BC-1 Application

Software application for real-time visualization and monitoring of EEG and ERP signals during data acquisition. Enables immediate feedback and quality assessment during clinical and research procedures.

A comprehensive EEG data management and analysis platform that integrates measurement hardware with advanced software analytics. The system is designed for hospital and research institute deployment with customizable application solutions.

Application for quantifying functional connectivity between brain regions using EEG and fNIRS data. Supports network analysis and graph theoretical approaches to neuroimaging.

Wireless EEG-based monitoring system combining neuroscience, artificial intelligence, and portable hardware for real-time brainwave measurement and analysis. Designed for clinical applications including anesthesia depth monitoring and sleep enhancement through electrical/thermal stimulation. FDA and internationally certified medical device with customizable measurement capabilities and application analytics.

A smartphone and tablet application that converts mobile devices into medical diagnostic tools for patient triage with cerebrovascular disorders. The app integrates patient information and provides assessments based on ABCDx-owned algorithms and databases to assist healthcare professionals in decision-making.

Software platform for EEG data acquisition, processing, and analysis in clinical and research settings, supporting real-time monitoring and comprehensive neurological assessment.

Software and API tools for integrating Enobio EEG systems with brain-computer interfacing applications and neurofeedback systems. The toolkit enables researchers to develop and test advanced BCI implementations.

An integrated software and hardware solution for implementing brain-computer interface technology in clinical environments. Supports diagnostic and therapeutic closed-loop applications for neurological care.

EEG-based software system to assist clinical diagnosis and treatment planning. Utilizes pattern recognition and normative database comparisons to identify abnormal brain activity.

Software algorithms designed to process, filter, and analyze raw EEG signals from medical-grade devices. The system performs artifact removal, feature extraction, and signal normalization for clinical analysis.

Comprehensive software for EEG signal processing, artifact detection, and data analysis. Facilitates clinical interpretation and automated diagnostic assistance.

Specialized software for processing and interpreting neural signals from non-invasive brain-computer interfaces. The system provides real-time data analysis and clinical integration capabilities for medical institutions.