The EEG Quality Check and EEG Quality Display allow you to perform real-time artifact detection and to identify whether the data are clean during the experiment. The Camera Synchronization block allows you to record videos together with biosignals. The Audio Stream block outputs stereo CD quality sound to the standard speakers from Simulink. The sound files can be enabled using a given sound ID.
#Galvanic skin response labview driver
The Audio Stimulation block presents a set of pre-recorded sound files via a low-latency sound driver to create different types of audio stimulation. FEATURE EXTRACTIONįeature extraction blocks allows you to calculate the power spectrum, ERD, FFT, averages and to perform a significance analysis. Spasticity Control allows you to check the EMG contraction level, EOG Selection allows you to control a device with eye-blinks and eye-movements, EMG Selection Threshold calculates the RMS and allows you to trigger on muscle movements, EMG Selection Calibration allows you to calibrate on certain muscle movements to generate triggers if the threshold is crossed and EMG 2D selection calibration allows 2D muscle control. EXAMPLESĮxamples contains many ready-to-go Simulink models. The Paradigm Presenter allows you to run multi-modal paradigms with videos, audio, text, images and DIO with g.STIMbox. The Mouse Pointer block can generate cursor movements via Simulink, similar to mouse control. Multiple blocks can be used to look for different events. The block checks the system for keyboard and mouse events and generates markers accordingly. The Marker block is for keyboard and mouse markers in Simulink. The source derivation, notch filter, cascading notch filter, EEG/ECG BW filter and BP BW filter blocks allow you to remove artifacts from the data or to extract certain components. Motor Imagery BCI (Bandpower, Common Spatial Patterns, Common Spatial Patterns with FES) P300 BCI (Visual P300, Vibro-tactile P300) Scope for ultra-fast raw data visualization of up to 1024 channelsĨ9 Signal Processing Blocks (Feature Extraction, Pre-processing, Visualization. The model works with double precision accuracy.īuy with a g.HIamp, g.Nautilus or g.USBamp to save 10%Īmplifier block to read data from g.USBamp, g.HIamp and g.Nautilus Additionally g.HIsys comes with many useful blocks for pre-processing, transformation, analysis and storage.ĭata can be visualized with Scope blocks and stored on the hard disk in MATLAB format. Then, click on Play in the SIMULINK model to start the biosignal acquisition. Just double-click the Amplifier block to perform the settings. The device driver block gives you access to all amplifier specific settings like sampling frequency, digital I/O lines, bandpass and notch filtering. g.HIsys allows you to use all standard SIMULINK blocks in your model and to write your own blocks in MATLAB or C. This Rapid Prototyping environment speeds up the development cycle dramatically, and your first real-time experiments can begin within a few hours. Then, the model is started, and the device driver guarantees real-time processing. Therefore, the device driver blocks for these devices are copied into the Simulink model and are connected to other blocks that do the signal analysis. The proposed mechatronic system intends to meet the needs of bedridden patients improving their quality of life, health, safety, and comfort, while enabling the remote monitoring of the patients.The g.HIsys Highspeed Online Processing for Simulink lets you collect biosignal data like EEG, ECoG, EMG, EOG, fNIRS and ECG within a Simulink model for further real-time processing and is available for g.HIamp, g.USBamp and g.Nautilus. This device has a flexible configuration allowing a fast and cheap reconfiguration according the specific needs of the patient. The caregiver may request help from a specialist who sends back information in real time to perform first aid assistance. One of the MCT functionalities is the remote access to the patient data through the web. The proposed solution has, as main feature, its adaptability to the patient needs. Data acquisition and processing is performed using Arduino and LabVIEW platforms, respectively. The MCT has six biomedical sensors and four environmental sensors. The developed Medical Care Terminal (MCT) improves autonomy in home care, safety, comfort, and hygiene of bedridden patients. Abstract : This work is developed in the context of Ambient Assisted Living (AAL) and has as main objective the development of a mechatronic system that allows the care of bedridden patients with ongoing medical care handled by a single person.