Title :
Development of recognizing mental status system using vital sign
Author :
Kitamura, Kousuke ; Aikawa, Naoyuki ; Usui, Hideyuki
Author_Institution :
Graduate Sch. of Eng., Nihon Univ., Tokyo, Japan
Abstract :
The communication training is very important in the field of the medical treatment and the education. Our purpose is to develop the communications system using the easy vital sign of electroencephalogram (EEC) wave, electrocardiographic (ECG) wave and the bloodstream, etc. In this paper, fuzzy learning vector quantization (FLVQ) is used for the means of communication.
Keywords :
biomedical education; blood; electrocardiography; electroencephalography; emotion recognition; fuzzy set theory; learning (artificial intelligence); neurophysiology; patient treatment; bloodstream; communication training; electrocardiographic wave; electroencephalogram wave; fuzzy learning vector quantization; medical education; medical treatment; mental status recognition; mental status system; Acoustic noise; Biomedical engineering; Clustering algorithms; Electrocardiography; Electroencephalography; Fuzzy sets; Medical treatment; Quantization; Speech recognition; Testing;
Conference_Titel :
Biomedical Engineering, 2003. IEEE EMBS Asian-Pacific Conference on
Print_ISBN :
0-7803-7943-8
DOI :
10.1109/APBME.2003.1302597
