Research data acquisition system MP160WSW-FR
USBdata analysis

research data acquisition system
research data acquisition system
research data acquisition system
research data acquisition system
research data acquisition system
research data acquisition system
research data acquisition system
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Characteristics

Applications
for research
Other characteristics
USB, data analysis

Description

This starter system includes an MP160 System with AcqKnowledge software for physiological signal recording and analysis, plus a FaceReader Integration license to add expression analysis. MP160 data acquisition and analysis systems with AcqKnowledge software provide a flexible tool for life science research. MP160 data acquisition workstations include all hardware, software, cables, and guides you need to get started. The modular, powerful data acquisition interface system for Windows can be used with BIOPAC’s amplifiers and accessories AND with equipment you already have. To put together a system to match your research design, add amplifier modules, transducers, and electrodes to complete your recording solution. MP160 Data Acquisition Hardware—Ethernet-ready data acquisition and analysis unit can record multiple channels with differing sample rates; record at speeds up to 400 kHz (aggregate). Place one or more MP160 Systems in a local area network (LAN). Use any computer in the LAN to record from any MP160 system in the network. AcqKnowledge Acquisition & Analysis Software—intuitive, interactive program lets you instantly view, measure, transform, analyze, and report data. This system includes a license add-on for AcqKnowledge 5 to integrate FaceReader 6.0—the system does not include FaceReader software. FaceReader Emotion reading software locks onto a subject’s face and analyzes facial movements to classify subject’s response. Easily integrate with physiological parameters from an MP160 Research System or eye tracking data. When you start AcqKnowledge to begin recording, FaceReader data is automatically synchronized and recorded in the same graph file.

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