This is our easy-to-use, versatile, and scalable software for real-time biosignals visualization, capable of direct interaction with BITalino. Core functionality includes sensor data acquisition from multiple channels and devices, data visualization and recording, as well as loading of pre-recorded signals.
Muscle activity is usually assessed using time and spectral features. This plugin extracts statistical information from Electromyography (EMG) sensor data. Its automatic onset detection algorithm enables analysis of each individual muscle activation event, in addition to overall analysis of the recording session. Timings analysis is also done for each activation relative to a reference muscle.
Electrodermal responses are characterized as phasic changes in the skin conductance, and associated with the sympathetic nervous system activation. This plugin has been designed to compute overall statistics, basic spectral analysis, and extract typical event-related phasic features from Electrodermal Activity (EDA) sensor data.
Respiratory data provide useful information about the breathing dynamics. Designed to work with Respiration (PZT) sensor data, this plugin is a convenient way to determine respiratory rate and other useful temporal and statistical parameters associated with the respiratory cycles.