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ErgoLAB EEG fNIRS Multimodal Brain Function Analyzer

NegotiableUpdate on 03/17
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Overview
To deeply analyze brain function and cognitive mechanisms, we innovatively integrate EEG technology and near-infrared acquisition technology, and achieve synchronous arrangement of electrodes and photoelectrode arrays through an integrated cap design. Built in high-precision synchronous clock source ensures millisecond level timestamp alignment of EEG and fNIRS data, which can quickly capture changes in the brain's response to stimuli and help more accurately locate brain activity areas, providing spatiotemporal complementary multidimensional information for brain activity research.
Product Details

ErgoLAB EEG fNIRS Multimodal Brain Function AnalyzerInnovatively integrating electroencephalography (EEG) and near-infrared (fNIRS) technologies, achieving precise coordinated arrangement of electrodes and photo electrode arrays through an integrated cap design; Equipped with a high-precision synchronous clock source internally, it generates a unified temporal reference to ensure millisecond level timestamp alignment of EEG and fNIRS data. It can synchronously capture neurophysiological activity and changes in cerebral hemodynamics, providing a spatiotemporal complementary multidimensional observation solution for complex brain function research. It can provide stable data support for both natural movements and complex tasks, and has good application prospects in cognitive neuroscience research and brain computer interfaces.

Product Features

Combining high temporal and spatial resolution: EEG captures millisecond level neuronal activity, fNIRS locates centimeter level metabolic changes in brain regions, providing comprehensive brain activity information;High density whole brain multimodal detection: designed with whole brain coverage, supporting simultaneous detection of cortical and deep brain activity, meeting the needs of complex cognitive tasks and multimodal research;Millisecond level clock synchronization technology: Built in high-precision clock source ensures millisecond level timestamp alignment of EEG and fNIRS signals, avoiding data drift and ensuring precise synchronization of experimental data;Flexible configuration and customized layout: Supports flexible arrangement of electrodes and photo electrode arrays, and can freely adjust the position of the collected brain area according to experimental needs to adapt to diverse research scenarios;Multiple transmission methods: Supports wireless data transmission over 10 meters, providing over 2000 hours of offline storage capacity to meet long-term experimental needs;Synchronized data acquisition and analysis platform: integrates data synchronization acquisition and real-time analysis functions, supports seamless integration of multimodal data, simplifies experimental processes, and improves research efficiency.

Parameter Specifications

The following table introducesErgoLAB EEG fNIRS Multimodal Brain Function AnalyzerTechnical parameters:

system parameters

Collect signalsEEG、Hb、HbO2、HbT、ACC、GYRO、COMP

Number of channelsCan freely match EEG parameters and near-infrared parameters, supporting up to 208 channels of data

Collection locationFlexible configuration and support for whole brain signal acquisition

Data transmissionWired transmission, wireless transmission, offline storage

Clock synchronization accuracy≤1ms

Detailed specifications


Channel configuration EEG fNIRSEEG32ch-fNIRS14ch, EEG64ch-fNIRS32ch, EEG128ch-fNIRS64ch (customizable)

EEG sampling rate2048Hz

EEG resolution24bit

EEGCMRR≥110dB

EEG input impedance≥1GΩ

EEG input noise<1μVrms

FNIRS acquisition technologyTime-sharing collection method

FNIRS sampling rate256Hz

FNIRS resolution24bit

FNIRS light source wavelength735nm、850nm

FNIRS light source output power45mW, 40mW (four speed power adjustment)



Multi functional intelligent optional solution

ErgoLAB EEG fNIRS Hyper Wearable Ultra Scanning Multimodal Brain Function Instrument

Product Overview

Specially designed for group neuroscience research, it accurately captures real-time EEG signals from multiple individuals, deeply analyzes brain synchronization mechanisms in scenarios such as social interaction, team collaboration, and teaching synchronization, and unlocks new dimensions of brain interaction. Provide a new tool for multi brain collaborative research in fields such as psychology, education, and management science, delve into the neural mysteries of interpersonal collaboration, help optimize interaction strategies, improve collaboration efficiency, and provide a new perspective and solution for studying brain interaction mechanisms.

Parameter Specifications

Super scanSupport real-time synchronous collection of 1-10 people

Ultra high leadMaximum expansion of 2080 channels (208 leads/person * 10 people)

Multi device collaborative recordingSupport the simultaneous collection of multiple/multiple EEG EEG devices with a single record for multi person synchronous analysis and ultra scanning team research

ErgoAI EEG fNIRS edge computing Intelligent Wearing Multimodal Brain Function Instrument

Product Overview

Intelligent analysis and personalized feedback of EEG data are realized by deploying lightweight models on intelligent edge computing terminals. The system supports local self training and real-time prediction capabilities, quickly outputting analysis results and providing feedback and intervention. This innovative technology not only improves the efficiency of EEG data processing, but also provides strong technical support for scenarios such as human-computer interaction, neural feedback, and real-time monitoring of personnel status. Widely used in medical diagnosis, military training and other fields, promoting intelligent and precise decision-making and efficient intervention.

Parameter Specifications

Supporting equipmentErgoAI human factor intelligent edge computing terminal

Edge computing ErgoAI Performance≥100TOPS

Edge device CPU core≥6

GPU memory for edge devices≥16GB

Custom model trainingsupport

Custom model deployment support

Real time data processing and prediction support

Perception Warning and Feedback ModelFatigue model - accuracy>80%, three classification state recognition; Load model - accuracy>80%, three classification state recognition; Emotion model - accuracy>80%, tri class state recognition; Customization supported

Intelligent human-computer interaction modelCustomization supported

ErgoWear EEG fNIRS Wearable Multimodal Physiology EEG Near Infrared Synchronizer

Product Overview

Adopting advanced clock synchronization technology to achieve precise synchronous measurement of multimodal signals and EEG signals. By integrating physiological signals such as heart rate, skin conductance, and respiration, the system can supplement and analyze data from multiple dimensions, intuitively reflecting the activity of the sympathetic and parasympathetic nervous systems, thereby more accurately revealing individual emotional changes and other physiological states. This multimodal data fusion provides richer information for a comprehensive assessment of an individual's physiological and psychological state.

Parameter Specifications

auxiliary equipment Multimodal physiological measurement kit

Number of channels8 BIO、8 EXG

Data source supportEMG、ECG、EOG、fNIRS、EDA、PPG、HR、SKT、RESP、Analog、FSR、SPO2、RMS、RR、BP

Sampling rate2048Hz/channel

resolution 24bit

ErgoXR EEG fNIRS Virtual Extended Reality Brain Function Analyzer

Product Overview

We have deeply integrated highly immersive VR environments with millisecond level EEG acquisition technology to create a neural activity research platform in virtual reality scenes. Constructing immersive virtual scenes through VR helmets to provide users with a multi sensory interactive experience, including visual and auditory senses. At the same time, the real-time EEG data synchronization function equipped in the system can accurately reflect the user's brain activity status in the virtual scene. This innovative monitoring method provides a new solution for the study of neural mechanisms in fields such as military simulation training, clinical rehabilitation assessment, and architectural spatial cognition, helping researchers to deeply analyze the brain response mechanisms in complex virtual environments and promoting cutting-edge research in neuroscience and applications.

Parameter Specifications

Supporting equipmentVirtual reality measurement equipment

Expand the types of data collectedGaze at the origin, gaze direction, pupil position, pupil size, and open eye state

Expand the accuracy of data collection0.5°

Expand the sampling frequency of data collection120Hz

ErgoWear EEG fNIRS Wearable Creative Brain Function Monitor

Product Overview

Having comprehensive domestic software and hardware solutions, from chips to systems, independently controllable, free from external technological dependence, and ensuring data security and confidentiality in all aspects. Deeply adapted to the Kirin operating system, ensuring stable and efficient operation on the Kirin system, providing a secure and reliable platform support for scientific research innovation and industry applications.

Parameter Specifications

Multi modal data synchronization scheme

The ErgoLAB human-machine environment synchronization cloud platform supports the synchronous collection and comprehensive analysis of multi-dimensional data from humans, machines, and environments, including eye tracking, physiological measurements, biomechanics, electroencephalography, brain imaging, behavior, human-computer interaction, action posture, facial expressions, subjective evaluation, spatiotemporal behavior, simulators, physical environments, etc., providing complete data indicators for scientific research and applications. The platform can complete a complete experimental and evaluation process, including project management - experimental design - synchronous collection - signal processing - data analysis - human factors intelligence evaluation - visual reporting, supporting group testing based on cloud architecture technology and big data cloud management.