nirs
We use TCP/UDP/IP Toolbox 2.0.5 to read and write data from/to a TCPIP port. It’s fast and reliable. The version we use is 2.0.5. Below is a matlab sample script showing how to connect to another computer (called ETG-4000) with TCPIP : %Connect
Noise removal methods in NIRS can be divided into 4 categories: reducing noise based on its temporal characteristics: The instrument noise is usually in the high frequency band and thus can be removed by band pass filtering. Band pass filtering can a
Open properties of the experiment, select tab “Devices” Add a serial port. Make sure the COM Port number is correct In your experiment flow, add inline function to where you want to trigger ETG4000 or put marker. In that function, enter t
You can’t believe how much jargon there is in binary classification. Just remember the following diagram (from wiki). accuracy = ( TP + TN ) / (P+N), i.e. correctly classified divided by the total false discovery rate (FDR) = TP / (TP+FP), i.e.
Advantages cheaper portable (smaller) safe natural settings (e.g. real human interactions instead of computer presentation) high temporal resolution (10Hz) less sensitive to head motion clinically friendly less environment noise long time recording c
Also check out NIRS data analysis (GLM and visualization) Environment requirement MatLab SPM xTopo under xjView xjview is located in /fs/fmrihome/fMRItools/Xjview Add xjview to path by addpath(genpath('/fs/fmrihome/fMRItool
Also check out NIRS data analysis (time series) Environment requirement MatLab SPM 5 or 8 xjView 8 xjview can be downloaded for free from https://www.alivelearn.net/xjview/ (If you are inside CIBSR, xjview is located in /f
I wrote some batch scripts for NIRS-SPM. They, together with NIRS-SPM and xTopo, are called “super” package (I apparently run out of names). The “super” package are located in directory: /fs/quarry/cuixu/NIRS/super Please don&
being updated for v01_r14 … NIRS-SPM is a SPM5 and MATLAB-based software package for statistical analysis of near-infrared spectroscopy (NIRS) signals, developed at the Bio Imaging Signal Processing (BISP) lab. at KAIST in Korea. prepare files