{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T06:10:24Z","timestamp":1697868624331},"reference-count":12,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2007,9,5]],"date-time":"2007-09-05T00:00:00Z","timestamp":1188950400000},"content-version":"vor","delay-in-days":8282,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems &amp; Computers in Japan"],"published-print":{"date-parts":[[1985,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In the retrieval of stored time\u2010series data, as means for improving the retrieval efficiency and for the pre\u2010processing of classification, it is effective to utilize the time\u2010domain characteristics of the time\u2010series data as the key in the retrieval. This paper presents a method which describes the feature of elec\u2010troencephalographic time\u2010series in a simple linguistic form and to perform data management based on that description. First, the ARMA model is applied to the general non\u2010stationary time\u2010series which is partitioned into small intervals based on the spectrum estimation error. At the same time, for the cases where a sporadic (transient) waveform is included, the transient wave is detected effectively by adaptively modifying the input to the model. Then identifying the class of the transient wave using recognition procedures such as smoothing, the features of EEG are determined for the background and the transient waves. A linguistic expression is derived by applying predetermined production rules to those features. The properties of the linguistic expression are discussed, together with the reproducibility of the original data time\u2010series and the compression of the original data. This indicates that the proposed method is a simple and effective means of representing EEG. Finally, a method is described for retrieval of time\u2010series data based on linguistic expression, which can cope with the ambiguity of expressions.<\/jats:p>","DOI":"10.1002\/scj.4690160307","type":"journal-article","created":{"date-parts":[[2007,7,7]],"date-time":"2007-07-07T09:48:00Z","timestamp":1183801680000},"page":"56-65","source":"Crossref","is-referenced-by-count":0,"title":["Management of time\u2010series data by feature description based upon generative grammar, fitting ARMA model to EEG signals"],"prefix":"10.1002","volume":"16","author":[{"given":"Shozo","family":"Tokinaga","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2007,9,5]]},"reference":[{"issue":"9","key":"e_1_2_1_2_2","article-title":"Automated cardic Dysrhythmia analysis","volume":"67","author":"Thomas L.","year":"1979","journal-title":"Proc. I.E.E.E."},{"key":"e_1_2_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/PROC.1977.10543"},{"issue":"2","key":"e_1_2_1_4_2","first-page":"93","article-title":"Classification of the time\u2010series by distance measure","volume":"65","author":"Ishii","year":"1981","journal-title":"Trans. (D), I.E.C.E., Japan"},{"issue":"5","key":"e_1_2_1_5_2","first-page":"379","article-title":"Hasegawa and Harada. Automatic classification of EEG patterns using logic window in the time domain","volume":"14","author":"Ueno T.","year":"1976","journal-title":"Med. Elect. Biol. Eng."},{"key":"e_1_2_1_6_2","first-page":"101","volume-title":"Hierarchical relaxation for waveform parsing, Computer vision system","author":"Davis L. S.","year":"1978"},{"issue":"7","key":"e_1_2_1_7_2","first-page":"765","article-title":"A linguistic management system for biological signal waves","volume":"66","author":"Yokota","year":"1983","journal-title":"Trans. (D), I.E.C.E., Japan"},{"key":"e_1_2_1_8_2","first-page":"369","article-title":"Rule based learning for more accurate EEG analysis","volume":"4","author":"Birma K.P.","year":"1982","journal-title":"I.E.E.E. Trans."},{"issue":"2","key":"e_1_2_1_9_2","first-page":"240","article-title":"System identification technique for adaptive signal processing","volume":"30","author":"Friedlander B.","year":"1982","journal-title":"I.E.E.E. Trans."},{"issue":"10","key":"e_1_2_1_10_2","first-page":"607","article-title":"Spike detection by prediction filter","volume":"56","author":"Kikkawa","year":"1963","journal-title":"Trans. (A) I.E.C.E., Japan"},{"key":"e_1_2_1_11_2","article-title":"Development of relational database management system for time\u2010series data","volume":"82","author":"Tokinaga","year":"1982","journal-title":"Tech. Rep. I.E.C.E., Japan"},{"key":"e_1_2_1_12_2","volume-title":"Acquisition and interpretation of EEG","author":"Kudo","year":"1978"},{"issue":"2","key":"e_1_2_1_13_2","first-page":"116","article-title":"Picture description by picture generative grammar and its application to picture retrievals","volume":"23","author":"Uchinami","year":"1957","journal-title":"Inf. Trans. Inf. Proc"}],"container-title":["Systems and Computers in Japan"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fscj.4690160307","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/scj.4690160307","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T18:22:01Z","timestamp":1697826121000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/scj.4690160307"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1985,1]]},"references-count":12,"journal-issue":{"issue":"3","published-print":{"date-parts":[[1985,1]]}},"alternative-id":["10.1002\/scj.4690160307"],"URL":"https:\/\/doi.org\/10.1002\/scj.4690160307","archive":["Portico"],"relation":{},"ISSN":["0882-1666","1520-684X"],"issn-type":[{"value":"0882-1666","type":"print"},{"value":"1520-684X","type":"electronic"}],"subject":[],"published":{"date-parts":[[1985,1]]}}}