{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:36:41Z","timestamp":1777703801060,"version":"3.51.4"},"reference-count":14,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2019,11,8]],"date-time":"2019-11-08T00:00:00Z","timestamp":1573171200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2019,12,23]]},"abstract":"<jats:p>This paper proposes a biosignal distortion detection algorithm for a driver healthcare system based on a contact biosensor and a linked adaptive neuro-fuzzy inference system (ANFIS), and demonstrate its superiority using actual vehicle experiments. Contact biosensors are highly sensitive to vehicle vibration and turning. Although vehicle suspension contributes significantly to ride quality, vibration transfers to the driver and contact between the driver and biosensor can become unstable when executing a turn, causing the driver\u2019s biosignal to not be measured well. This study estimated the driver\u2019s biosignal state using acceleration, angular velocity, and slip ratio measurements obtained from sensor fusion. When the measurement exceeded a defined threshold, the driver healthcare system removed unreliable biosignal data. We adopted ANFIS to improve the proposed sensor fusion algorithm estimate accuracy for the driver\u2019s biosignal state and improved the healthcare system robustness to road conditions. The effectiveness of the proposed algorithm was demonstrated experimentally by comparing the system using sensor fusion and linked ANFIS.<\/jats:p>","DOI":"10.3233\/jifs-182532","type":"journal-article","created":{"date-parts":[[2019,11,8]],"date-time":"2019-11-08T13:32:58Z","timestamp":1573219978000},"page":"7725-7735","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Linked adaptive neuro-fuzzy inference system for biosignal distortion detection system"],"prefix":"10.1177","volume":"37","author":[{"given":"Jun Yong","family":"Park","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Korea University, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong W.","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Digital Electronics, Inha Technical College, Nam-Gu, Incheon, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tae-Koo","family":"Kang","sequence":"additional","affiliation":[{"name":"Department of Human Intelligence and Robot Engineering, Sang Myung University, Chungnam, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Myo Taeg","family":"Lim","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Korea University, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,11,8]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2007.909996"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.1985.325532"},{"key":"e_1_3_2_4_2","first-page":"428","article-title":"Frequency, Bands Effects on QRS Detection","author":"Elgendi M.","year":"2010","unstructured":"ElgendiM., JonkmanM. and DeBoerF., Frequency, Bands Effects on QRS Detection, Proceedings Springer-Verlag, Biomedical Engineering Systems and Technologies, Spain (2010), 428\u2013431.","journal-title":"Proceedings Springer-Verlag, Biomedical Engineering Systems and Technologies, Spain"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/21.256541"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2005.04.013"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2010.2053334"},{"key":"e_1_3_2_8_2","article-title":"American University of Sharjah","author":"Saadeddin K.","year":"2013","unstructured":"SaadeddinK., American University of Sharjah, Estimating vehicle state by GPS\/IMU fusion with vehicle dynamics, Master\u2019s thesis of Science in Mechatronics Engineering, 2013.","journal-title":"Estimating vehicle state by GPS\/IMU fusion with vehicle dynamics, Master\u2019s thesis of Science in Mechatronics Engineering"},{"issue":"1","key":"e_1_3_2_9_2","first-page":"247","article-title":"Gyroscopic Stabilization of Unstable Vehicles: Configurations","volume":"46","author":"Spry S.C.","year":"2008","unstructured":"SpryS.C. and GirardA.R., Gyroscopic Stabilization of Unstable Vehicles: Configurations, Dynamics, and Control, International Journal of Vehicle Mechanics and Mobility 46(1) (2008), 247\u2013260.","journal-title":"Dynamics, and Control, International Journal of Vehicle Mechanics and Mobility"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10846-013-9960-1"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1177\/0954406214543096"},{"key":"e_1_3_2_12_2","unstructured":"BalakishanK. and RoshiahM. 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