fnirSoft (fS) is a stand-alone software package designed to process, analyze and visualize functional near-infrared spectroscopy signals through both graphical user interface and/or scripting. This document provides an introductory tutorial for fnirSoft scripting (programming).
fS script is a data-driven functional programming language for neuroimaging data and was designed to do more with less code and be both readable by humans and computers. The idea is to write simple procedural text to easily manage and automate data processing for scientific computing.
fS Script takes advantage of neuroimaging data structure and using intrinsic language features and commands to eliminate repetitive and error-prone elements that would be necessary to process data in other languages.
fS Script is also aimed to help repeatable research by standardizing functional neuroimaging signal processing steps and helping to establish conventions that can be replicated over time on different datasets.
Synchronizing Data from Multiple Participants Performing a dyadic experiment takes more planning than single-participant studies. Data must be tightly synchronized, equipment must remain inobtrusive, and the experimental paradigm drives the optimal setup. Join us to learn how to record high-quality synchronized data for a wide range of applications.
What You Will Learn: – How to synchronize data from two participants – Recording options: ECG, EDA, EEG, fNIRS, Video – Collaborative virtual environments – Data analysis techniques – Practical tips—and advice on working with children – New ideas about your research
BIOPAC provides software and hardware that allows research teams to study dyadic interactions. Here are a few notable studies using BIOPAC equipment for dyadic research focusing on ECG and EDA data. Are Frustrated Kids Leading to Frustrated Parents? Ask anyone and they will say there is no one definitive way to parent a child. Any parent can […]
BIOPAC’s comprehensive Introductory ECG Guide addresses fundamental to advanced concerns to optimize electrocardiography data recording and analysis. Topics include: ECG Complex; Electrical and Mechanical Sequence of a Heartbeat; Systole and Diastole; Configurations for Lead I, Lead II, Lead III, 6-lead ECG, 12-lead ECG, precordial leads; Ventricular Late Potentials (VLPs); ECG Measurement Tools; Automated Analysis Routines for extracting, […]