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

Step 1

Upload Patient Data

Hospitals securely upload Multimodal Archives, EEG Files, Medical Record Exports, and Images to the cloud.

Step 2

Centralized Storage & Data Management

Data is stored, organized, and managed on our secure cloud platform.

Step 3

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

  • 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.

  • 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.

  • 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.

  • 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.

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Discover Smarter Data for Better Patient Care

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. 

Moberg Mobile Platform

For your convenience

Moberg Mobile Platform is a standalone multimodal solution for near real-time neuromonitoring.