Description The Cognitive Performance Research Kit is a ready-to-use multimodal research solution designed to investigate brain activity and physiological responses during demanding mental tasks. It supports experimental studies on attention, mental workload, decision-making, and cognitive stress by combining cortical hemodynamic monitoring with synchronized autonomic measurements. At its core, the integrated fNIRS sensor measures changes in cortical blood oxygenation, providing objective insight into prefrontal activation associated with executive function and sustained attention. Complementary physiological signals enable the assessment of autonomic responses linked to cognitive load, allowing integrated analysis of brain and body dynamics. This kit is intended for researchers and advanced users in cognitive neuroscience, human factors, and performance research conducting controlled or applied experimental studies. PLUX software is available for real-time signal visualization and structured data recording. What's Included? 1x wireless 4-channel hub ECG sensor EDA sensor RIP sensor fNIRS sensor 1x Bluetooth dongle 1x medical-grade charger 50x pre-gelled electrodes Resources 4-Channel Hub Datasheet biosignalsplux User Manual Biosignalsplux Quickstart Guide Research Evidence & Applications Attention Classification Based on Biosignals during Standard Cognitive Tasks for Occupational DomainsGamboa, P., Varandas, R., Rodrigues, J., Cepeda, C., Quaresma, C., & Gamboa, H. Published in Computers in 2022. The study used PLUX data acquisiton devices to collect physiological data during standard cognitive tasks for attention classification, including ECG, EEG, EDA, fNIRS, RIP and accelerometer data. Read publication here. Predicting Driver’s Mental Workload Using Physiological Signals: A Functional Data Analysis ApproachBiondi, F. N., Rodriguez, E. F., et al. Published in Applied Ergonomics in 2024. The study used biosignalsplux ECG, EMG, EDA and EEG sensors to collect physiological data during simulated driving tasks and predict driver mental workload. Read publication here. PhysioLab - A Multivariate Physiological Signal Analysis and Interpretation Toolbox for the Study of EffortPublished in Multimedia Tools and Applications in 2018. The study used the biosignalplux toolkit with EDA, ECG and EMG sensors to analyse physiological responses related to effort, cognitive load and physical activity. Read publication here. Frequently Asked Questions (FAQs) What exactly is included in the Cognitive Performance Research Kit?The Cognitive Performance Research Kit includes a complete biosignalsplux setup for synchronized physiological data acquisition, based on a 4-channel wireless hub and a predefined set of sensors (ECG, EDA, RIP and fNIRS). It also includes all essential and sensor-specific accessories required for proper data acquisition, ensuring a ready-to-use setup without additional system integration. Can I access raw physiological data from all sensors?Yes. The kit provides access to raw physiological data from all included sensors.Using PLUX software tools, users can visualize and record biosignals in real time, supporting the analysis of physiological and cognitive responses during demanding mental tasks. Is the kit modular or fixed, and can sensors be added or removed?The kit is delivered as a predefined configuration, while remaining compatible with the modular biosignalsplux ecosystem. Users can add, remove or replace sensors as needed, with support for up to 4 sensors simultaneously using the included hub. Is this system suitable for both academic and applied research?Yes. The kit is designed to support both academic and applied research in cognitive neuroscience, human factors and performance studies. It can be used in controlled laboratory environments as well as in applied scenarios where cognitive performance and mental workload need to be assessed. Can the system be used for real-time monitoring during cognitive tasks?Yes. The kit supports real-time monitoring of physiological signals during cognitive tasks. Users can visualize signals as they are acquired, enabling immediate observation of responses associated with cognitive load and task demands.
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