完整後設資料紀錄
DC 欄位語言
dc.contributor.authorJi, Hong-Mingen_US
dc.contributor.authorHsiao, Tzu-Chienen_US
dc.date.accessioned2019-04-02T05:58:22Z-
dc.date.available2019-04-02T05:58:22Z-
dc.date.issued2019-04-01en_US
dc.identifier.issn0148-5598en_US
dc.identifier.urihttp://dx.doi.org/10.1007/s10916-019-1221-9en_US
dc.identifier.urihttp://hdl.handle.net/11536/148961-
dc.description.abstractIndividuals with Internet gaming disorder (IGD) frequently play online games to achieve satisfaction. Numerous signal processing questions regarding the negative consequences and characteristic respiration in a long-term sitting posture remain unanswered. This study recruited 50 individuals with high-risk and low-risk IGD (HIGD and LIGD); these participants were taught to perform a specific respiration during game-film stimuli. The instantaneous frequencies on abdominal movement (f(DF)) were calculated with ensemble empirical mode decomposition (EEMD). The difference value (f(DF)) between rest and stimulus statuses was calculated and found that HIGD showed f(DF) values of 0.060 during positive stimuli and 0.055 during negative stimuli before the exercise but 0.020 and 0.016, respectively, after the exercise. However, the f(DF) value for those with LIGD during negative stimuli before the exercise was 0.013, and it increased to 0.025 after the exercise. This is the first approach to IGD discrimination toward abdominal response with EEMD.en_US
dc.language.isoen_USen_US
dc.subjectAbdominal muscleen_US
dc.subjectAbdominal respirationen_US
dc.subjectAbdominal wall movementen_US
dc.subjectInternet gaming disorderen_US
dc.subjectEnsemble empirical mode decompositionen_US
dc.titleA Novel Cue-Induced Abdominal Reaction Analysis for Internet Gaming Disorderen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s10916-019-1221-9en_US
dc.identifier.journalJOURNAL OF MEDICAL SYSTEMSen_US
dc.citation.volume43en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department資訊工程學系zh_TW
dc.contributor.department資訊科學與工程研究所zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.contributor.departmentInstitute of Computer Science and Engineeringen_US
dc.identifier.wosnumberWOS:000460459800001en_US
dc.citation.woscount0en_US
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