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Identification of Chinese Herbal Medicines from Zingiberaceae Family Using Feature Extraction and Cascade Classifier Based on Response Signals from E-Nose
Joint Authors
Zou, Hui-Qin
Liu, Yong
Bauer, Rudolf
Peng, Lian
Tao, Ou
Yan, Su-Rong
Yan, Yong-Hong
Han, Yu
Li, Jia-Hui
Ren, Zhi-Yu
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-18
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Identification of Chinese herbal medicines (CHMs) by human experience is often inaccurate because individual ability and external factors may influence the outcome.
However, it might be promising to employ an electronic nose (E-nose) to identify them.
This paper presents a rapid and reliable method for identification of ten different species of CHMs from Zingiberaceae family based on their response signals from E-nose.
Ten Zingiberaceae CHMs were measured and their maximum response values were analyzed by principal component analysis (PCA).
Result shows that E Zhu (Curcuma phaeocaulis Val.) and Yi Zhi (Alpinia oxyphylla Miq.) could not be distinguished completely by PCA.
Two solutions were proposed: (i) using BestFirst+CfsSubsetEval (BC) method to extract more discriminative features to select sensors with higher contribution rate and remove the redundant signals; (ii) employing a novel cascade classifier with two stages to enhance the distinguishing-positive rate (DPR).
Based on these strategies, six features were extracted and used in different stages of the cascade classifier with higher DPRs.
American Psychological Association (APA)
Peng, Lian& Zou, Hui-Qin& Bauer, Rudolf& Liu, Yong& Tao, Ou& Yan, Su-Rong…[et al.]. 2014. Identification of Chinese Herbal Medicines from Zingiberaceae Family Using Feature Extraction and Cascade Classifier Based on Response Signals from E-Nose. Evidence-Based Complementary and Alternative Medicine،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1035497
Modern Language Association (MLA)
Peng, Lian…[et al.]. Identification of Chinese Herbal Medicines from Zingiberaceae Family Using Feature Extraction and Cascade Classifier Based on Response Signals from E-Nose. Evidence-Based Complementary and Alternative Medicine No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1035497
American Medical Association (AMA)
Peng, Lian& Zou, Hui-Qin& Bauer, Rudolf& Liu, Yong& Tao, Ou& Yan, Su-Rong…[et al.]. Identification of Chinese Herbal Medicines from Zingiberaceae Family Using Feature Extraction and Cascade Classifier Based on Response Signals from E-Nose. Evidence-Based Complementary and Alternative Medicine. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1035497
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1035497