{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T21:41:03Z","timestamp":1776721263675,"version":"3.51.2"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819543809","type":"print"},{"value":"9789819543816","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,11,16]],"date-time":"2025-11-16T00:00:00Z","timestamp":1763251200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,16]],"date-time":"2025-11-16T00:00:00Z","timestamp":1763251200000},"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":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-4381-6_31","type":"book-chapter","created":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:00:08Z","timestamp":1763190008000},"page":"455-469","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Real-Time Anomaly Detection and\u00a0Completion in\u00a0Data Streams Based on\u00a0RRCF and\u00a0RTHaLRTC Tensor Completion"],"prefix":"10.1007","author":[{"given":"Tong","family":"Liang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Jia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Binghua","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziqing","family":"Chang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiahe","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jordi","family":"Sol\u00e9-Casals","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yasuhiro","family":"Kushihashi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryutaro","family":"Himeno","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhe","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,11,16]]},"reference":[{"issue":"6","key":"31_CR1","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1682\/JRRD.2010.09.0177","volume":"48","author":"E Scheme","year":"2011","unstructured":"Scheme, E., Englehart, K.: Electromyogram pattern recognition for control of powered upper-limb prostheses: state of the art and challenges for clinical use. J. Rehabil. Res. Dev. 48(6), 643\u2013659 (2011)","journal-title":"J. Rehabil. Res. Dev."},{"issue":"4","key":"31_CR2","doi-asserted-by":"publisher","first-page":"797","DOI":"10.1109\/TNSRE.2014.2305111","volume":"22","author":"D Farina","year":"2014","unstructured":"Farina, D., Jiang, N., Rehbaum, H., et al.: The extraction of neural information from the surface EMG for the control of upper-limb prostheses: emerging avenues and challenges. IEEE Trans. Neural Syst. Rehabil. Eng. 22(4), 797\u2013809 (2014)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"issue":"3","key":"31_CR3","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1109\/TNSRE.2011.2108667","volume":"19","author":"C Cipriani","year":"2011","unstructured":"Cipriani, C., et al.: Online myoelectric control of a dexterous hand prosthesis by transradial amputees. IEEE Trans. Neural Syst. Rehabil. Eng. 19(3), 260\u2013270 (2011)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"issue":"3","key":"31_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1541880.1541882","volume":"41","author":"V Chandola","year":"2009","unstructured":"Chandola, V., Banerjee, A., Kumar, V.: Anomaly detection: a survey. ACM Comput. Surv. 41(3), 1\u201358 (2009)","journal-title":"ACM Comput. Surv."},{"key":"31_CR5","doi-asserted-by":"crossref","unstructured":"Liu, F.T., Ting, K.M., Zhou, Z.-H.: Isolation forest. In: 2008 Eighth IEEE International Conference on Data Mining, pp. 413\u2013422 (2008)","DOI":"10.1109\/ICDM.2008.17"},{"issue":"1","key":"31_CR6","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1109\/TPAMI.2012.39","volume":"35","author":"J Liu","year":"2013","unstructured":"Liu, J., Musialski, P., Wonka, P., Ye, J.: Tensor completion for estimating missing values in visual data. IEEE Trans. Pattern Anal. Mach. Intell. 35(1), 208\u2013220 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"31_CR7","doi-asserted-by":"publisher","first-page":"512","DOI":"10.1109\/JAS.2021.1003865","volume":"8","author":"D Xiong","year":"2021","unstructured":"Xiong, D., Zhang, D., Zhao, X., Zhao, Y.: Deep learning for EMG-based human-machine interaction: a review. IEEE\/CAA J. Automatica Sinica 8(3), 512\u2013533 (2021)","journal-title":"IEEE\/CAA J. Automatica Sinica"},{"key":"31_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105643","volume":"195","author":"A Bahador","year":"2020","unstructured":"Bahador, A., Yousefi, M., Marashi, M., Bahador, O.: High accurate lightweight deep learning method for gesture recognition based on surface electromyography. Comput. Methods Programs Biomed. 195, 105643 (2020)","journal-title":"Comput. Methods Programs Biomed."},{"key":"31_CR9","doi-asserted-by":"crossref","unstructured":"Azghadi, M.R., et\u00a0al.: Hardware implementation of deep network accelerators towards healthcare and biomedical applications. IEEE Trans. Biomed. Circuits Syst. 14(6), 1138\u20131159 (2020)","DOI":"10.1109\/TBCAS.2020.3036081"},{"key":"31_CR10","unstructured":"Guha, S., Mishra, N., Roy, G., Schrijvers, O.: Robust random cut forest based anomaly detection on streams. In: Proceedings of the 33rd International Conference on Machine Learning (ICML), pp. 2712\u20132721 (2016)"},{"key":"31_CR11","doi-asserted-by":"publisher","first-page":"1828","DOI":"10.1007\/s11431-020-1839-5","volume":"64","author":"F Duan","year":"2021","unstructured":"Duan, F., Jia, H., Zhang, Z., et al.: On the robustness of EEG tensor completion methods. SCIENCE CHINA Technol. Sci. 64, 1828\u20131842 (2021)","journal-title":"SCIENCE CHINA Technol. Sci."},{"key":"31_CR12","doi-asserted-by":"publisher","first-page":"1062","DOI":"10.1007\/s12559-018-9574-9","volume":"10","author":"J Sol\u00e9-Casals","year":"2018","unstructured":"Sol\u00e9-Casals, J., Caiafa, C.F., Zhao, Q., Nikulin, V.V., Cichocki, A.: Brain-computer interface with corrupted EEG data: a tensor completion approach. Cogn. Comput. 10, 1062\u20131074 (2018)","journal-title":"Cogn. Comput."},{"key":"31_CR13","unstructured":"Fang, S., Wen, Q., Luo, Y., Zhe, S., Sun, L.: BayOTIDE: Bayesian online multivariate time series imputation with functional decomposition. In: Proceedings of the 41st International Conference on Machine Learning, vol. 235, pp. 12993\u201313009. PMLR, 21\u201327 July 2024"},{"key":"31_CR14","doi-asserted-by":"crossref","unstructured":"Ji, T., Sivakumar, A.N., Chowdhary, G., Driggs-Campbell, K.: Proactive anomaly detection for robot navigation with multi-sensor fusion. IEEE Rob. Autom. Lett. 7(2), 4975\u20134982 (2022)","DOI":"10.1109\/LRA.2022.3153989"},{"key":"31_CR15","doi-asserted-by":"crossref","unstructured":"Zhou, H., Zhang, S., Peng, J., et al.: Informer: beyond efficient transformer for long sequence time-series forecasting. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, pp. 11106\u201311115 (2021)","DOI":"10.1609\/aaai.v35i12.17325"},{"key":"31_CR16","unstructured":"Thalmic Labs. Myo armband: Hardware overview (2016). https:\/\/support.getmyo.com\/hc\/en-us\/articles\/202592497"},{"key":"31_CR17","unstructured":"Liang, T., Kushihashi, Y.: Comparative studies on performance of tensor completion algorithms for partially missing data in forearm EMG. In: Proceedings of the 2024 IEICE Society Conference, pp. A\u20138\u201301 (2024)"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-4381-6_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T20:47:07Z","timestamp":1776718027000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-4381-6_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,16]]},"ISBN":["9789819543809","9789819543816"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-4381-6_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,16]]},"assertion":[{"value":"16 November 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Okinawa","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 November 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 November 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"32","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iconip2025.apnns.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}