Brain Computer Interface (BCI) Integration Toolkit

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.

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.

A software application that automates the steps of standard EEG examinations. The application enables nurses and other medical workers to perform high-quality EEGs after short training by streamlining the diagnostic workflow.

Clinical software application that automates standard EEG examination procedures, enabling non-specialist healthcare professionals to acquire high-quality EEG data after brief training.

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

Non-invasive neural decoding system enabling direct brain-to-computer communication for research applications. Based on magnetoencephalography technology for detecting and interpreting neural activity patterns.

A software solution for automated EEG analysis and interpretation. The encevis software add-on enhances the esumedics EEG system with advanced analytical capabilities for efficient and comprehensive neurodiagnostic evaluation.

Comprehensive software platform for EEG and event-related potential data processing and analysis. Supports multimodal data integration with fNIRS, TMS, and fMRI for advanced neurophysiological research.

Integrated platform for administering cognitive tests and recording associated brain activity measurements. Combines behavioral assessment with EEG monitoring for comprehensive neuropsychological evaluation.

Automated EEG data collection application designed to streamline standard EEG examination procedures. Enables non-specialist healthcare workers such as nurses to acquire high-quality EEG recordings following brief training.

Software platform for assessing and monitoring neurological rehabilitation outcomes using brain-computer interface data and EEG signals. Enables objective measurement of recovery progress in stroke and neurological patients.

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