AcqKnowledge software for MP160, MP150, and MP36R research systems includes a fully-automated electrodermal activity (EDA) data scoring routine. The feature includes options for deriving phasic EDA from tonic EDA, locating skin conductance responses (SCR), and event-related EDA analysis.
Watch the tutorial video now:
A Guide for Analysing Electrodermal Activity (EDA) & Skin Conductance Responses (SCRs) for Psychological Experiments (Dr Jason J Braithwaite, Dr Derrick G Watson, Robert Jones, Mickey Rowe; compiled 2013).
BIOPAC’s event-related EDA analysis works in conjunction with a Digital input to stim events feature. The Digital input to stim events function works with TTL trigger information coming from applications such as Superlab®, E-Prime®, DirectRT®, MediaLab®, Inquisit®, and Presentation®. It converts TTL data acquired on the digital channels of an MP device into stimulus events. Stimulus delivery events are defined in the graph for each low to high transition of the digital data, the indications of stimulus delivery. The digital channels are interpreted as a binary number. Each stimulus event placed into the graph has the corresponding number included with its label. The event-related EDA tool locates the stimulus events and looks for an SCR that falls within a time window after the stimulus was presented to the subject.
The following measures are extracted from the electrodermal activity data:
Click here to learn more about BIOPAC EDA solutions.
With Biopac Student Lab, students learn by doing and use near-infrared spectroscopy (NIRS) sensors to record and analyze data displaying changes in deoxygenated (Hb) and oxygenated (HbO2) hemoglobin during cognitive and neuromuscular.Learn what fNIRS can add to your physiology lab:
– Principles of optical brain imaging
– Lessons on prefrontal cortex imaging and muscle oxygenation
– Demonstration examining Hb and HbO2 during BP occlusion
– Combining fNIRS curriculum with EMG, EDA, EEG, ECG, SpO2, and Respiration to examine the relationship between brain oxygenation and other physiological signals
– Use cases for both teaching and research
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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, […]
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