Qusp Product Portfolio
An Internet-based API service for real-time streaming and processing of brain and other biosignals in the cloud. Anytime. Anywhere.✔ RESTful API: If your application can connect to the Internet, it can be made “bio aware”
✔ Sensor-agnostic: Can integrate EEG, ECG, EMG, HID, eye tracking, motion, and more
✔ Secure and private
✔ Robust and scalable
✔ Upload your data for offline storage and processing
✔ Select from our library of cutting-edge pipelines for Brain-Computer Interfacing, Neuroimaging, Neurofeedback, Telemonitoring, Biosignal denoising, and much more!
✔ Design and deploy your own pipelines using our NeuroPype™ graphical programming environment (requires NeuroPype™ Enterprise Edition)
✔ Develop lightweight “bio aware” mobile and PC apps leveraging the immense compute power of the cloud
Python computational engine and Visual Programming Environment for rapid construction and deployment of real-time biosignal processing, neuroimaging, and brain-computer interface or neurofeedback pipelines. It focuses on “out of the box” use, rich feature set, robust hardware device support and is deployable on NeuroScale.✔ Comprehensive algorithm library: 200+ algorithms including advanced artifact (noise) removal, high-resolution brain mapping, advanced analytics using machine learning, and much more
✔ Take a short cut to the cutting edge by selecting from a library of pre-built workflows for common biosignal processing and BCI use cases. Customized for “out of the box” use by our BCI and neuroimaging experts, these are continually updated to reflect the latest published research literature and methods
✔ Add your own algorithms to NeuroPype using Python and share workflows between collaborators
✔ Interact with real-time data visualizations
✔ Broad hardware support: interfaces with the open source Lab Streaming Layer, supporting most consumer and research EEG hardware and over 22 other device classes
✔ Pipelines deploy on NeuroScale for real-time access anywhere you can connect to the Internet
Qusp Community Projects (Open Source, Past Involvement, etc.)
The Glass Brain
The world’s first interactive, real-time, high-resolution visualization of an active human brain, designed specifically for Virtual Reality.• Anatomically realistic and navigable high-resolution MRI-based 3D brain model.
• Integrates cortical brain activity and connectivity, computed in real-time from an EEG headset, with structural fiber tracts estimated from diffusion tensor imaging.
• Virtual-reality compatible (Oculus Rift).
• Over 250,000 views of the Glass Brain on YouTube!
Qusp Role: Tim Mullen co-led development of the Glass Brain with Adam Gazzaley (Director, UCSF Neuroscape Lab). The brain mapping software was implemented by Tim Mullen and Christian Kothe using SIFT, BCILAB, and LSL software which they developed at the Swartz Center for Computational Neuroscience, Inst. for Neural Computation, UCSD.
• Integrated into the EEGLAB software environment.
• Modular architecture including modules for data pre-processing, model fitting and validation, connectivity analysis, statistics, visualization, group analysis, and realistic simulations of EEG dynamics.
• Includes a suite of methods for dynamical system identification, including regularized vector autoregressionand linear and non-linear Kalman filtering.
• Over 15 measures of brain connectivity, including multivariate Granger causality, transfer function analysis, and coherence.
• Interactive visualization allowing analysis of source- or sensor-based connectivity across time, frequency, and spatial location.
Qusp Role: Tim Mullen developed SIFT as a graduate fellow at the Swartz Center for Computational Neuroscience, Inst. for Neural Computation, UCSD.
• Available as a plug-in for EEGLAB.
• GUI-driven or scriptable via MATLAB script.
• Facilitates rapid prototyping and evaluation of novel BCI paradigms.
• API support for real-time processing.
• Includes support for custom extensions.
• Supports batch processing for large study analysis.
Qusp Role: Christian Kothe developed BCILAB during his previous position at the Swartz Center for Computational Neuroscience, Inst. for Neural Computation, UCSD.
• Provides robust statistical measures of the spatial consistency of EEG dynamics across datasets.
• Available as a plug-in for EEGLAB.
• Transforms EEG into a 3-D cortical mapping method with near-cm resolution.
• Interactive cluster visualization and processing.
• Probabilistic multi-subject EEG independent component source comparison and inference.
Qusp Role: Nima Bigdely-Shamlo developed MPT during his PhD studies at the Swartz Center for Computational Neuroscience, Inst. for Neural Computation, UCSD.
• Open source MIT License.
• Provides unified collection of measurement time series over a network.
• Widely adopted by neurophysiological measurement device manufacturers.
• Sub-millisecond synchronization capable on typical LANs.
• Extensive range of supported measurement modalities including eye trackers, EEG systems, motion capture devices, keyboards, mice, trackballs, force plates and multimedia hardware.
• Provides a standard interface for data acquisition integration.
Qusp Role: Christian Kothe developed LSL during his previous position at the Swartz Center for Computational Neuroscience, Inst. for Neural Computation, UCSD.
• Built on well-established community supported ontologies for experimental neuroscience.
• Extensible, user friendly event description system.
• Tools available for tagging, visualization, autocompletion and comparison.
• Simplifies data mining over large experimental data sets.
Qusp Role: Qusp is the primary curator of HED standard. Open source HED tools are developed jointly by Prof. Kay Robbins (Univ. Texas, San Antonio) and Qusp.
EEG Study Schema (ESS) makes it easier for researcher in the field of EEG/BCI to package, share and automatize the analysis workflow of their study data.You can think of ESS as a “shipping container” for your EEG study data.• An XML-based specification
• Holds all the information necessary to analyze an EEG study: task and paradigm description, recording parameters, sensor locations, gender, handedness, age and group associations of subjects.
• Contains a table of HED tags for event codes.
• Both human- and machine-readable. The XML file may be readily formatted into a readable description of the EEG study.
Qusp Role: Qusp is the curator of ESS standard and the developer of open source ESS tools. The standardized EEG processing pipeline (PREP) is developed jointly by Prof. Kay Robbins (UTSA) and Qusp.
Qusp is a founding member of the BigEEG Consortium™ whose goal is to promote and facilitate large-scale analysis (e.g. meta-study) of EEG and other data modalities related to real-world neuroimaging. This is implemented through developing open standards and tools for event tagging and meta-data encapsulation, along with providing publicly available standardized data and workflows.Currently, there are two major standards being promoted by the consortium:
• Hierarchical Event Descriptor (HED) tags. For describing experimental and real-world events. See www.hedtags.org
• EEG Experiment Schema (ESS). For encapsulating EEG study meta-data. See www.eegstudy.org
For a list of studies currently available in ESS format please visit: www.studycatalog.org
In addition to these, we have released a standard EEG pre-processing toolbox for noisy channel detection and robust referencing, called PREP: http://vislab.github.io/EEG-Clean-Tools/
Qusp Role: Qusp is a leading developer of ESS and HED technologies, and a founding member of the BigEEG Consortium™ along with Prof. Kay Robbins of UTSA.
• A free web service for remote visualisation of real-time sensor data.
• High sample rate, low latency streaming.
• Supports public and private sensor streams.
• Duplex stream transmission capable.
• Serial-to-socket transmission support.
• No server side coding required.
• Proxies, NATs and Firewall safe.
Qusp Role: Prior to joining Syntrogi, Aaron McCoy and Tomas Ward created SensorMonkey.
• Synchronous measurement of brain signals, behavior and environmental events.
• Supports a large and growing number of measurement devices and technologies.
• Native data structures for multi-modal, heterogeneously sampled, multiple data streams.
• Designed for computationally efficient processing of very large multi-modal datasets.
Qusp Role: Alejandro Ojeda developed MobiLab during his previous position at the Swartz Center for Computational Neuroscience, Inst. for Neural Computation, UCSD.
• Extensible plug in architecture facilitates third party toolbox enhancements.
• Integrated independent component analysis processing.
• Multi-format data importing/exporting.
• Interactive data visualization functions.
• Automated artifact rejection capabilities.
• Forward and inverse source modeling.
• GUI-driven or completely scriptable via Matlab.
Qusp Role: Members of Qusp’s founding team contributed substantially to the development and maintenance of the open source EEGLAB project during their previous positions at the Swartz Center for Computational Neuroscience, Inst. for Neural Computation, UCSD. Qusp members are frequent faculty in EEGLAB workshops worldwide.