標題: Respiratory Feature Extraction in Emotion of Internet Addiction Abusers Using Complementary Ensemble Empirical Mode Decomposition
作者: Hsieh, Dai-Ling
Ji, Hong-Ming
Hsiao, Tzu-Chien
Yip, Bak-Sau
分子醫學與生物工程研究所
資訊工程學系
友訊交大聯合研發中心
生醫電子轉譯研究中心
Institute of Molecular Medicine and Bioengineering
Department of Computer Science
D Link NCTU Joint Res Ctr
Biomedical Electronics Translational Research Center
關鍵字: Respiration;Feature extraction;Emotion;Internet Addiction (IA);Autonomic Nervous Responses;Complementary Ensemble Empirical Mode Decomposition (CEEMD)
公開日期: 1-Apr-2015
摘要: Background: Internet addiction can be generally conceptualized as excessive computer and Internet use which results in negative consequences in physical or mental functions. In recent years, Internet addiction is a growing problem around the world, and should be studied through scientific methods. Some studies indicated that Internet addiction was correlated to physical responses including heart rate, respiration, and psychological reactions including emotion, social interaction. This study assumed that emotion was one of significant roles in Internet addiction, and emotion can be observed by subjective self-report and objective autonomic nervous responses. Respiration can be a type of biofeedback to regulate respiratory rate and amplitude which affects autonomic nervous responses. The respiratory features in emotion states of Internet addiction abusers were investigated by Complementary Ensemble Empirical Mode Decomposition. Results: The results showed that the respiratory features of Internet addiction abusers differed from normal Internet users among different emotions. Such results could be expected to monitor or assist to treat Internet addiction.
URI: http://dx.doi.org/10.1166/jmihi.2015.1405
http://hdl.handle.net/11536/124465
ISSN: 2156-7018
DOI: 10.1166/jmihi.2015.1405
期刊: JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS
起始頁: 391
結束頁: 399
Appears in Collections:Articles