Independent component analysis (ICA) in analysing child high-density event-related potential (ERP) and current source density (CSD) data by Tanskanen, Annika

Subjects: “…independent component analysis (ICA)…”
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Newton update based independent vector analysis with various source density models by Sipilä, Mika

“…Tutkielmassa käytetyt IVA algoritmit sekä niiden suorituskykyyn liittyvät indeksit ovat julkaistu R-paketissa ivaBSS osana tutkielmaa Blind source separation methods (BSS) are used to estimate latent source signals from their mixed observations when the mixing environment is unknown. Independent component analysis (ICA) is a BSS method, which aims to recover the sources by maximizing the independence between the estimated sources. …”
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Exploring EEG recordings of Focused Attention Meditation with Fourier-ICA by Heinilä, Erkka

“…This study uses a variant of Independent Component Analysis (ICA) called Fourier-ICA to analyze EEG data from meditation sessions and shows that ICA can be used to do much more than just remove artifacts, which is the normal use case in EEG studies. …”
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Korkeaintensiteettisen intervalliharjoituksen akuutit vaikutukset aivojen lepoaktiivisuuteen 16-17-vuotiailla nuorilla : MEG-tutkimus by Kullberg, Tiina

“…Additionally, group level Fourier ICA (independent component analysis) was experimentally applied to examine spatial differences of peak frequency changes more in detail. …”
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Decoding four-finger proprioceptive and tactile stimuli from magnetoencephalography by Nyländen, Paavo

“…Preprocessing steps included noise reduction techniques such as oversampled temporal projection (OTP), temporal signal space separation (tSSS), and independent component analysis (ICA). Features for decoding were extracted from the temporal changes in MEG signals using a sliding time window analysis, and SVMs were employed for classification. …”
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