L1 Norm based common spatial patterns decomposition for scalp EEG BCI
نویسندگان
چکیده
منابع مشابه
L1 Norm based common spatial patterns decomposition for scalp EEG BCI
BACKGROUND Brain computer interfaces (BCI) is one of the most popular branches in biomedical engineering. It aims at constructing a communication between the disabled persons and the auxiliary equipments in order to improve the patients' life. In motor imagery (MI) based BCI, one of the popular feature extraction strategies is Common Spatial Patterns (CSP). In practical BCI situation, scalp EEG...
متن کاملMultisubject Learning for Common Spatial Patterns in Motor-Imagery BCI
Motor-imagery-based brain-computer interfaces (BCIs) commonly use the common spatial pattern filter (CSP) as preprocessing step before feature extraction and classification. The CSP method is a supervised algorithm and therefore needs subject-specific training data for calibration, which is very time consuming to collect. In order to reduce the amount of calibration data that is needed for a ne...
متن کاملImproved Filter Selection Method for Filter Bank Common Spatial Pattern for EEG-Based BCI Systems
In this paper, we propose an improved filter selection method using Welch’s t-test based on discriminative filter bank common spatial pattern (DFBCSP). Existing DFBCSP used the Fisher ratio in order to find out discriminative filters. However, the Fisher ratio can be used to know only comparative value of distinguishability but may not become a meaningful criterion to reject null hypothesis. As...
متن کاملCommon Spatial Patterns in a few channel BCI interface
One source of EEG data quality deterioration is noise. The others are artifacts, such as the eye blinking, oculogyration, heart beat, or muscle activity. All these factors mentioned above contribute to the disappointing and poor quality of EEG signals. There are some solutions which allow increase of this signals quality. One of them is Common Spatial Patterns. Some scientific papers report tha...
متن کاملVector-based spatial-temporal minimum L1-norm solution for MEG.
Minimum L1-norm solutions have been used by many investigators to analyze MEG responses because they provide high spatial resolution images. However, conventional minimum L1-norm approaches suffer from instability in spatial construction, and poor smoothness of the reconstructed source time-courses. Activity commonly "jumps" from one grid point to (usually) the neighboring grid points. Equivale...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BioMedical Engineering OnLine
سال: 2013
ISSN: 1475-925X
DOI: 10.1186/1475-925x-12-77