{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T02:14:15Z","timestamp":1773972855045,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":43,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,11,23]],"date-time":"2023-11-23T00:00:00Z","timestamp":1700697600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,23]]},"DOI":"10.1145\/3647444.3647944","type":"proceedings-article","created":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T13:48:36Z","timestamp":1715608116000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Harnessing Machine Learning and Deep Learning for Improved Epileptic Seizure Detection: A Review"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-0543-4353","authenticated-orcid":false,"given":"Anmol","family":"Chaturvedi","sequence":"first","affiliation":[{"name":"Faculty of Engineering and Technology, Poornima University, India"}]}],"member":"320","published-online":{"date-parts":[[2024,5,13]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2021.650050"},{"key":"e_1_3_2_1_2_1","first-page":"1","article-title":"An overview of machine learning methods in enabling IoMT-based epileptic seizure detection","author":"Noor Alaa Lateef","year":"2023","unstructured":"Al-Hajjar, Alaa Lateef Noor, and Ali Kadhum M. Al-Qurabat. \"An overview of machine learning methods in enabling IoMT-based epileptic seizure detection.\" The Journal of Supercomputing (2023): 1-48","journal-title":"The Journal of Supercomputing ("},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.imu.2020.100444"},{"key":"e_1_3_2_1_4_1","volume-title":"Materials & Continua 68, no. 1","author":"Majed Shamsah","year":"2021","unstructured":"Alotaibi, Shamsah Majed, Mohammed Imran Basheer, and Muhammad Adnan Khan. \"Ensemble Machine Learning Based Identification of Pediatric Epilepsy.\" Computers, Materials & Continua 68, no. 1 (2021)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2019.101707"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Baghersalimi Saleh Tomas Teijeiro David Atienza and Amir Aminifar. \"Personalized real-time federated learning for epileptic seizure detection.\" IEEE journal of biomedical and health informatics 26 no. 2 (2021): 898-909","DOI":"10.1109\/JBHI.2021.3096127"},{"key":"e_1_3_2_1_7_1","first-page":"S116","article-title":"Machine learning and wearable devices of the future","volume":"62","author":"Karoly Philippa","year":"2021","unstructured":"Beniczky, S\u00e1ndor, Philippa Karoly, Ewan Nurse, Philippe Ryvlin, and Mark Cook. \"Machine learning and wearable devices of the future.\" Epilepsia 62 (2021): S116-S124","journal-title":"Epilepsia"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2021.11.018"},{"key":"e_1_3_2_1_9_1","volume-title":"IEEE","author":"Dan J.","year":"2020","unstructured":"Chatzichristos, Christos, J. Dan, A. Mundanad Narayanan, Nick Seeuws, K. Vandecasteele, M. De Vos, A. Bertrand, and S. Van Huffel. \"Epileptic seizure detection in eeg via fusion of multi-view attention-gated u-net deep neural networks.\" In 2020 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), pp. 1-7. IEEE, 2020"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2020.102360"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3057076"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2022.111226"},{"key":"e_1_3_2_1_13_1","first-page":"344","volume-title":"Preliminary results.\" In 2020 IEEE 20th Mediterranean Electrotechnical Conference (MELECON)","author":"Ermini Daniele","year":"2020","unstructured":"Frassineti, Lorenzo, Daniele Ermini, Rachele Fabbri, and Claudia Manfredi. \"Neonatal seizures detection using stationary wavelet transform and deep neural networks: Preliminary results.\" In 2020 IEEE 20th Mediterranean Electrotechnical Conference (MELECON), pp. 344-349. IEEE, 2020."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-023-01958-z"},{"key":"e_1_3_2_1_15_1","unstructured":"https:\/\/www.healthresearch.org\/eeg-brain-function-measurement\/"},{"issue":"4","key":"e_1_3_2_1_16_1","first-page":"1542","article-title":"Epileptic state classification by fusing hand-crafted and deep learning EEG features","volume":"68","author":"Cao Jiuwen","year":"2020","unstructured":"Hu, Dinghan, Jiuwen Cao, Xiaoping Lai, Yaomin Wang, Shuang Wang, and Yao Ding. \"Epileptic state classification by fusing hand-crafted and deep learning EEG features.\" IEEE Transactions on Circuits and Systems II: Express Briefs 68, no. 4 (2020): 1542-1546.","journal-title":"IEEE Transactions on Circuits and Systems II: Express Briefs"},{"key":"e_1_3_2_1_17_1","first-page":"4117","volume-title":"Speech and Signal Processing (ICASSP)","author":"Loesch-Biffar Anna Mira","year":"2020","unstructured":"Kar\u00e1csony, Tam\u00e1s, Anna Mira Loesch-Biffar, Christian Vollmar, Soheyl Noachtar, and Jo\u00e3o Paulo Silva Cunha. \"A deep learning architecture for epileptic seizure classification based on object and action recognition.\" In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4117-4121. IEEE, 2020."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1140\/epjs\/s11734-022-00714-3"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2021.650050"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Liu Guoyang Weidong Zhou and Minxing Geng. \"Automatic seizure detection based on S-transform and deep convolutional neural network.\" International journal of neural systems 30 no. 04 (2020): 1950024. ware\/ Technology Used Results Key advantages Limitations Relevance to other works","DOI":"10.1142\/S0129065719500242"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/abf473"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1515\/bmt-2019-0001"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroscience.2021.11.017"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2970012"},{"key":"e_1_3_2_1_25_1","first-page":"1","article-title":"Effective epileptic seizure detection based on the event-driven processing and machine learning for mobile healthcare","author":"Qaisar Mian","year":"2020","unstructured":"Mian Qaisar, Saeed, and Abdulhamit Subasi. \"Effective epileptic seizure detection based on the event-driven processing and machine learning for mobile healthcare.\" Journal of Ambient Intelligence and Humanized Computing (2020): 1-13","journal-title":"Journal of Ambient Intelligence and Humanized Computing ("},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Rashed-Al-Mahfuz Md Mohammad Ali Moni Shahadat Uddin Salem A. Alyami Matthew A. Summers and Valsamma Eapen. \"A deep convolutional neural network method to detect seizures and characteristic frequencies using epileptic electroencephalogram (EEG) data.\" IEEE journal of translational engineering in health and medicine 9 (2021): 1-12","DOI":"10.1109\/JTEHM.2021.3050925"},{"key":"e_1_3_2_1_27_1","first-page":"53","article-title":"Changes of the brain's bioelectrical activity in cognition, consciousness, and some mental disorders","volume":"31","author":"Azimi Leila","year":"2017","unstructured":"Roohi-Azizi, Mahtab, Leila Azimi, Soomaayeh Heysieattalab, and Meysam Aamidfar. \"Changes of the brain's bioelectrical activity in cognition, consciousness, and some mental disorders.\" Medical journal of the Islamic Republic of Iran 31 (2017): 53.","journal-title":"Medical journal of the Islamic Republic of Iran"},{"key":"e_1_3_2_1_28_1","first-page":"1","volume-title":"Setting a benchmark.\" In 2020 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)","author":"Asif Umar","year":"2020","unstructured":"Roy, Subhrajit, Umar Asif, Jianbin Tang, and Stefan Harrer. \"Seizure type classification using EEG signals and machine learning: Setting a benchmark.\" In 2020 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), pp. 1-6. IEEE, 2020"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.31083\/j.jin.2020.01.24"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2020.07.004"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph18115780"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12008-020-00715-3"},{"key":"e_1_3_2_1_33_1","first-page":"89","volume-title":"Krishna Kant Singh, and Akansha Singh. \"Diagnosing of disease using machine learning.\" In Machine learning and the internet of medical things in healthcare","author":"Singh Narendra","year":"2021","unstructured":"Singh, Pushpa, Narendra Singh, Krishna Kant Singh, and Akansha Singh. \"Diagnosing of disease using machine learning.\" In Machine learning and the internet of medical things in healthcare, pp. 89-111. Academic Press, 2021."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"crossref","unstructured":"Srinath Rajagopalan and Rajagopal Gayathri. \"Detection and classification of electroencephalogram signals for epilepsy disease using machine learning methods.\" international Journal of imaging Systems and technology 31 no. 2 (2021): 729-740","DOI":"10.1002\/ima.22486"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1111\/epi.16967"},{"issue":"2","key":"e_1_3_2_1_36_1","first-page":"1","article-title":"Fundamentals of EEG measurement","volume":"2","year":"2002","unstructured":"Teplan, Michal. \"Fundamentals of EEG measurement.\" Measurement science review 2, no. 2 (2002): 1-11.","journal-title":"Measurement science review"},{"key":"e_1_3_2_1_37_1","volume-title":"2003. 04534","author":"Palani K.","year":"2020","unstructured":"Thanaraj, K. Palani, B. Parvathavarthini, U. John Tanik, V. Rajinikanth, Seifedine Kadry, and Krishnamurthy Kamalanand. \"Implementation of deep neural networks to classify EEG signals using gramian angular summation field for epilepsy diagnosis.\" arXiv preprint arXiv: 2003. 04534 (2020)."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2976866"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.3390\/s20143987"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3049649"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2020.102215"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2021.109441"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/acb089"}],"event":{"name":"ICIMMI 2023: International Conference on Information Management & Machine Intelligence","location":"Jaipur India","acronym":"ICIMMI 2023"},"container-title":["Proceedings of the 5th International Conference on Information Management &amp; Machine Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3647444.3647944","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3647444.3647944","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T17:23:18Z","timestamp":1758216198000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3647444.3647944"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,23]]},"references-count":43,"alternative-id":["10.1145\/3647444.3647944","10.1145\/3647444"],"URL":"https:\/\/doi.org\/10.1145\/3647444.3647944","relation":{},"subject":[],"published":{"date-parts":[[2023,11,23]]},"assertion":[{"value":"2024-05-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}