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Classification of human emotion from EEG using discrete wavelet transform

Journal of Biomedical Science and Engineering 2010年第4期3卷 390-396页

作者： Murugappan Murugappan nagarajan ramachandran Yaacob Sazali 不详

In this paper, we summarize the human emotion recognition using different set of electroencephalogram (EEG) channels using discrete wavelet transform. An audio-visual induction based protocol has been designed with more dynamic emotional content for inducing discrete emotions (disgust, happy, surprise, fear and neutral). EEG signals are collected using 64 electrodes from 20 subjects and are placed over the entire scalp using International 10-10 system. The raw EEG signals are preprocessed using Surface Laplacian (SL) filtering method and decomposed into three different frequency bands (alpha, beta and gamma) using Discrete Wavelet Transform (DWT). We have used “db4” wavelet function for deriving a set of conventional and modified energy based features from the EEG signals for classifying emotions. Two simple pattern classification methods, K Nearest Neighbor (KNN) and Linear Discriminant Analysis (LDA) methods are used and their performances are compared for emotional states classification. The experimental results indicate that, one of the proposed features (ALREE) gives the maximum average classification rate of 83.26% using KNN and 75.21% using LDA compared to those of conventional features. Finally, we present the average classification rate and subsets of emotions classification rate of these two different classifiers for justifying the performance of our emotion recognition system.

关键词： EEG Human Emotions Discrete Wavelet Transform KNN LDA

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Mosquito larvicidal properties of volatile oil from salt marsh mangrove plant of Sesuvium portulacastrum against Anopheles stephensi and Aedes aegypti

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Journal of Coastal Life Medicine 2013年第1期1卷 66-71页

作者： Mohamed Yacoob Syed Ali Venkatraman Anuradha SyedAbudhair Sirajudeen Prathasarathy Vijaya nagarajan Yogananth ramachandran Rajan Peer Mohamed Kalitha Parveen PG&Research Department of Biotechnology Mohamed Sathak College of Arts&ScienceSholinganallurChennai-600119Tamil NaduIndia Center for Marine Fisheries Research Institute Mandapam CampTamil NaduIndia

Objective:To identify the larvicidal activity of the volatile oil from Sesuvium portulacastrum(***)against Anopheles stephensi and Aedes ***:Volatile oil extract of *** was prepared in a graded series of *** test for the larvicidal effect of volatile oil against mosquitos larvae was conducted in accordance with the WHO standard *** of 25 early 4th instar larvae of two mosquitoes were transferred to 250 mL enamel bowl containing 199 mL of distilled water and 1 mL of plant *** experiment was conducted with triplicate with concurrent a control ***:Volatile oil extract of *** showed toxicity against 4th instar larvae of Aedes aegypti and Anopheles stephensi with equivalent LC50 value[(63±7.8)μL/mL,LCL-UCL=55.2-64.0]and LC90 value[(94.2±3.9)μL/mL]in maximum activity with minimum concentration(200μL/mL)of volatile oil and followed by maximum activity of 250μL concentration showed LC50 value=(68.0±8.2)μL/mL,LCL-UCL=66.26-69.2 and LC50 value of(55.2±2.8)μL/mL,LCL-UCL=53.7-56.9,LC90=(95.2±1.25)μL/mL and followed by 250μL of oil extract against 4th instar larvae of Aedes aegypti ***:It is inferred from the present study that,the extracts from salt marsh mangrove plan of *** are identified as a potential source of safe and efficacious mosquito control agents for the management of vector borne diseases of malaria and dengue.

关键词： Aedes aegypti Anopheles stephensi Larvicidal Oleic acid Sesuvium portulacastrum

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