TY - JOUR
T1 - An intelligent and effective mechanism for mental disorder treatment by using biofeedback analysis and web technologies
AU - Shie, Bai En
AU - Jang, Fong Lin
AU - Tseng, S.
PY - 2011/2/1
Y1 - 2011/2/1
N2 - In the medical science field, the treatment of mental disorders has been an important issue. Recently, the treatment of mental disorders through biofeedback therapy is emerging as an important topic. A number of studies on the integration of mental healthcare and the Internet have also been proposed, since the Internet plays a more and more crucial role in various healthcare applications. By performing biofeedback therapy via the Internet, the treatment time can be highly reduced and the medical costs can also be significantly cut down. In view of this, this research aims at developing an intelligent treatment system for the patients with mental disorders by integrating biofeedback therapy and web technology. The system provides not only a convenient mechanism for the patients to perform biofeedback therapy at home but also an effective communication channel for patients and medical professionals. Moreover, the functions which enable the therapists to manage their patients more conveniently are proposed. The results of this research are expected to bring a pivotal impact on the healthcare industry with increased and enhanced levels of technology and services.
AB - In the medical science field, the treatment of mental disorders has been an important issue. Recently, the treatment of mental disorders through biofeedback therapy is emerging as an important topic. A number of studies on the integration of mental healthcare and the Internet have also been proposed, since the Internet plays a more and more crucial role in various healthcare applications. By performing biofeedback therapy via the Internet, the treatment time can be highly reduced and the medical costs can also be significantly cut down. In view of this, this research aims at developing an intelligent treatment system for the patients with mental disorders by integrating biofeedback therapy and web technology. The system provides not only a convenient mechanism for the patients to perform biofeedback therapy at home but also an effective communication channel for patients and medical professionals. Moreover, the functions which enable the therapists to manage their patients more conveniently are proposed. The results of this research are expected to bring a pivotal impact on the healthcare industry with increased and enhanced levels of technology and services.
KW - Biofeedback analysis
KW - data mining
KW - intelligent healthcare
KW - mental disorder treatment
KW - online mental therapy
UR - http://www.scopus.com/inward/record.url?scp=79960059425&partnerID=8YFLogxK
U2 - 10.1142/S0218194011005190
DO - 10.1142/S0218194011005190
M3 - Article
AN - SCOPUS:79960059425
VL - 21
SP - 55
EP - 72
JO - International Journal of Software Engineering and Knowledge Engineering
JF - International Journal of Software Engineering and Knowledge Engineering
SN - 0218-1940
IS - 1
ER -