{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T23:35:38Z","timestamp":1778974538369,"version":"3.51.4"},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Unc. Fuzz. Knowl. Based Syst."],"published-print":{"date-parts":[[1998,4]]},"abstract":"<jats:p> The analysis of electrocardiograms (ECGs) helps physicians make their cardiac diagnosis. Therefore a large store of medical knowledge and practical experience is required. In this paper we report on our investigations of a rule-based fuzzy logic system that processes ECG data using the knowledge of a medical expert. The aim is to give support to the physician for his diagnosis. In this first consideration we discuss single modules of the rule-based system proposed and moreover we present the used input and output variables of the rulebases. The performance of the implemented rule-based fuzzy logic system is tested using ECGs with abnormalities in the P and T wave as well as in the QRS complex. The system's output corresponds to the analysis of these ECGs by a medical expert. <\/jats:p>","DOI":"10.1142\/s0218488598000185","type":"journal-article","created":{"date-parts":[[2003,9,3]],"date-time":"2003-09-03T10:06:58Z","timestamp":1062583618000},"page":"201-210","source":"Crossref","is-referenced-by-count":5,"title":["ECG Diagnostics by Fuzzy Decision Making"],"prefix":"10.1142","volume":"06","author":[{"given":"Adolf","family":"Grauel","sequence":"first","affiliation":[{"name":"Universit\u00e4t-GH Paderborn,  Abteilung Soest, FB 16, FG Mathematische Methoden und Systemtheorie,  Steingraben 21, D-59494 Soest, Germany"}]},{"given":"Lars A.","family":"Ludwig","sequence":"additional","affiliation":[{"name":"Universit\u00e4t-GH Paderborn,  Abteilung Soest, FB 16, FG Mathematische Methoden und Systemtheorie,  Steingraben 21, D-59494 Soest, Germany"}]},{"given":"Georg","family":"Klene","sequence":"additional","affiliation":[{"name":"Universit\u00e4t-GH Paderborn,  Abteilung Soest, FB 16, FG Mathematische Methoden und Systemtheorie,  Steingraben 21, D-59494 Soest, Germany"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218488598000185","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T03:04:23Z","timestamp":1565147063000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218488598000185"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1998,4]]},"references-count":0,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1998,4]]}},"alternative-id":["10.1142\/S0218488598000185"],"URL":"https:\/\/doi.org\/10.1142\/s0218488598000185","relation":{},"ISSN":["0218-4885","1793-6411"],"issn-type":[{"value":"0218-4885","type":"print"},{"value":"1793-6411","type":"electronic"}],"subject":[],"published":{"date-parts":[[1998,4]]}}}