43 citations · 75 across the 11 of their papers we have counts for
11 papers
Enabling Temporal-Spectral Decoding in Pre-movement Detection
Hao Jia, Feng Duan, Yu Zhang +2
Non-invasive brain-computer interfaces help the subjects to control external devices by brain intentions. The multi-class classification of upper limb movements can provide externa…
Multi-class versus One-class classifier in spontaneous speech analysis oriented to Alzheimer Disease diagnosis
K. López-de-Ipiña, Marcos Faundez-Zanuy, Jordi Solé-Casals +2
Most of medical developments require the ability to identify samples that are anomalous with respect to a target group or control group, in the sense they could belong to a new, pr…
Selection of entropy based features for the analysis of the Archimedes' spiral applied to essential tremor
Karmele López-De-Ipiña, Alberto Bergareche, Patricia De La Riva +10
Biomedical systems are regulated by interacting mechanisms that operate across multiple spatial and temporal scales and produce biosignals with linear and non-linear information in…
HAIDA: Biometric technological therapy tools for neurorehabilitation of Cognitive Impairment
Elsa Fernandez, Jordi Sole-Casals, Pilar M. Calvo +2
Dementia, and specially Alzheimer s disease (AD) and Mild Cognitive Impairment (MCI) are one of the most important diseases suffered by elderly population. Music therapy is one of…
Speaker recognition improvement using blind inversion of distortions
Marcos Faundez-Zanuy, Jordi Sole-Casals
In this paper we propose the inversion of nonlinear distortions in order to improve the recognition rates of a speaker recognizer system. We study the effect of saturations on the…
Improving Pre-movement Pattern Detection with Filter Bank Selection
Hao Jia, Zhe Sun, Feng Duan +3
Pre-movement decoding plays an important role in movement detection and is able to detect movement onset with low-frequency electroencephalogram (EEG) signals before the limb moves…
Towards Multi-class Pre-movement Classification
Hao Jia, Zhe Sun, Feng Duan +3
In non-invasive brain-computer interface systems, pre-movement decoding plays an important role in the detection of movement before limbs actually move. Movement-related cortical p…
Novel EEG-based BCIs for Elderly Rehabilitation Enhancement
Aurora Saibene, Francesca Gasparini, Jordi Solé-Casals
The ageing process may lead to cognitive and physical impairments, which may affect elderly everyday life. In recent years, the use of Brain Computer Interfaces (BCIs) based on Ele…
Serial-EMD: Fast Empirical Mode Decomposition Method for Multi-dimensional Signals Based on Serialization
Jin Zhang, Fan Feng, Pere Marti-Puig +4
Empirical mode decomposition (EMD) has developed into a prominent tool for adaptive, scale-based signal analysis in various fields like robotics, security and biomedical engineerin…
Learning from Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding
Cesar F. Caiafa, Ziyao Wang, Jordi Solé-Casals +1
In this paper, the problem of training a classifier on a dataset with incomplete features is addressed. We assume that different subsets of features (random or structured) are avai…
Brain-Computer Interface with Corrupted EEG Data: A Tensor Completion Approach
Jordi Sole-Casals, Cesar F. Caiafa, Qibin Zhao +1
One of the current issues in Brain-Computer Interface is how to deal with noisy Electroencephalography measurements organized as multidimensional datasets. On the other hand, recen…