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 that cover Respiration, EEG, and Neuromarketing.
In this study, a mathematician from Simpson College uses her skills and students’ respiratory studies conducted with Biopac Student Lab equipment (BSL 4 Software and MP36 Data Acquisition Unit) to help tailor a more effective treatment for her Down’s Syndrome child.
The Upside of Down’s Syndrome: Math Is My Superpower! (Heidi Berger)
In addition to measuring steps and other physical activity metrics, body-worn activity monitors are designed to measure sleep quantity and quality. However, little research has assessed activity monitors’ sleep tracking accuracy or compared accuracy among different brands and models of monitors. The purpose of this study was to validate and compare several activity monitors for assessment of total sleep time and stages of sleep throughout a night. The BIOPAC MP160 System with EEG100C amplifiers was used to collect the necessary EEG data during the sleep study.
Accuracy of Activity Monitors in Assessing Sleep (John Mitrzyk, Natashia Swalve, Brianna Harfmann, and Alexander HK. Montoye)
This study investigates the effect of visual complexity in a fashion store on affective/behavioral responses using self-report and psychophysiological measures. Two experiments were conducted to test the proposed effects of visual complexity. The results showed that high-visual complexity in a fashion store has a negative effect on pleasure when consumers’ fashion involvement level is low, but such negative effect of visual complexity diminished in consumers with high fashion involvement. The findings provide novel understanding of the effects of store’s visual complexity to consumers. BIOPAC AcqKnowledge data acquisition and analysis software was used to record and analyze the data.
Store Design: Visual Complexity and Consumer Responses (Ju Yeun Jang, Eunsoo Baek, So-Yeon Yoon, Ho Jung Choo)
Many studies use hand dynamometry to objectively quantify exerted effort during experiments most commonly related to the study of motivation.
We’ll focus on this topic and go over everything you need to know to record dynamometry data in the MRI or in the lab. Topics include
– Calibrating for maximum voluntary contraction (MVC)
– Real-time access to the dynamometer signal by third-party applications
– How researchers have used this equipment
– Creating a visual task that gives feedback on exerted effort as well as rewards to the participant
On Demand Playback
Discovering and understanding what motivates humans to produce better results has intrigued many researchers. Many researchers have explored the psychophysiological processes that drive our behavior. Here are some recent studies that have used BIOPAC systems to research motivation… Motivation and Pleasure Deficits Undermine the Benefits of Social Affiliation in Psychosis. Blanchard, J. J., Smith, J. […]
Eye tracking technology has come a long way and has enabled researchers to conduct mobile experiments and track participants in real world scenarios. These featured studies demonstrate some of the use cases for mobile eye tracking technology. Here are some recent studies that have used BIOPAC systems for eye tracking research… Drivers’ gaze patterns when resuming […]Read All