32 channels of wireless data with 3D accelerometer and trigger channel
BIOPAC now offers the Mobita® wearable physiological signal amplifier system that can record up to 32 channels of high-fidelity wireless data. The system can either telemeter data back to a computer running AcqKnowledge for real-time display and analysis of the signals, or record it locally for later download. Easily switch between live or logging modes to suit your research protocol.
Impressive technical capabilities & flexibility combined to create the ultimate solution for wireless data
The flexible Mobita® system is fully integrated with AcqKnowledge, records up to 32 channels of data at up to 2K s/s, is battery operated, and fits in the palm of your hand
Record many different signal types (i.e., 32-ch EEG, EMG, or combinations of ECG/EMG/EEG, etc.). Simply disconnect one ConfiCapTM header and snap on a new configuration to quickly change the electrode configuration or signal type for a completely different application.
Each channel is unipolar (single ended) and AcqKnowledge is easily configured to create unique montages and combinations of signals. Record a 12-lead ECG while recording EEG and EMG data all with the same device.
With AcqKnowledge and Mobita, the system is quickly configured to do the work of multiple systems without the added cost of multiple amplifiers.
Mobita® is uniquely suited to record biopentials for a variety of applications, such as exercise physiology (gait and movement analysis), brain-computer interfacing, psychology, neuromarketing, sports, ambulatory testing, and many more.
Click here to learn more about Mobita Wireless Systems now!
Join BIOPAC to learn about Argus ETVision eye tracking glasses and how to integrate with AcqKnowledge software.
You will learn:
– How to optimize the glasses setup
– How to use the glasses for in-lab and mobile applications
– How to import and synchronize logged data from the glasses
– How to analyze the data using ETAnalysis
– How to create Moving and Live Areas of Interest
– How to extract eye tracking measurements in AcqKnowledge with physiological data
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