eprintid: 7110
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/71/10
datestamp: 2023-11-09 16:18:54
lastmod: 2023-11-09 16:18:54
status_changed: 2023-11-09 16:08:30
type: conference_item
metadata_visibility: show
creators_name: Caesarendra, W.
creators_name: Ariyanto, M.
creators_name: Lexon, S.U.
creators_name: Pasmanasari, E.D.
creators_name: Chang, C.R.
creators_name: Setiawan, J.D.
title: EEG based pattern recognition method for classification of different mental tasking: Preliminary study for stroke survivors in Indonesia
ispublished: pub
keywords: Classification (of information); Extraction; Feature extraction; Mechanics; MEMS; Neural networks; Pattern recognition; Time domain analysis, Eeg datum; EEG signals; Feature extraction methods; Indonesia; Pattern recognition method; Statistical features; Stroke survivors; Time domain, Biomedical signal processing
note: cited By 2; Conference of International Conference on Automation, Cognitive Science, Optics, Micro Electro-Mechanical System, and Information Technology, ICACOMIT 2015 ; Conference Date: 29 October 2015 Through 30 October 2015; Conference Code:121121
abstract: This paper presents a result of pattern recognition method for different mental tasking of 8 volunteers. The EEG data used in this paper were acquired from 8 Indonesian volunteer using Emotiv EEG device with 16 channels. 24 feature extraction methods including time-domain and statistical features are applied to the EEG signal. An artificial neural network (ANN) is employed for classification. This is the preliminary study in developing a pattern recognition method for body prosthetic and wheelchair to disability person. The paper aims to investigate the reliable EEG signal from 14 channels. The results show that among 14 EEG channels, channel F7 and F8 are better in classification than other channels. The test classification of channel F7 and F8 is 66.7. © 2015 IEEE.
date: 2016
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966667947&doi=10.1109%2fICACOMIT.2015.7440193&partnerID=40&md5=550e3979d14ad5d63f2d17bbf443c54c
id_number: 10.1109/ICACOMIT.2015.7440193
full_text_status: none
publication: Proceedings of the 2015 International Conference on Automation, Cognitive Science, Optics, Micro Electro-Mechanical System, and Information Technology, ICACOMIT 2015
pagerange: 138-144
refereed: TRUE
isbn: 9781467374088
citation:   Caesarendra, W. and Ariyanto, M. and Lexon, S.U. and Pasmanasari, E.D. and Chang, C.R. and Setiawan, J.D.  (2016) EEG based pattern recognition method for classification of different mental tasking: Preliminary study for stroke survivors in Indonesia.  In: UNSPECIFIED.