Design and development of human-machine interface on a digital EEG system

碩士 === 國立臺灣大學 === 電機工程學研究所 === 87 === A computer-based 16-channel digital electroencephalogram (EEG) machine system has been designed and developed. The system includes preamplifiers, filters, software-controlled gain amplifiers, digitizing and control circuitry, and optical coupling to a PC. In sof...

Full description

Bibliographic Details
Main Authors: Bor-Shing Lin, 林伯星
Other Authors: Gwo-Jen Jan
Format: Others
Language:zh-TW
Published: 1999
Online Access:http://ndltd.ncl.edu.tw/handle/41435497314894875450
id ndltd-TW-087NTU00442116
record_format oai_dc
spelling ndltd-TW-087NTU004421162016-02-01T04:12:41Z http://ndltd.ncl.edu.tw/handle/41435497314894875450 Design and development of human-machine interface on a digital EEG system 數位腦波機系統之人機介面設計與研發 Bor-Shing Lin 林伯星 碩士 國立臺灣大學 電機工程學研究所 87 A computer-based 16-channel digital electroencephalogram (EEG) machine system has been designed and developed. The system includes preamplifiers, filters, software-controlled gain amplifiers, digitizing and control circuitry, and optical coupling to a PC. In software part, we use Borland C++ Builder to design and develop a graphic user interface (GUI) under Windows 95/NT operational system. Digital EEG techniques have grown rapidly in popularity for recording, reviewing, and storing EEG. Digital EEG recordings are flexible in the way they display the EEG tracings, unlike analog paper EEG. Montage, filter, and gain settings can be changed retrospectively during record review. The digital signal allows for measurement and computations on the EEG, leading to applications such as power spectrum, topographic mapping, and spike or seizure detection. We finish a small, flexible and low-cost data-acquisition EEG system whose performance substantially exceeds that of the large and expensive commercial systems. The system is friendly and easy to use. It provide useful tools for the study and analysis about EEG. Gwo-Jen Jan 詹國禎 1999 學位論文 ; thesis 91 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺灣大學 === 電機工程學研究所 === 87 === A computer-based 16-channel digital electroencephalogram (EEG) machine system has been designed and developed. The system includes preamplifiers, filters, software-controlled gain amplifiers, digitizing and control circuitry, and optical coupling to a PC. In software part, we use Borland C++ Builder to design and develop a graphic user interface (GUI) under Windows 95/NT operational system. Digital EEG techniques have grown rapidly in popularity for recording, reviewing, and storing EEG. Digital EEG recordings are flexible in the way they display the EEG tracings, unlike analog paper EEG. Montage, filter, and gain settings can be changed retrospectively during record review. The digital signal allows for measurement and computations on the EEG, leading to applications such as power spectrum, topographic mapping, and spike or seizure detection. We finish a small, flexible and low-cost data-acquisition EEG system whose performance substantially exceeds that of the large and expensive commercial systems. The system is friendly and easy to use. It provide useful tools for the study and analysis about EEG.
author2 Gwo-Jen Jan
author_facet Gwo-Jen Jan
Bor-Shing Lin
林伯星
author Bor-Shing Lin
林伯星
spellingShingle Bor-Shing Lin
林伯星
Design and development of human-machine interface on a digital EEG system
author_sort Bor-Shing Lin
title Design and development of human-machine interface on a digital EEG system
title_short Design and development of human-machine interface on a digital EEG system
title_full Design and development of human-machine interface on a digital EEG system
title_fullStr Design and development of human-machine interface on a digital EEG system
title_full_unstemmed Design and development of human-machine interface on a digital EEG system
title_sort design and development of human-machine interface on a digital eeg system
publishDate 1999
url http://ndltd.ncl.edu.tw/handle/41435497314894875450
work_keys_str_mv AT borshinglin designanddevelopmentofhumanmachineinterfaceonadigitaleegsystem
AT línbóxīng designanddevelopmentofhumanmachineinterfaceonadigitaleegsystem
AT borshinglin shùwèinǎobōjīxìtǒngzhīrénjījièmiànshèjìyǔyánfā
AT línbóxīng shùwèinǎobōjīxìtǒngzhīrénjījièmiànshèjìyǔyánfā
_version_ 1718174521706414080