{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T14:45:04Z","timestamp":1777128304712,"version":"3.51.4"},"reference-count":19,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T00:00:00Z","timestamp":1689724800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T00:00:00Z","timestamp":1689724800000},"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":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-023-16190-3","type":"journal-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T03:29:59Z","timestamp":1689737399000},"page":"15693-15709","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Nocturnal sleep sounds classification with artificial neural network for sleep monitoring"],"prefix":"10.1007","volume":"83","author":[{"given":"Chandrasen","family":"Pandey","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Neeraj","family":"Baghel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rinki","family":"Gupta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2462-737X","authenticated-orcid":false,"given":"Malay Kishore","family":"Dutta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,7,19]]},"reference":[{"issue":"1","key":"16190_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.5391\/IJFIS.2022.22.1.1","volume":"22","author":"TA Adesuyi","year":"2022","unstructured":"Adesuyi TA, Kim BM, Kim J (2022) Snoring sound classification using 1D-CNN model based on multi-feature extraction. Int J Fuzzy Logic Intell Syst 22(1):1\u201310. https:\/\/doi.org\/10.5391\/IJFIS.2022.22.1.1","journal-title":"Int J Fuzzy Logic Intell Syst"},{"key":"16190_CR2","doi-asserted-by":"publisher","first-page":"107559","DOI":"10.1016\/j.apacoust.2020.107559","volume":"171","author":"E Akbal","year":"2021","unstructured":"Akbal E, Tuncer T (2021) FusedTSNet: An automated nocturnal sleep sound classification method based on a fused textural and statistical feature generation network. Appl Acoust 171:107559. https:\/\/doi.org\/10.1016\/j.apacoust.2020.107559","journal-title":"Appl Acoust"},{"key":"16190_CR3","doi-asserted-by":"publisher","first-page":"5","DOI":"10.3390\/app6050143","volume":"6","author":"F Al\u00edas","year":"2016","unstructured":"Al\u00edas F, Socor\u00f3 JC, Sevillano X (2016) A review of physical and perceptual feature extraction techniques for speech, music and environmental sounds. Appl Sci 6:5. https:\/\/doi.org\/10.3390\/app6050143","journal-title":"Appl Sci"},{"issue":"5","key":"16190_CR4","doi-asserted-by":"publisher","first-page":"1003","DOI":"10.1109\/TBCAS.2016.2598794","volume":"10","author":"J Amoh","year":"2016","unstructured":"Amoh J, Odame K (2016) Artificial Neural Networks for identifying cough sounds. IEEE Trans Biomed Circuits Syst 10(5):1003\u20131011","journal-title":"IEEE Trans Biomed Circuits Syst"},{"issue":"3","key":"16190_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3392049","volume":"16","author":"X Chang","year":"2020","unstructured":"Chang X, Peng C, Xing G, Hao T, Zhou G (2020) iSleep: A Smartphone System for Unobtrusive Sleep Quality Monitoring. ACM Trans Sens Netw (TOSN) 16(3):1\u201332","journal-title":"ACM Trans Sens Netw (TOSN)"},{"key":"16190_CR6","doi-asserted-by":"publisher","first-page":"103238","DOI":"10.1016\/j.bspc.2021.103238","volume":"71","author":"S Cheng","year":"2022","unstructured":"Cheng S, Wang C, Yue K, Li R, Shen F, Shuai W, Li W, Dai L (2022) Automated sleep apnea detection in snoring signal using long short-term memory neural networks. Biomed Signal Process Control 71:103238","journal-title":"Biomed Signal Process Control"},{"issue":"1","key":"16190_CR7","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.tics.2019.11.002","volume":"24","author":"A Galv\u00e1n","year":"2020","unstructured":"Galv\u00e1n A (2020) The need for sleep in the adolescent brain. Trends Cogn Sci 24(1):79\u201389","journal-title":"Trends Cogn Sci"},{"key":"16190_CR8","unstructured":"Ganchev T, Fakotakis N, Kokkinakis G (2005) Comparative evaluation of various MFCC implementations on the speaker verification task Archived 2011\u201307\u201317 at the Wayback Machine. In 10th International Conference on Speech and Computer (SPECOM 2005), 1, pp. 191\u2013194"},{"key":"16190_CR9","unstructured":"Gouyon F, Pachet F, Delerue O (2000) On the Use of Zero-crossing Rate for an Application of Classification of Percussive Sounds, in Proceedings of the COST G-6 Conference on Digital Audio Effects (DAFX-00 - DAFX-06), Verona, Italy, December 7\u20139, 2000"},{"issue":"9","key":"16190_CR10","doi-asserted-by":"publisher","first-page":"987","DOI":"10.3390\/electronics8090987","volume":"8","author":"T Khan","year":"2019","unstructured":"Khan T (2019) A deep learning model for snoring detection and vibration notification using a smart wearable gadget. Electronics 8(9):987","journal-title":"Electronics"},{"issue":"1","key":"16190_CR11","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1186\/s12938-016-0306-7","volume":"16","author":"J Kim","year":"2017","unstructured":"Kim J, Kim T, Lee D, Kim JW, Lee K (2017) Exploiting temporal and nonstationary features in breathing sound analysis for multiple obstructive sleep apnea severity classification. Biomed Eng Online 16(1):6","journal-title":"Biomed Eng Online"},{"issue":"3","key":"16190_CR12","doi-asserted-by":"publisher","first-page":"776","DOI":"10.1109\/TITB.2010.2044797","volume":"14","author":"JM Kortelainen","year":"2010","unstructured":"Kortelainen JM, Mendez MO, Bianchi AM, Matteucci M, Cerutti S (2010) Sleep staging based on signals acquired through bed sensor. IEEE Trans Inf Technol Biomed 14(3):776\u2013785","journal-title":"IEEE Trans Inf Technol Biomed"},{"issue":"2","key":"16190_CR13","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1016\/j.dsp.2012.10.008","volume":"23","author":"M Kos","year":"2013","unstructured":"Kos M, Ka\u010di\u010d Z, Vlaj D (2013) Acoustic classification and segmentation using modified spectral roll-off and variance-based features. Digit Signal Process A Rev J 23(2):659\u2013674. https:\/\/doi.org\/10.1016\/j.dsp.2012.10.008","journal-title":"Digit Signal Process A Rev J"},{"issue":"5","key":"16190_CR14","doi-asserted-by":"publisher","first-page":"646","DOI":"10.3390\/s16050646","volume":"16","author":"J Mantua","year":"2016","unstructured":"Mantua J, Gravel N, Spencer R (2016) Reliability of sleep measures from four personal health monitoring devices compared to research-based actigraphy and polysomnography. Sensors 16(5):646","journal-title":"Sensors"},{"key":"16190_CR15","doi-asserted-by":"crossref","unstructured":"Marelli S, Castelnuovo A, Somma A, Castronovo V, Mombelli S, Bottoni D, Leitner C, Fossati A, Ferini-Strambi L (2020) Impact of COVID-19 lockdown on sleep quality in university students and administration staff. J Neurol, pp.1\u20138","DOI":"10.1007\/s00415-020-10056-6"},{"issue":"1","key":"16190_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41746-020-0244-4","volume":"3","author":"I Perez-Pozuelo","year":"2020","unstructured":"Perez-Pozuelo I, Zhai B, Palotti J, Mall R, Aupetit M, Garcia-Gomez JM, Taheri S, Guan Y, Fernandez-Luque L (2020) The future of sleep health: a data-driven revolution in sleep science and medicine. NPJ digital medicine 3(1):1\u201315","journal-title":"NPJ digital medicine"},{"issue":"2","key":"16190_CR17","doi-asserted-by":"publisher","first-page":"19","DOI":"10.4018\/IJWLTT.2020040102","volume":"15","author":"A Sharaff","year":"2020","unstructured":"Sharaff A, Nagwani NK (2020) ML-EC2: An algorithm for multi-label email classification using clustering. Int J Web-Based Learn Teach Technol (IJWLTT) 15(2):19\u201333","journal-title":"Int J Web-Based Learn Teach Technol (IJWLTT)"},{"issue":"7","key":"16190_CR18","doi-asserted-by":"publisher","first-page":"1538","DOI":"10.1249\/MSS.0000000000001947","volume":"51","author":"M De Zambotti","year":"2019","unstructured":"De Zambotti M, Cellini N, Goldstone A, Colrain IM, Baker FC (2019) Wearable sleep technology in clinical and research settings. Med Sci Sports Exerc 51(7):1538","journal-title":"Med Sci Sports Exerc"},{"key":"16190_CR19","doi-asserted-by":"crossref","unstructured":"Zhang H, Song C, Wang A, Xu C, Li D, Xu W (2019) Pdvocal: Towards privacy-preserving parkinson's disease detection using non-speech body sounds. In\u00a0The 25th Annual International Conference on Mobile Computing and Networking\u00a0(pp. 1\u201316)","DOI":"10.1145\/3300061.3300125"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-16190-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-16190-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-16190-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,31]],"date-time":"2024-01-31T08:51:22Z","timestamp":1706691082000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-16190-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,19]]},"references-count":19,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2024,2]]}},"alternative-id":["16190"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-16190-3","relation":{},"ISSN":["1573-7721"],"issn-type":[{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7,19]]},"assertion":[{"value":"15 March 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 June 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 July 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 July 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}}]}}