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김재준

Kim, Jae Joon
Circuits & Systems Design Lab.
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dc.citation.conferencePlace KO -
dc.citation.title 제18회 RF/아날로그 회로 워크샵 -
dc.contributor.author Jang, Jonggyu -
dc.contributor.author Lee, Kwangmuk -
dc.contributor.author Chae, Heeyoung -
dc.contributor.author Kim, Jae Joon -
dc.date.accessioned 2024-02-01T01:36:20Z -
dc.date.available 2024-02-01T01:36:20Z -
dc.date.created 2019-01-02 -
dc.date.issued 2018-09-13 -
dc.description.abstract This paper presents electromyogram(EMG) sensing interface with wavelet process. Wavelet process is effective to analyze EMG signal because it provides signal information in frequency domain. The power of EMG signal is concentrated in 50~150Hz range. By using wavelet transform filters, the EMG signal is decomposed in several ranges of frequency. In this process, immunity to motion artifacts is enhanced and analyzing an EMG with various frequency ranges gives more information about specific movement. the amount of data is decreased because down sampling is used in wavelet transform process. Thus, it improves communication efficiency. The proposed interface is designed in 0.18μm CMOS process. -
dc.identifier.bibliographicCitation 제18회 RF/아날로그 회로 워크샵 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/80929 -
dc.language 영어 -
dc.publisher IEIE(대한전자공학회) RF집적회로기술연구회 -
dc.title Sensor Interface for Electromyogram with Wavelet Filter -
dc.type Conference Paper -
dc.date.conferenceDate 2018-09-13 -

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