Effect of parametric variation of center frequency and bandwidth of morlet wavelet transform on time-frequency analysis of event-related potentials

Zhang, Guanghui; Tian, Lili; Chen, Huaming; Li, Peng; Ristaniemi, Tapani; Wang, Huili; Li, Hong; Chen, Hongjun; Cong, Fengyu

doi:10.1007/978-981-10-6496-8_63

dc.contributor.author	Zhang, Guanghui
dc.contributor.author	Tian, Lili
dc.contributor.author	Chen, Huaming
dc.contributor.author	Li, Peng
dc.contributor.author	Ristaniemi, Tapani
dc.contributor.author	Wang, Huili
dc.contributor.author	Li, Hong
dc.contributor.author	Chen, Hongjun
dc.contributor.author	Cong, Fengyu
dc.contributor.editor	Jia, Yingmin
dc.contributor.editor	Du, Junping
dc.contributor.editor	Zhang, Weicun
dc.date.accessioned	2021-08-25T08:16:25Z
dc.date.available	2021-08-25T08:16:25Z
dc.date.issued	2017
dc.identifier.citation	Zhang, G., Tian, L., Chen, H., Li, P., Ristaniemi, T., Wang, H., Li, H., Chen, H., & Cong, F. (2017). Effect of parametric variation of center frequency and bandwidth of morlet wavelet transform on time-frequency analysis of event-related potentials. In Y. Jia, J. Du, & W. Zhang (Eds.), <i>CISC 2017 : Proceedings of 2017 Chinese Intelligent Systems Conference</i> (pp. 693-702). Springer Nature Singapore Pte Ltd.. Lecture Notes in Electrical Engineering, 459. <a href="https://doi.org/10.1007/978-981-10-6496-8_63" target="_blank">https://doi.org/10.1007/978-981-10-6496-8_63</a>
dc.identifier.other	CONVID_27240439
dc.identifier.other	TUTKAID_75098
dc.identifier.uri	https://jyx.jyu.fi/handle/123456789/77481
dc.format.mimetype	application/pdf
dc.language.iso	eng
dc.publisher	Springer Nature Singapore Pte Ltd.
dc.relation.ispartof	CISC 2017 : Proceedings of 2017 Chinese Intelligent Systems Conference
dc.relation.ispartofseries	Lecture Notes in Electrical Engineering
dc.rights	In Copyright
dc.subject.other	complex morlet wavelet transform
dc.subject.other	event-related potentials
dc.subject.other	center frequency
dc.subject.other	bandwidth
dc.subject.other	time-frequency representation
dc.title	Effect of parametric variation of center frequency and bandwidth of morlet wavelet transform on time-frequency analysis of event-related potentials
dc.type	conferenceObject
dc.identifier.urn	URN:NBN:fi:jyu-202108254645
dc.contributor.laitos	Informaatioteknologian tiedekunta	fi
dc.contributor.laitos	Faculty of Information Technology	en
dc.contributor.oppiaine	Tietotekniikka	fi
dc.contributor.oppiaine	Mathematical Information Technology	en
dc.type.uri	http://purl.org/eprint/type/ConferencePaper
dc.relation.isbn	978-981-10-6495-1
dc.type.coar	http://purl.org/coar/resource_type/c_5794
dc.description.reviewstatus	peerReviewed
dc.format.pagerange	693-702
dc.relation.issn	1876-1100
dc.type.version	acceptedVersion
dc.rights.copyright	© Springer Nature Singapore Pte Ltd. 2018
dc.rights.accesslevel	openAccess	fi
dc.relation.conference	Chinese Intelligent Systems Conference
dc.format.content	fulltext
dc.rights.url	http://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi	10.1007/978-981-10-6496-8_63
dc.type.okm	A4

Aineistoon kuuluvat tiedostot

Nimi:: effect_of_parametric_variation.pdf
Koko:: 2.772Mb
Tiedostomuoto:: PDF
Kuvaus:: Final Draft

Katso/Avaa

Aineisto kuuluu seuraaviin kokoelmiin

Informaatioteknologian tiedekunta [2124]

Näytä suppeat kuvailutiedot

Ellei muuten mainita, aineiston lisenssi on In Copyright

Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.

Analyzing multidimensional movement interaction with generalized cross-wavelet transform

Toiviainen, Petri; Hartmann, Martín (Elsevier, 2022)

Humans are able to synchronize with musical events whilst coordinating their movements with others. Interpersonal entrainment phenomena, such as dance, involve multiple body parts and movement directions. Along with being ...
Automated detection and localization system of myocardial infarction in single-beat ECG using Dual-Q TQWT and wavelet packet tensor decomposition

Liu, Jia; Zhang, Chi; Zhu, Yongjie; Ristaniemi, Tapani; Parviainen, Tiina; Cong, Fengyu (Elsevier B.V., 2020)

Background and objective. It is challenging to conduct real-time identification of myocardial infarction (MI) due to artifact corruption and high dimensionality of multi-lead electrocardiogram ...
Exploring Oscillatory Dysconnectivity Networks in Major Depression during Resting State Using Coupled Tensor Decomposition

Liu, Wenya; Wang, Xiulin; Hämäläinen, Timo; Cong, Fengyu (Institute of Electrical and Electronics Engineers (IEEE), 2022)

Dysconnectivity of large-scale brain networks has been linked to major depression disorder (MDD) during resting state. Recent researches show that the temporal evolution of brain networks regulated by oscillations reveals ...
Postural and Gestural Synchronization, Sequential Imitation, and Mirroring Predict Perceived Coupling of Dancing Dyads

Hartmann, Martin; Carlson, Emily; Mavrolampados, Anastasios; Burger, Birgitta; Toiviainen, Petri (Wiley-Blackwell, 2023)

Body movement is a primary nonverbal communication channel in humans. Coordinated social behaviors, such as dancing together, encourage multifarious rhythmic and interpersonally coupled movements from which observers can ...
Multi-domain Features of the Non-phase-locked Component of Interest Extracted from ERP Data by Tensor Decomposition

Zhang, Guanghui; Zhang, Chi; Cao, Shuo; Xia, Xue; Tan, Xin; Si, Lichengxi; Wang, Chenxin; Wang, Xiaochun; Zhou, Chenglin; Ristaniemi, Tapani; Cong, Fengyu (Springer, 2020)

The waveform in the time domain, spectrum in the frequency domain, and topography in the space domain of component(s) of interest are the fundamental indices in neuroscience research. Despite the application of time–frequency ...

Effect of parametric variation of center frequency and bandwidth of morlet wavelet transform on time-frequency analysis of event-related potentials

Aineistoon kuuluvat tiedostot

Aineisto kuuluu seuraaviin kokoelmiin

Samankaltainen aineisto

Analyzing multidimensional movement interaction with generalized cross-wavelet transform ﻿

Automated detection and localization system of myocardial infarction in single-beat ECG using Dual-Q TQWT and wavelet packet tensor decomposition ﻿

Exploring Oscillatory Dysconnectivity Networks in Major Depression during Resting State Using Coupled Tensor Decomposition ﻿

Postural and Gestural Synchronization, Sequential Imitation, and Mirroring Predict Perceived Coupling of Dancing Dyads ﻿

Multi-domain Features of the Non-phase-locked Component of Interest Extracted from ERP Data by Tensor Decomposition ﻿

Analyzing multidimensional movement interaction with generalized cross-wavelet transform

Automated detection and localization system of myocardial infarction in single-beat ECG using Dual-Q TQWT and wavelet packet tensor decomposition

Exploring Oscillatory Dysconnectivity Networks in Major Depression during Resting State Using Coupled Tensor Decomposition

Postural and Gestural Synchronization, Sequential Imitation, and Mirroring Predict Perceived Coupling of Dancing Dyads

Multi-domain Features of the Non-phase-locked Component of Interest Extracted from ERP Data by Tensor Decomposition