MOBERG ECOSYSTEM
MOBERG CLOUD PLATFORM
THE FUTURE OF MULTIMODAL DISCOVERY
Smarter Data Management
The Moberg Cloud Platform facilitates data management by aggregating and harmonizing data collected in the neuro ICU for multimodal research and clinical trial management. The cloud platform typically runs on commercial cloud platform, such as IBM, AWS, etc.
Moberg Cloud Platform
Core Capabilities
Secure Data Upload
Safely transfer patient data to the cloud in near real time—protected every step of the way.
Centralized Cloud-based Management
Access and manage all patient data streams from one secure platform.
Advanced Annotation and Review
Streamline data monitoring and boost trial efficiency from start to finish.
Collaborative Multivariate Analysis
Collaboratively analyze neuromonitoring data using the Sandbox’s powerful, customizable tools.
Efficient Research Study Oversight
Track progress, review data, and coordinate teams with centralized access and near real-time insights
Moberg Cloud Platform
How the Moberg Cloud Platform Powers Medical Research
Upload Patient Data
Hospitals securely upload Multimodal Archives, EEG Files, Medical Record Exports, and Images to the cloud.
Centralized Storage & Data Management
Data is stored, organized, and managed on our secure cloud platform.
Medical Research & Discovery
Researchers access the data to drive investigations and medical breakthroughs.
Moberg Cloud Platform
Core Features
Securely Upload Data
Upload large patient archives from days to weeks of high-resolution multimodal monitoring data (see Supported Data)
Securely store patient data on HIPAA- and GDPR-ready cloud data storage
Share data with individual accounts on a secure cloud environment
Archive Patient Records
Archive multimodal data across multiple hospital ICUs for research or clinical trials
Accelerate ongoing and subsidiary research efforts with an extensive patient database or repository
Facilitate efficient clinical trial oversight from small single-center studies to large multi-center trials (see Supported Research Studies)
Review Multimodal Data
Rapidly review multimodal data (vitals, processed EEG, autoregulation, Persyst displays)
Annotate data using customizable keyboard shortcuts shared between you and your team
Build profiles of displays to share between you and your team
Analyze Data
Analyze neuromonitoring data using collaborative industry standard frameworks and tools (see Programming Languages and Available Packages)
Kickstart your research projects by leveraging example notebooks (see Moberg Notebooks)
Generate custom multimodal reports by combining disparate data sources into cohesive figures that can be exported to the medical record
Control User Access
Organize multi-center data collection by tracking site- and use-specific contributions to the data pool
Manage data storage usage across projects or for different users.
Control data access according to easy-to-manage roles and permissions.
Moberg Cloud Platform
Supported Data
Multimodal Archives
(Moberg Data Aggregator, CNS Monitor, ICM+, etc.)
EEG Files
(Natus, Cadwell, EDF/EDF+, Persyst, etc.)
CSV
(Flowsheet, Medications, etc.)
Images
(DICOM)
Others supported on request
Moberg Cloud Platform
Programming Languages & Available Packages
Programming Languages
- Python 3.9.13 (numpy, pandas, scipy, scikit-learn, seaborn, conda, pycns)
- Julia 1.8.2, R 4.1.3
- Others available on request
Available Packages
- Data science libraries (numpy, pandas, scipy, scikit-learn, seaborn, conda, etc.)
- Modules to read and write Moberg CNS Monitor data (cns-utils, pycns)
- Validated neuromonitroing analysis libraries (moberg-dsp)
- Interface to multimodal database (database-utils)
- Others available on request
Moberg Cloud Platform
Moberg Notebooks
Database-Utils Tutorial
Introduces the database-utils module for accessing patient data and annotations from the Moberg Database
ICMH5 to CNS Conversion
Demonstrates how to convert data from ICM+ HDF5 output format to Moberg CNS format using our cns-utils library.
ABP Artifact Detection
Evaluates different algorithms for detecting artifacts in Arterial Blood Pressure (ABP) waveforms
ICP Forecasting
Creates a forecasting algorithm for Intracranial Pressure (ICP) by training a LSTM (Long Short Term Memory) neural network
Predicting Patient Outcomes
Implements a case-based reasoning (CBR) algorithm to predict intermediate endpoints for TBI patients
BOOST II Multi-Patient Animation
Creates a time-lapse animation using BOOST II ICP and PbtO2 data
Autoregulation
Demonstrates how to calculate autoregulation indices, such as PRx, CPPopt, COx, and MAPopt
The future of multimodal discovery
The Moberg Cloud Platform
A Cutting-edge, Neurocritical Care Data Tool
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Flexible, Remote Data Interaction
Remotely engage with multimodal neuro ICU data through an AI-powered platform. Securely upload patient data, annotate findings with precision, customize visualizations, and interact with data across research teams—all without heavy IT overhead.
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Smarter Clinical Trial Oversight
Simplify patient tracking and site collaboration for research studies. Manage enrollment and monitor data from multiple sites in one place, making oversight more efficient and boosting research productivity through easier data sharing.
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A Unified Gateway for Multimodal Data
Access centralized, harmonized datasets from anywhere, anytime. Give principal investigators, data scientists, and collaborators a single entry point to explore organized, multi-source neurocritical care data for streamlined analysis and decision-making.
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AI-Driven Analytics & Collaboration
Unlock insights with collaborative, multivariate analysis tools. Run AI algorithms, visualize complex relationships, and empower stakeholders with meaningful results—all while driving forward innovation in neurocritical care.
Clinical Trials and Research
Where the Moberg Cloud Platform Makes a Difference
2,123 patients total
TRACK-TBI
124 patients
SDII
33 patients
BOOSTII
114 patients
BOOST3
1100 patients
ELECTRO-BOOST
200 patients
AUTO-BOOST
250 patients
PRECICECAP
250 patients
INDICT
100 patients
University of Pennsylvania
62 patients
University of Cincinnati
271 patients
Children’s Hospital of Philadelphia
164 patients
Curing Coma Research Database
Currently enrolling
Your Hospital Institution Doesn’t Allow You to Store Patient Information in the Cloud? No Need to Worry!
Automatically convert proprietary data formats (e.g., Moberg CNS Monitor, Natus, etc.) to open-source and widely adopted data formats (CSV, HDF5, EDF+, etc.)
Automatically remove PHI/PII for hundred to thousands of patient archives at once.
Perform bulk de-identification and data conversion (and analysis) of patient data using our Moberg Analytics Client from your own local machine.
Discover More of the Moberg Ecosystem
Each Moberg platform is designed to work together seamlessly—enhancing your workflows, improving outcomes, and delivering smarter insights. Explore our other products to see how they can support and scale with your goals.
Moberg Clinical Platform
For your patients
Moberg Clinical Platform provides near real-time critical care neuromonitoring to aid in the early detection of secondary brain injury.Â
Moberg Mobile Platform
For your convenience
Moberg Mobile Platform is a standalone multimodal solution for near real-time neuromonitoring.