Results 1 to 10 of about 4,267,953 (306)

MRI-based differentiation of Parkinson's disease by cerebellar gray matter volume

SLAS Technology
Background: The underlying mechanism of Parkinson's disease (PD) is associated with the neurodegeneration of the dopaminergic neurons, and the cerebellum plays a significant role together in non-motor and motor functions in PD progression.
Dacong Zhao, Jiang Guo, Guanghua Lu, Rui Jiang, Chao Tian, Xu Liang   +5 more
doaj   +1 more source

Real-time independent vector analysis with Student's t source prior for convolutive speech mixtures

, 2015
International audienceA common approach to blind source separation is to use independent component analysis. However when dealing with realistic convolutive audio and speech mixtures, processing in the frequency domain at each frequency bin is required ...
Chambers, Jonathon, Harris, Jack, Jutten, Christian, Mohsen, Syed, Rivet, Bertrand   +4 more
core   +1 more source

Fusion of Multi-Task fMRI Data: Guided Solutions for IVA and Transposed IVA

Sensors
Independent vector analysis (IVA) has emerged as a powerful tool for fusing and analyzing functional magnetic resonance imaging (fMRI) data. Applying IVA to multi-task fMRI data enhances analytical power by capturing the relationships across different ...
Emin Erdem Kumbasar, Hanlu Yang, Vince D. Calhoun, Tülay Adalı   +3 more
doaj   +1 more source

Cancer Classification in Microarray Data using a Hybrid Selective Independent Component Analysis and ϑ-Support Vector Machine Algorithm

Journal of Medical Signals and Sensors, 2014
Microarray data have an important role in identification and classification of the cancer tissues. Having a few samples of microarrays in cancer researches is always one of the most concerns which lead to some problems in designing the classifiers.
Hamidreza Saberkari, Mousa Shamsi, Mahsa Joroughi, Faegheh Golabi, Mohammad Hossein Sedaaghi   +4 more
doaj  

ivaBSS: Tools for Independent Vector Analysis

Independent vector analysis (IVA) is a blind source separation (BSS) model where several datasets are jointly unmixed. This package provides several methods for the unmixing together with some performance measures. For details, see Anderson et al. (2011), https://doi:10.1109/TSP.2011.2181836 and Lee et al., (2007) https://doi:10.1016/j.sigpro.2007.01 ...
Nordhausen Klaus, Taskinen Sara
openaire   +1 more source

Enhancing prosthetic hand control: A synergistic multi-channel electroencephalogram

Wearable Technologies
Electromyogram (EMG) has been a fundamental approach for prosthetic hand control. However it is limited by the functionality of residual muscles and muscle fatigue.
Pooya Chanu Maibam, Dingyi Pei, Parthan Olikkal, Ramana Kumar Vinjamuri, Nayan M. Kakoty   +4 more
doaj   +1 more source

Blind audio source separation using independent component analysis and independent vector analysis methods

, 2020
63
openaire   +1 more source

Robotic Sound Source Separation using Independent Vector Analysis [PDF]

, 2013
Beside haptic and vision, mobile robotic platforms are equipped with audition in order to autonomously navigate and interact with their environment. Speaker and speech recognition as well as the recognition of different kind of sounds are vital tasks for human robot interaction.
openaire  

Spatial Variance in Resting fMRI Networks of Schizophrenia Patients: An Independent Vector Analysis. [PDF]

Schizophr Bull, 2016
Gopal S, Miller RL, Michael A, Adali T, Cetin M, Rachakonda S, Bustillo JR, Cahill N, Baum SA, Calhoun VD.   +9 more
europepmc   +1 more source

Implementation and Validation of Independent Vector Analysis

, 2010
This Master’s Thesis was part of the project called Multimodalanalysis at the Depart-ment of Biomedical Engineering and Informatics at the Ume˚ University Hospital inUme˚ Sweden. The aim of the project is to develop multivariate measurement anda,analysis methods of the skeletal muscle physiology.
openaire   +1 more source