Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Rachele Anderson"'
Autor:
Rachele Anderson, Maria Sandsten
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2020, Iss 1, Pp 1-18 (2020)
Abstract This paper investigates the extraction of time-frequency (TF) features for classification of electroencephalography (EEG) signals and episodic memory. We propose a model based on the definition of locally stationary processes (LSPs), estimat
Externí odkaz:
https://doaj.org/article/f26bdb30817c45a1a6210e32745ce54e
Autor:
Maria Sandsten, Rachele Anderson, Isabella Reinhold, Bo Bernhardsson, Carolina Bergeling, Mikael Johansson
Publikováno v:
2021 29th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::567dcef726713cd1dc92ce6580b9002a
https://doi.org/10.23919/eusipco54536.2021.9616199
https://doi.org/10.23919/eusipco54536.2021.9616199
Publikováno v:
2021 29th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2edd77a99ad5f66d0b47949195348ce
https://doi.org/10.23919/eusipco54536.2021.9616278
https://doi.org/10.23919/eusipco54536.2021.9616278
Autor:
Rachele Anderson, Maria Sandsten
Publikováno v:
Journal of Computational and Applied Mathematics. 347:24-35
Locally Stationary Processes (LSPs) in Silverman’s sense, defined by the modulation in time of a stationary covariance function, are valuable in stochastic modelling of time-varying signals. However, for practical applications, methods to conduct r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44c9418c1aa89c0c6125c3bc286edaa2
https://doi.org/10.1016/j.cam.2018.07.046
https://doi.org/10.1016/j.cam.2018.07.046
Publikováno v:
ICASSP
In this paper, the matched reassigned spectrogram is expanded into a novel matched phase reassignment (MPR) method based on the reassigned cross-spectrogram. It is shown that for two phase synchronized oscillating transient signals, the method gives
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01b54411fd66cb2788db426b78e7dbfb
https://doi.org/10.1109/icassp40776.2020.9053684
https://doi.org/10.1109/icassp40776.2020.9053684
Autor:
Rachele Anderson, Maria Sandsten
Publikováno v:
ICASSP
The traditional parametric approach to Granger causality (GC), based on linear vector autoregressive modeling, suffers from difficulties related to the inaccurate modeling of the generative process. These limits can be solved by using nonparametric s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e60db5a9ef30150bcf56958f6682503f
https://doi.org/10.1109/icassp40776.2020.9054388
https://doi.org/10.1109/icassp40776.2020.9054388
Publikováno v:
ICASSP
The reassignment vectors of the matched reassigned spectrogram (MRS) have shown to be sensitive to noise, with resulting degraded precision in the time-frequency localization. In this paper we propose a multitaper reassignment (mtRS) method for estim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3791e6237f373ca38b57befdf6528d8b
https://doi.org/10.1109/icassp40776.2020.9053616
https://doi.org/10.1109/icassp40776.2020.9053616
Publikováno v:
Applied Sciences
Volume 9
Issue 23
Volume 9
Issue 23
In this paper, we propose a novel framework for the analysis of task-related heart rate variability (HRV). Respiration and HRV are measured from 92 test participants while performing a chirp-breathing task consisting of breathing at a slowly increasi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a93ffc60a7524c2892f31061d2a2f6f7
http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-22301
http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-22301
Publikováno v:
EMBC
In this paper, we present new insights on classical spectral measures for heart rate variability (HRV), based on a novel method for HRV acquisition. A dynamic breathing task, where the test participants are asked to breathe following a metronome with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6ae424b915a91560eebad32bdfec003
https://pubmed.ncbi.nlm.nih.gov/30440446
https://pubmed.ncbi.nlm.nih.gov/30440446
Autor:
Rachele Anderson, Maria Sandsten
Publikováno v:
EUSIPCO
This paper illustrates the improvement in accuracy of classification for electroencephalogram (EEG) signals measured during a memory encoding task, by using features based on a mean square error (MSE) optimal time-frequency estimator. The EEG signals
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4689d20ae0990d06f5f26eba613e2b9b
https://doi.org/10.23919/eusipco.2018.8553130
https://doi.org/10.23919/eusipco.2018.8553130