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New Citations | Keeping Students Attentive in an Online Setting & More!

BIOPAC provides software and hardware that allows research teams to record and analyze numerous body signals for physiological experimentation. Here are a few notable studies using BIOPAC equipment for ECG, EDA, and Respiration data.

What Keeps Students More Engaged?Pexels Julia M Cameron

The question has been brought to the forefront during COVID, what variations of online learning keep students more engaged? Is it videos featuring lecturers or videos featuring infographics? By measuring EDA with a BIOPAC MP system and wireless EDA amplifier, this study was able to see which method of video kept students’ attention longer. Read the full study: The Influence of Video Format on Engagement and Performance in Online Learning (Sergej Lackmann, Pierre-Majorique Léger, Patrick Charland, Caroline Aubé, and Jean Talbot)

Could ECG Data Lead to Safer Roads?

Could combining physiological data of drivers with safety features of vehicles make roads safer? Could vehicles respond to ECG data in real time? Using a BIOPAC MP data acquisition unit and AcqKnowledge software, this study was able to improve ECG data collection from drivers who became stressed while driving in simulated conditions. Read the full study: ECG-Based Driver Stress Levels Detection System Using Hyperparameter Optimization (Mohammad Naim Rastgoo, Bahareh Nakisa, Andry Rakotonirainy, Frederic Maire, and Vinod Chandran)

Can Muscles Catch Their Breath?

After exercising, most people breathe heavily to increase oxygen going into their body to recover faster. Do our muscles mimic us as they recover too? With a BIOPAC data acquisition unit, researchers were able to measure heart rate, body temperature, and arterial pressure of rats. The rats’ muscles were electrically stimulated to see if oxygenation levels changed while muscles contracted and physiological measures increased. Read the full study: Spike of Interstitial PO2 Produced by a Twitch in Rhythmically Contracted Muscle (Aleksander S. Golub, William H. Nugent, and Bjorn K. Song)

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free BIOPAC webinar

fNIRS Data Analysis

In this fNIRS training, you will see a typical analysis workflow for fNIRS data in experiments featuring both event-based and continuous stimulation. Learn about a powerful yet easy-to-use software package with both a graphical user interface and scripting capability (for automation).

What You Will Learn:
• Preparing data for analysis
• Signal conditioning, noise removal, and managing artifacts
• Best practices for visualizing recorded data
• Block analysis using event markers and/or time
• Further temporal and spatial processing of data, including cell-by-cell processing
• Automation of analysis procedures
• Performing common statistical comparisons (t-test, ANOVA)
• Spatial visualization
LIVE Webinar Aug 25th 8am PT/11am ET

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Latest News

New Citations | BIOPAC in EDA Research

Researchers utilize electrodermal activity (EDA) data in a wide array of protocols. These recent studies join thousands of BIOPAC citations for EDA and represent just a few of BIOPAC’s hardware options for wired, wireless, logged, or MRI protocols with reusable or disposable EDA accessories and AcqKnowledge software solutions for Automated EDA Analysis Routines and EDA Measurement Tools. Caffeine Delivery […]

EDA Guide Available

BIOPAC’s comprehensive EDA Guide provides an introduction to Electrodermal Activity (EDA or GSR) and details topics including: EDA Complex: SCL, SCR, tonic, phasic, specific SCR, non-specific SCR Participant Prep & Electrode Placement Data Recording tips Automated EDA Analysis Routines Digital input to Stim Events Stim-Response Analysis Derive Phasic EDA from Tonic Event-related EDA Analysis Locate […]

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