BIOPAC – Inspiring people
and enabling discovery about life.
Measure physiology anywhere, anytime, from any subject with innovative, compatible solutions that can be used by anyone for meaningful discovery & high-quality, scientific interpretation.
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Make greater discoveries in the lab, in the MRI, and in real-world and virtual environments using BIOPAC wired, wearable wireless, and MRI-compatible physiology measurement and interpretation solutions. Cited in over 23,700 peer-reviewed journal articles & scholarly references and trusted by the world’s premier laboratories and leading researchers, BIOPAC’s world-class life science research platforms provide the most advanced acquisition and analysis of ECG, EEG, EGG, EMG, EOG and over 300 other signals and physiological measurements.
Increase student engagement and deliver inspired teaching—before, during and after the lab—with the Biopac Student Lab System, the gold standard for life science education. Preferred by faculty in the best learning institutes around the world for its superior flexibility, ease of use, student engagement, and educator support, the Biopac Student Lab System’s integrated hardware, software, and curriculum compliment physiology, exercise physiology, psychology, pharmacology, biomedical engineering, nursing, and medical school undergraduate and post-graduate programs.
This Mobita wearable physiological signal amplifier system records 32 channels of high-fidelity wireless EEG data with water electrodes. The system includes: Mobita base unit with onboard 3D accelerometer & trigger channel ConfiCap™ configured for 32-Channel EEG Headcap with 32 grommets for Water Based Electrodes Water Based Electrodes AcqKnowledge software This Mobita® System is uniquely suited to record wireless EEG for a variety of applications, such as […]
Personal Identification: Researchers from Yonsei University recently performed a study testing the viability of using ECG signals for individual identification, much like a password or key. Their study investigated experiments that recorded ECG after exercise and estimated the recognition potential of these signals. ECG was measured from subjects using the BIOPAC MP150 data acquisition system […]
Ford ran an experiment in which it used fNIR devices to monitor individual’s driving performance. The drivers were then given a score and provided insights into how their driving could be improved, via an app. Ford ran the study for four months using 40 Ford Fiestas and encompassed various types of weather, time of day, and […]