Support for high sampling and long-duration measurements.
The PortaLiteMK2 is a 1ch NIRS system consisting of a simplified sensor and control unit compared to the PortaLite, applicable to the forebrain and muscle tissue. With a high sampling rate (up to 100Hz) and approximately 30 hours of battery life, the PortaLiteMK2 can accommodate a wider range of research/applications. The control unit can connect two PortaLiteMK2 sensors, and by adding more PortaLiteMK2 sensors, it expands the measurement applications to include simultaneous measurements of both sides of the brain, different muscles, or brain and muscle together.
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basic information
■Measurement of changes in local oxy, deoxy, and total hemoglobin concentration and tissue saturation index (TSI) ■Applicable to the frontal brain and muscle tissue ■Quick setup ■Built-in short separation channels for measuring both deep and surface tissues ■Real-time online or offline recording with a high sampling rate (up to 100 Hz) and long battery life ■Onboard event button for easy event marking ■Optional inertial sensor ■Simultaneous connection of up to 2 sensors
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Applications/Examples of results
Changes in muscle activity and fatigue levels during vehicle operation/machine operation/work.
Company information
We handle high-precision measurement equipment that can be used for ergonomics, building structure, behavior, seismic analysis, fluid analysis, VR, and more, both domestically and internationally. In particular, the Qualisys system we offer is a leading company in the industry that manufactures a three-dimensional optical motion capture system based in Sweden. Qualisys's core technology has been developed since 1989, and based on years of accumulated experience, they develop everything in-house, from hardware like cameras to software. Currently, motion capture systems are used in a wide variety of fields, including medicine and industry. Among their products, there is a unique model that can measure underwater, enabling the acquisition of high-precision three-dimensional data in environments where motion analysis and validation of accuracy were previously impossible.
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