MOBERG ECOSYSTEM
Moberg Clinical Platform
The Future of Multimodal Neuromonitoring
Near Real-Time Data for Precision Neurocritical Care
The Moberg Clinical Platform enables precision medicine by leveraging data acquired at the bedside to inform individualized care and quality improvement. It typically runs behind the hospital firewall and is accessible within the hospitals intranet.
Moberg Clinical Platform
Core Capabilities
Comprehensive Data Capture
Capture all vital patient signals and clinical events in one synchronized system.
Integrated Multimodal Displays
Combine multiple data streams—like EEG, vitals, and video—into one easy-to-read display.
Extensive Next-gen Analytics
Built-in tools analyze high-resolution data to reveal trends, detect patterns, and support clinical decisions.
Individualized multimodal neuromonitoring
Tailor neuromonitoring by integrating multiple data types to meet each patient's specific needs.
Collaborative Multivariate Analysis
Collaboratively analyze neuromonitoring data using the Sandbox’s powerful, customizable tools.
Moberg Clinical Platform
How the Moberg Clinical Platform Informs Your Decisions
Collect Data
The Clinical Platform collects real-time physiological and neurological data at the bedside.
Organize & Display Information
Data from multiple devices is synchronized, visualized, and stored in one unified system.
Help Doctors Make Better Decisions
Clinicians use the platform to monitor patients, guide treatment, and improve outcomes.
Moberg Clinical Platform
Core Features
Aggregate Device Data
Collect data from FDA-cleared devices using a virtual server or standalone setup.
Sync and combine ICU data from monitors, EMRs, and third-party systems in one place.
Capture and access multimodal data automatically across the entire ICU.
Archive Patient Records
Access patient data anytime on hospital smartphones or tablets.
Support prevention and treatment of secondary brain injury with specialized neurocritical care apps.
Track trends and build a structured, multimodal database from supported devices.
Review Multimodal Data
Review multimodal data in near real-time… Analyze raw and processed EEG alongside multimodal trends in one view.
Review and chart patient data efficiently with backward access during acquisition.
Access centralized data for fast, informed decisions at the bedside or remotely.
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
Customize dashboards and scale system access across single beds or entire ICUs.
Enable timely interventions with flexible bedside and remote displays.
Deploy advanced algorithms and detection tools to support critical decision-making.
Moberg Clinical Platform
Supported Device List
Philips IntelliVue
(MP 20-90 and MX series)
Requires MIB/RS232 Interface (J13) or Advanced System Interface (J40)
GE CARESCAPE
(B650, B850, Canvas 1000)
Moberg CNS Monitors
(CNS-2xx, CNS-3xx)
Devices Coming Soon
Others available on request
Draeger Infinity®
(Delta, IACS)
Sickbay Clinical Platform
ICM+
Edwards ForeSight
(MC-2000 Series)
Integra Licox®
(LCX02, CMP AC31)
Integra CereLink®
(CMP AC31)
Medtronic INVOS™
(5100B, 5100C, PM7100)
Natus Camino®
(CAM01, MPM-1, CAM02)
Nonin® SenSmart
(X-100)
Raumedic®
(MPR2 logO, NeuroSmart® logO)
Sophysa Pressio® 2
(PSO-4000)
Hemedex Bowman Perfusion Monitor
(Bowman 500)
Multigon / Delica TCD System
(US: ROBOTOC9MD / Int'l: EMS-9D)
NeurOptics® Pupillometer
(NPi®-200, NPi®-300)
ANT Neuro eego™8, eego™24, eego™64
Cadwell Essentia/Arc
Natus NeuroWorks EEG
Brain4care
Moberg Clinical 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 Clinical 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 neuromonitoring
The Moberg Clinical Platform
A Multi-purpose, Revolutionary Clinical Tool
Request a Demo
Discover Smarter Data for Better Patient Care
*The Moberg Clinical Platform is pending FDA clearance.*
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 Cloud Platform
For your data
Moberg Cloud Platform is a multi-center data repository of patient data acquired via a variety of medical devices, patient monitors, and hospital medical records.
Moberg Mobile Platform
For your convenience
Moberg Mobile Platform is a standalone multimodal solution for near real-time neuromonitoring.
