation approach to portable ontology specifications.
Knowledge acquisition, 5(2), 199-220.
https://doi.org/10.1006/knac.1993.1008
Gyrard, A., Tabeau, K., Fiorini, L., Kung, A., Senges, E., De Mul, M., . . . Fabbricotti, I. (2021). Knowledge Engineering Framework for IoT Robotics Applied to Smart Healthcare and Emotional Well-Being.
International Journal of Social Robotics, 1-28.
https://doi.org/10.1007/s12369-021-00821-6
Hamidi, H., & Fazeli, K. (2018). Using Internet of Things and biosensors technology for health applications.
IET Wireless Sensor Systems, 8(6), 260-267.
https://doi.org/10.1049/iet-wss.2017.0129
Harish, S., & Gayathri, K. (2019). Smart home based prediction of symptoms of alzheimer’s disease using machine learning and contextual approach.
Paper presented at the 2019 International Conference on Computational Intelligence in Data Science (ICCIDS). https://doi.org/
10.1109/ICCIDS.2019.8862163
Hong, X., & Nugent, C. (2011). Implementing evidential activity recognition in sensorised homes.
Technology and Health Care, 19(1), 37-52.
https://doi.org/10.3233/THC-2011-0610
Huang, X., Yi, J., Zhu, X., & Chen, S. (2016). A semantic approach with decision support for safety service in smart home management.
Sensors, 16(8), 1224.
https://doi.org/10.3390/s16081224
Ivașcu, T., & Negru, V. (2021). Activity-Aware Vital Sign Monitoring Based on a Multi-Agent Architecture.
Sensors, 21(12), 4181.
https://doi.org/10.3390/s21124181
Jin, W., & Kim, D. H. (2018). Design and implementation of e-health system based on semantic sensor network using IETF YANG.
Sensors, 18(2), 629.
https://doi.org/10.3390/s18020629
Kalijehdouz, A., & Tahmatan, A. (2025). Challenges facing the application of the Internet of Things in medicine and healthcare. Paper presented at the The first international conference on computer, electricity, mechanics and engineering sciences, Iran. https://civilica.com/doc/2179205
Karagiorgou, S., Ntalaperas, D., Vafeiadis, G., Alexandrou, D., Perakis, K., Baltas, D., . . . Blok, M. (2018). An ontology-driven elderly people home mobilization approach.
In Emerging Topics in Semantic Technologies (pp. 13-25): IOS Press. https://doi.org/10.3233/978-1-61499-894-5-13
Karar, M. E., Shehata, H. I., & Reyad, O. (2022). A survey of IoT-based fall detection for aiding elderly care: Sensors, methods, challenges and future trends.
Applied Sciences, 12(7), 3276.
https://doi.org/10.3390/app12073276
Kashani, M. H., Madanipour, M., Nikravan, M., Asghari, P., & Mahdipour, E. (2021). A systematic review of IoT in healthcare: Applications, techniques, and trends.
Journal of Network and Computer Applications, 192, 103164.
https://doi.org/10.1016/j.jnca.2021.103164
Khattak, A. M., Khan, W. A., Pervez, Z., Iqbal, F., & Lee, S. (2016). Towards a self adaptive system for social wellness.
Sensors, 16(4), 531.
https://doi.org/10.3390/s16040531
Kim, E., & Choi, J. (2006). An ontology-based context model in a smart home.
Paper presented at the International Conference on Computational Science and Its Applications. https://doi.org/10.1007/11751632_2
Kymäläinen, T., Plomp, J., Tuomisto, T., Heinilä, J., & Urhemaa, T. (2017). Designing smart living for ageing Alice–and the persons next door.
Intelligent Buildings International, 9(1), 3-22.
https://doi.org/10.1080/17508975.2015.1005566
Latfi, F., Lefebvre, B., & Descheneaux, C. (2007). Ontology-Based Management of the Telehealth Smart Home, Dedicated to Elderly in Loss of Cognitive Autonomy. Paper presented at the OWLED.
Majumder, S., Aghayi, E., Noferesti, M., Memarzadeh-Tehran, H., Mondal, T., Pang, Z., & Deen, M. J. (2017). Smart homes for elderly healthcare—Recent advances and research challenges.
Sensors, 17(11), 2496.
https://doi.org/10.3390/s17112496
Mastropietro, A., Palumbo, F., Orte, S., Girolami, M., Furfari, F., Baronti, P., . . . Sykora, M. (2021). A multi-domain ontology on healthy ageing for the characterization of older adults status and behaviour. Journal of Ambient Intelligence and Humanized Computing, 1-19. https://doi.org/10.1007/s12652-021-03627-6
Mavropoulos, T., Symeonidis, S., Tsanousa, A., Giannakeris, P., Rousi, M., Kamateri, E., . . . Kompatsiaris, I. (2021). Smart integration of sensors, computer vision and knowledge representation for intelligent monitoring and verbal human-computer interaction
. Journal of Intelligent Information Systems, 57(2), 321-345.
https://doi.org/10.1007/s10844-021-00648-7
Meng, X., Wang, F., Xie, Y., Song, G., Ma, S., Hu, S., . . . Yang, Y. (2018). An ontology-driven approach for integrating intelligence to manage human and ecological health risks in the geospatial sensor web.
Sensors, 18(11), 3619.
https://doi.org/10.3390/s18113619
Miori, V., & Russo, D. (2012). Anticipating health hazards through an ontology-based, IoT domotic environment.
Paper presented at the 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing. https://doi.org/
10.1109/IMIS.2012.109
morady, k., ghaebi, a., & kamran, m. (2021). Identifying the components of meaning creation and its application in ontology based on the Peirce’s sign. Library and Information Sciences, -. https://doi.org/10.30481/lis.2021.269083.1795
Morita, P. P., Sahu, K. S., & Oetomo, A. (2023). Health Monitoring Using Smart Home Technologies: Scoping Review. JMIR Mhealth Uhealth, 11, e37347. https://doi.org/10.2196/37347
Moubadi, S. (2018). New management practices using the Internet of Things.
Paper presented at the International Conference on Management, Entrepreneurship and Economic Development, Iran. https://civilica.com/doc/1927751
Nabli, H., Regaig, I., Djemaa, R. B., & Sliman, L. (2022). Never Alone: a Quality of Context-aware Monitoring System for Aging in Place Smart Home. Paper presented at the 2022 IEEE 21st International Symposium on Network Computing and Applications (NCA). https://doi.org/
10.1109/NCA57778.2022.10013515
Naqvi, M. R., Iqbal, M. W., Shahzad, S. K., Ashraf, M. U., Alsubhi, K., & Aljahdali, H. M. (2023). Ontological Model for Cohesive Smart Health Services Management. Computers, Materials & Continua, 74(2). https://doi.org/10.32604/cmc.2023.030340
Ni, Q., Pau de la Cruz, I., & Garcia Hernando, A. B. (2016). A foundational ontology-based model for human activity representation in smart homes. Journal of Ambient Intelligence and Smart Environments, 8(1), 47-61. https://doi.org/10.3233/AIS-150359
Nugroho, L. E., Lazuardi, L., & Non-alinsavath, K. (2015). Ontology-based context aware for ubiquitous home care for elderly people
. Paper presented at the 2015 2nd International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE). https://doi.org/
10.1109/ICITACEE.2015.7437849
Okoli, C., & Schabram, K. (2015). A guide to conducting a systematic literature review of information systems research.
http://sprouts.aisnet.org/10-26
Paganelli, F., Spinicci, E., & Giuli, D. (2008). ERMHAN: A Context‐Aware Service Platform to Support Continuous Care Networks for Home‐Based Assistance.
International journal of telemedicine and applications,
2008(1), 867639.
https://doi.org/10.1155/2008/867639
Paraschiakos, S., Cachucho, R., Moed, M., van Heemst, D., Mooijaart, S., Slagboom, E. P., . . . Beekman, M. (2020). Activity recognition using wearable sensors for tracking the elderly.
User Modeling and User-Adapted Interaction, 30(3), 567-605.
https://doi.org/10.1007/s11257-020-09268-2
Purnomo, A. F., & Sanjaya, P. (2024). Precision Medicine. BUILDING INDONESIA EMAS 2045 THROUGH HEALTH SCIENCE AND TECHNOLOGY, 131.
Rajesh, R., Hemalatha, S., Nagarajan, S. M., Devarajan, G. G., Omar, M., & Bashir, A. K. (2024). Threat detection and mitigation for tactile internet driven consumer IoT-healthcare system.
IEEE Transactions on Consumer Electronics. https://doi.org/
10.1109/TCE.2024.3370193
Rhayem, A., Mhiri, M. B. A., Drira, K., Tazi, S., & Gargouri, F. (2021). A semantic‐enabled and context‐aware monitoring system for the internet of medical things.
Expert Systems, 38(2), e12629.
https://doi.org/10.1111/exsy.12629
Salguero, A. G., Espinilla, M., Delatorre, P., & Medina, J. (2018). Using ontologies for the online recognition of activities of daily living.
Sensors, 18(4), 1202.
https://doi.org/10.3390/s18041202
Sapci, A. H., & Sapci, H. A. (2019). Innovative Assisted Living Tools, Remote Monitoring Technologies, Artificial Intelligence-Driven Solutions, and Robotic Systems for Aging Societies: Systematic Review. JMIR Aging, 2(2), e15429. https://doi.org/10.2196/15429
Sezer, O. B., Can, S. Z., & Dogdu, E. (2015). Development of a smart home ontology and the implementation of a semantic sensor network simulator: An Internet of Things approach.
Paper presented at the 2015 International Conference on Collaboration Technologies and Systems (CTS). https://doi.org/
10.1109/CTS.2015.7210389
Sfar, H., & Bouzeghoub, A. (2018). Activity recognition for anomalous situations detection.
IRBM, 39(6), 400-406.
https://doi.org/10.1016/j.irbm.2018.10.012
Shukla, S. (2023). Real-time monitoring and predictive analytics in healthcare: harnessing the power of data streaming.
International Journal of Computer Applications, 185(8), 32-37. https://doi.org/
10.5120/ijca2023922738
Sicilia, J.-J., Sánchez-Alonso, S., García-Barriocanal, E., & Pontikaki, M. (2009). Knowledge representation issues in ontology-based clinical knowledge management systems.
International Journal of Technology Management, 47(1-3), 191-206.
https://doi.org/10.1504/IJTM.2009.024122
Smirnov, A. V., Shilov, N., & Kashevnik, A. M. (2010). Context-oriented Knowledge Management for Intelligent user Assistance in Smart Space. Paper presented at the WEBIST (2). https://doi.org/10.5220/0002789903830386
Sondes, T., Elhadj, H. B., & Chaari, L. (2019). An ontology-based healthcare monitoring system in the internet of things.
Paper presented at the 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC). https://doi.org/
10.1109/IWCMC.2019.8766510
Spoladore, D., Mahroo, A., Trombetta, A., & Sacco, M. (2022). DOMUS: A domestic ontology managed ubiquitous system. Journal of Ambient Intelligence and Humanized Computing, 13(6), 3037-3052. https://doi.org/10.1007/s12652-021-03138-4
Spoladore, D., & Sacco, M. (2018). Semantic and dweller-based decision support system for the reconfiguration of domestic environments: RecAAL.
Electronics, 7(9), 179.
https://doi.org/10.3390/electronics7090179
Srivastava, Durgesh, Sharma, Neha, Sinwar, Deepak, . . . Prabhat, H. (2023). Intelligent Internet of Things for Smart Healthcare Systems: CRC Press.
Tao, M., Ota, K., & Dong, M. (2017). Ontology-based data semantic management and application in IoT-and cloud-enabled smart homes. Future generation computer systems, 76, 528-539.
Trinugroho, Y. B. D., Reichert, F., & Fensli, R. (2012). An ontology-enhanced SOA-based home integration platform for the well-being of inhabitants. Paper presented at the 4th IADIS International Conference on e-Health.
Tun, S. Y. Y., Madanian, S., & Mirza, F. (2021). Internet of things (IoT) applications for elderly care: a reflective review.
Aging clinical and experimental research, 33(4), 855-867.
https://doi.org/10.1007/s40520-020-01545-9
Van Nguyen, T., Lim, W., Nguyen, H., Choi, D., & Lee, C. (2010). Context ontology implementation for smart home. arXiv preprint arXiv:1007.1273. https://doi.org/10.48550/arXiv.1007.1273
Vergari, F., Salmon Cinotti, T., D'Elia, A., Roffia, L., Zamagni, G., & Lamberti, C. (2011). An integrated framework to achieve interoperability in person-centric health management.
International journal of telemedicine and applications, 2011.
https://doi.org/10.1155/2011/549282
Winter, G. (2019). Machine learning in healthcare.
British Journal of Healthcare Management, 25(2), 100-101.
https://doi.org/10.12968/bjhc.2019.25.2.100
Xu, J., Lee, Y.-H., Tsai, W.-T., Li, W., Son, Y.-S., Park, J.-H., & Moon, K.-D. (2009). Ontology-based smart home solution and service composition. Paper presented at the 2009 International Conference on Embedded Software and Systems.
Zolfaghari, S., Zall, R., & Keyvanpour, M. R. (2016). SOnAr: Smart Ontology Activity recognition framework to fulfill Semantic Web in smart homes.
Paper presented at the 2016 Second international conference on web research (ICWR). https://doi.org/
10.1109/ICWR.2016.7498458
Zulfiqar, A.-A., Vaudelle, O., Hajjam, M., Geny, B., Talha, S., Letourneau, D., . . . Andres, E. (2022). Deployment of a remote monitoring solution for the elderly: experiment with an elderly patient.
Gériatrie et Psychologie Neuropsychiatrie du Vieillissement, 20(4), 457-472. https://doi.org/
10.1684/pnv.2022.1066
