{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:31:31Z","timestamp":1772119891311,"version":"3.50.1"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,1,4]],"date-time":"2025-01-04T00:00:00Z","timestamp":1735948800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,4]],"date-time":"2025-01-04T00:00:00Z","timestamp":1735948800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Telecommun Syst"],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1007\/s11235-024-01255-x","type":"journal-article","created":{"date-parts":[[2025,1,4]],"date-time":"2025-01-04T16:33:30Z","timestamp":1736008410000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Revolutionizing neurostimulator care: enhancing remote health monitoring through SDN-cloud networks"],"prefix":"10.1007","volume":"88","author":[{"given":"L. Leo","family":"Prasanth","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"E.","family":"Uma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,1,4]]},"reference":[{"key":"1255_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2023.109825","author":"SN Narayanan","year":"2023","unstructured":"Narayanan, S. N., & Subbian, S. (2023). HH model based smart deep brain stimulator to detect, predict and control epilepsy using machine learning algorithm. Journal of Neuroscience Methods. https:\/\/doi.org\/10.1016\/j.jneumeth.2023.109825","journal-title":"Journal of Neuroscience Methods"},{"key":"1255_CR2","doi-asserted-by":"publisher","unstructured":"Kumari, N., & Jain, V. K. (2022).\u00a0Fog based Healthcare Monitoring System in SDN-IoT Networks. https:\/\/doi.org\/10.1109\/icatiece56365.2022.10047334","DOI":"10.1109\/icatiece56365.2022.10047334"},{"key":"1255_CR3","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-022-12512-z","author":"K Singh","year":"2022","unstructured":"Singh, K., & Malhotra, J. (2022). Smart neurocare approach for detection of epileptic seizures using deep learning based temporal analysis of EEG patterns. Multimedia Tools and Applications. https:\/\/doi.org\/10.1007\/s11042-022-12512-z","journal-title":"Multimedia Tools and Applications"},{"key":"1255_CR4","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-022-07292-4","author":"EH Houssein","year":"2022","unstructured":"Houssein, E. H., Hammad, A., & Ali, A. A. (2022). Human emotion recognition from EEG-based brain\u2013computer interface using machine learning: A comprehensive review. Neural Computing and Applications. https:\/\/doi.org\/10.1007\/s00521-022-07292-4","journal-title":"Neural Computing and Applications"},{"key":"1255_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2012\/714391","volume":"2012","author":"X-Y Gao","year":"2012","unstructured":"Gao, X.-Y., Wang, L., Gaischek, I., Michenthaler, Y., Zhu, B., & Litscher, G. (2012). Brain-modulated effects of auricular acupressure on the regulation of autonomic function in healthy volunteers. Evidence-Based Complementary and Alternative Medicine, 2012, 1\u20138. https:\/\/doi.org\/10.1155\/2012\/714391","journal-title":"Evidence-Based Complementary and Alternative Medicine"},{"issue":"2","key":"1255_CR6","doi-asserted-by":"publisher","first-page":"66","DOI":"10.3390\/bdcc7020066","volume":"7","author":"I Kotenko","year":"2023","unstructured":"Kotenko, I., Saenko, I., Privalov, A., & Lauta, O. (2023). Ensuring SDN resilience under the influence of cyber attacks: Combining methods of topological transformation of stochastic networks, markov processes, and neural networks. Big Data and Cognitive Computing, 7(2), 66\u201366. https:\/\/doi.org\/10.3390\/bdcc7020066","journal-title":"Big Data and Cognitive Computing"},{"key":"1255_CR7","doi-asserted-by":"publisher","DOI":"10.1080\/08839514.2022.2145634","author":"A Finogeev","year":"2022","unstructured":"Finogeev, A., Deev, M., & Parygin, D. (2022). Intelligent SDN architecture with fuzzy neural network and blockchain for monitoring critical events. Applied Artificial Intelligence. https:\/\/doi.org\/10.1080\/08839514.2022.2145634","journal-title":"Applied Artificial Intelligence"},{"key":"1255_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2022\/3150756","volume":"2022","author":"B Preveze","year":"2022","unstructured":"Preveze, B., Alkhayyat, A., Abedi, F., Jawad, A. M., & Abosinnee, A. S. (2022). SDN-driven internet of health things: A novel adaptive switching technique for hospital healthcare monitoring system. Wireless Communications and Mobile Computing, 2022, 1\u201311. https:\/\/doi.org\/10.1155\/2022\/3150756","journal-title":"Wireless Communications and Mobile Computing"},{"key":"1255_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2022.103419","author":"D Soni","year":"2022","unstructured":"Soni, D., & Kumar, N. (2022). Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy. Journal of Network and Computer Applications. https:\/\/doi.org\/10.1016\/j.jnca.2022.103419","journal-title":"Journal of Network and Computer Applications"},{"key":"1255_CR10","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/9766844","author":"MKI Rahmani","year":"2022","unstructured":"Rahmani, M. K. I., Shuaib, M., Alam, S., Siddiqui, S. T., Ahmad, S., Bhatia, S., & Mashat, A. (2022). [Retracted] blockchain-based trust management framework for cloud computing-based internet of medical things (IoMT): A systematic review. Computational Intelligence and Neuroscience. https:\/\/doi.org\/10.1155\/2022\/9766844","journal-title":"Computational Intelligence and Neuroscience"},{"key":"1255_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.103110","volume":"71","author":"DH Snider","year":"2022","unstructured":"Snider, D. H., Linnville, S. E., Phillips, J. B., & Rice, G. M. (2022). Predicting hypoxic hypoxia using machine learning and wearable sensors. Biomedical Signal Processing and Control, 71, 103110. https:\/\/doi.org\/10.1016\/j.bspc.2021.103110","journal-title":"Biomedical Signal Processing and Control"},{"key":"1255_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.104005","volume":"78","author":"K Medhi","year":"2022","unstructured":"Medhi, K., Hoque, N., Dutta, S. K., & Hussain, Md. I. (2022). An efficient EEG signal classification technique for brain-computer interface using hybrid deep learning. Biomedical Signal Processing and Control, 78, 104005. https:\/\/doi.org\/10.1016\/j.bspc.2022.104005","journal-title":"Biomedical Signal Processing and Control"},{"key":"1255_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.simpa.2023.100473","volume":"15","author":"C Li","year":"2023","unstructured":"Li, C., Lammie, C., Amirsoleimani, A., Rahimi Azghadi, M., & Genov, R. (2023). Simulation of memristive crossbar arrays for seizure detection and prediction using parallel Convolutional Neural Networks. Software Impacts, 15, 100473. https:\/\/doi.org\/10.1016\/j.simpa.2023.100473","journal-title":"Software Impacts"},{"issue":"19","key":"1255_CR14","doi-asserted-by":"publisher","first-page":"6256","DOI":"10.3390\/molecules27196256","volume":"27","author":"MT Barros","year":"2022","unstructured":"Barros, M. T., \u0160iljak, H., Mullen, P. C., Papadias, C. B., Hyttinen, J., & Marchetti, N. (2022). Objective supervised machine learning-based classification and inference of biological neuronal networks. Molecules, 27(19), 6256\u20136256. https:\/\/doi.org\/10.3390\/molecules27196256","journal-title":"Molecules"},{"key":"1255_CR15","doi-asserted-by":"publisher","unstructured":"Shamsher, S., Thirumalaisamy, M., Tyagi, P., Muthiah, D., & Suvarna, N. (2022).\u00a0Detection of epileptic seizure using improved adaptive neuro fuzzy inference system with machine learning techniques. https:\/\/doi.org\/10.1109\/esci53509.2022.9758290","DOI":"10.1109\/esci53509.2022.9758290"},{"issue":"14","key":"1255_CR16","doi-asserted-by":"publisher","first-page":"4884","DOI":"10.3390\/s21144884","volume":"21","author":"D Javeed","year":"2021","unstructured":"Javeed, D., Gao, T., Khan, M. T., & Ahmad, I. (2021). A hybrid deep learning-driven SDN enabled mechanism for secure communication in internet of things (IoT). Sensors, 21(14), 4884. https:\/\/doi.org\/10.3390\/s21144884","journal-title":"Sensors"},{"key":"1255_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.icte.2023.03.006","author":"V Gugueoth","year":"2023","unstructured":"Gugueoth, V., Safavat, S., & Shetty, S. (2023). Security of Internet of Things (IoT) using federated learning and deep learning - Recent advancements, issues and prospects. ICT Express. https:\/\/doi.org\/10.1016\/j.icte.2023.03.006","journal-title":"ICT Express"},{"issue":"2","key":"1255_CR18","doi-asserted-by":"publisher","first-page":"1839","DOI":"10.32604\/csse.2023.040456","volume":"47","author":"B Isyaku","year":"2023","unstructured":"Isyaku, B., & Bin, K. (2023). Managing smart technologies with software-defined networks for routing and security challenges: A survey. Computer Systems Science and Engineering, 47(2), 1839\u20131879. https:\/\/doi.org\/10.32604\/csse.2023.040456","journal-title":"Computer Systems Science and Engineering"},{"key":"1255_CR19","doi-asserted-by":"publisher","DOI":"10.23919\/jcc.ja.2022-0681","author":"R Arthi","year":"2024","unstructured":"Arthi, R., Krishnaveni, S., & Zeadally, S. (2024). An intelligent SDN-IoT enabled intrusion detection system for healthcare systems using a hybrid deep learning and machine learning approach. China Communications. https:\/\/doi.org\/10.23919\/jcc.ja.2022-0681","journal-title":"China Communications"},{"key":"1255_CR20","doi-asserted-by":"publisher","first-page":"102301","DOI":"10.1109\/access.2023.3315856","volume":"11","author":"AH Alomari","year":"2023","unstructured":"Alomari, A. H., Subramaniam, S. K., Samian, N., Latip, R., & Zukarnain, Z. A. (2023). Dual-phase resource allocation algorithm in software-defined network SDN-enabled cloud. IEEE Access, 11, 102301\u2013102315. https:\/\/doi.org\/10.1109\/access.2023.3315856","journal-title":"IEEE Access"},{"key":"1255_CR21","doi-asserted-by":"publisher","first-page":"8397","DOI":"10.1109\/access.2023.3237201","volume":"11","author":"C Yan","year":"2023","unstructured":"Yan, C., & Sheng, S. (2023). Sdn+K8s routing optimization strategy in 5G cloud edge collaboration scenario. IEEE Access, 11, 8397\u20138406. https:\/\/doi.org\/10.1109\/access.2023.3237201","journal-title":"IEEE Access"},{"key":"1255_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.prime.2024.100543","author":"C Singh","year":"2024","unstructured":"Singh, C., & Jain, A. K. (2024). A comprehensive survey on DDoS attacks detection & mitigation in SDN-IoT network. E-Prime, Advances in Electrical Engineering, Electronics and Energy,. https:\/\/doi.org\/10.1016\/j.prime.2024.100543","journal-title":"E-Prime, Advances in Electrical Engineering, Electronics and Energy,"},{"key":"1255_CR23","unstructured":"Kumar, M., & Molinas, M. (2022). Human emotion recognition from EEG signals: model evaluation in DEAP and SEED datasets. In\u00a0Proceedings of the first workshop on artificial intelligence for human-machine interaction (AIxHMI 2022) co-located with the 21th international conference of the Italian association for artificial intelligence (AI* IA 2022), CEUR workshop proceedings, https:\/\/ceur-ws.org\/Vol-3368\/paper4.pdf"},{"issue":"5","key":"1255_CR24","doi-asserted-by":"publisher","first-page":"2387","DOI":"10.3390\/s23052387","volume":"23","author":"S Moontaha","year":"2023","unstructured":"Moontaha, S., Schumann, F. E. F., & Arnrich, B. (2023). Online Learning for Wearable EEG-Based Emotion Classification. Sensors, 23(5), 2387. https:\/\/doi.org\/10.3390\/s23052387","journal-title":"Sensors"},{"key":"1255_CR25","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-021-03462-9","author":"K Ross","year":"2021","unstructured":"Ross, K., Hungler, P., & Etemad, A. (2021). Unsupervised multi-modal representation learning for affective computing with multi-corpus wearable data. Journal of Ambient Intelligence and Humanized Computing. https:\/\/doi.org\/10.1007\/s12652-021-03462-9","journal-title":"Journal of Ambient Intelligence and Humanized Computing"},{"key":"1255_CR26","doi-asserted-by":"publisher","first-page":"33061","DOI":"10.1109\/access.2023.3263670","volume":"11","author":"S Wang","year":"2023","unstructured":"Wang, S., Qu, J., Zhang, Y., & Zhang, Y. (2023). Multimodal emotion recognition from EEG signals and facial expressions. IEEE Access, 11, 33061\u201333068. https:\/\/doi.org\/10.1109\/access.2023.3263670","journal-title":"IEEE Access"},{"key":"1255_CR27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-38857-6_5","volume-title":"Biomimetic and biohybrid systems. Living machines 2023. Lecture notes in computer science","author":"G Pogthanisorn","year":"2023","unstructured":"Pogthanisorn, G., Takahashi, R., & Capi, G. (2023). Learning time and recognition rate improvement of CNNs through transfer learning for BMI systems. In F. Meder, A. Hunt, L. Margheri, A. Mura, & B. Mazzolai (Eds.), Biomimetic and biohybrid systems. Living machines 2023. Lecture notes in computer science.  (Vol. 14157). Cham: Springer. https:\/\/doi.org\/10.1007\/978-3-031-38857-6_5"},{"key":"1255_CR28","doi-asserted-by":"publisher","first-page":"103482","DOI":"10.1016\/j.nicl.2023.103482","volume":"39","author":"AK Kiessner","year":"2023","unstructured":"Kiessner, A. K., Schirrmeister, R. T., Gemein, L. A., Boedecker, J., & Ball, T. (2023). An extended clinical EEG dataset with 15,300 automatically labelled recordings for pathology decoding. NeuroImage: Clinical, 39, 103482. https:\/\/doi.org\/10.1016\/j.nicl.2023.103482","journal-title":"NeuroImage: Clinical"}],"container-title":["Telecommunication Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11235-024-01255-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11235-024-01255-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11235-024-01255-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,18]],"date-time":"2025-03-18T04:28:37Z","timestamp":1742272117000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11235-024-01255-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,4]]},"references-count":28,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,3]]}},"alternative-id":["1255"],"URL":"https:\/\/doi.org\/10.1007\/s11235-024-01255-x","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-3849966\/v1","asserted-by":"object"}]},"ISSN":["1018-4864","1572-9451"],"issn-type":[{"value":"1018-4864","type":"print"},{"value":"1572-9451","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,4]]},"assertion":[{"value":"29 December 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 January 2025","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors of this study declare that they have no conflicts of interest, financial, personal, or otherwise, that could have influenced the research, and any future potential conflicts will be disclosed promptly and transparently.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"12"}}