Research & Publications
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Research & Publications
Moberg Analytics is authoring ground-breaking research and publications with some of the top neurocritical care institutions, physicians, nurses, and researchers.
Moberg Analytics Research & Publications
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- 2025
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- 2022
- 2021
A Cloud-Based Platform for Data Management in Traumatic Brain Injury Clinical Trials (CONNECT): Progress from the MIND Workgroup
Stover, J., Maddux, C., et al., Moberg, D.
A Multimodal Monitoring Approach to Predicting Onset of Physiological Incidents Using Machine Learning
Moyer, E.J., Isozaki, I., Moberg, D.
A Multimodal Monitoring Approach to Predicting Onset of Physiological Incidents Using Machine Learning
Moyer, E.J., Isozaki, I., Moberg, D.
A Novel Annotation Tools Using Multimodality Neuromonitoring Data Superimposed with Clinically-Relevant Events for Machine Learning
Moyer, E.J., Kuoch, E., et al., Moberg, D.
A Robust Data Archive Format for Traumatic Brain Injury Physiology and Machine Learning: Progress from the MIND Workgroup
Sharma, G., Nooney, S., et al., Rosenthal, E.S.
A Taxonomy for Defining Derived Metrics in Neurocritical Care for Machine Learning
Gruen, V., Kenny, K., et al., Moyer, E.J.
Advancing InTBIR's Goals: A Platform for Large0Scale Physiological Data Analytics
Moyer, E.J., Maddux, C., et al., Moberg, R.
Assessing the Clinical Value and Deployability of TBI Monitoring Technology for Prolonged Casualty Care
Gomba, M.A., Moyer, E.J., et al., Moberg, D.
Challenges and Opportunities in Multimodal Monitoring and Data Analytics in Traumatic Brain Injury
Foreman, B., Lissak, I.A., et al., Rosenthal, E.S.
Comparison of NIRS-derived MAPopt Between ICM+ and Moberg Analytics in Pediatric Post-Cardiac Arrest Patients.
Moyer, E.J., Moberg, R., et al., Keenan, S.
Comparison of NIRS-derived MAPopt Between ICM+ and Moberg Analytics in Pediatric Post-Cardiac Arrest Patients.
Moyer, E.J., Moberg, R., et al., Keenan, S.
Comparison of NIRS-Derived MAPopt Between Moberg Analytics and ICM+ in Pediatric Post-Cardiac Arrest Patients
Moore, J., Moyer, E.J., et al., Kirschen, M.
CONNECT: A Platform for High-Resolution Multimodal Data Management for Clinical Trials of Brain Injured Patients
Moyer, E.J., Maddux, C., et al., Moberg, D.
Data Anonymization for Cloud-Based Storage of an Extensible Archive Format in Neurocritical Care
Gruen, V., Kenny, K., et al., Moyer, E.J.
Decision Support in Neurocritical Care Driven by Real-Time Physiology
Moyer, E.J., Maddux, C., et al., Moberg, D.
Development and Validation of an Open-Source Optimum Cerebral Perfusion Pressure Tool to Guide Precision Care in Every Traumatic Brain Injury
Sharma, G., Olson, D.M., et al., Rosenthal, E.S.
Development of a TBI Navigator: Multimodal Assessment and Monitoring to Enhance TBI Management in Role 1 of Care.
Moyer, E.J., Moberg, R., et al., Keenan, S.
Development of the Autonomous Communications Medical Ecosystem (ACME): A Multimodal Sensor Suite for Passive Data Collection During Combat Casualty Care.
Moyer, E.J., Moberg, R., et al., Keenan, S.
Enhancing the Interoperability and AI Readiness of Neurocritical Care Data
Moyer, E.J., Lawrence, S., et al., Moberg, D.
Extracting Meaning from Neurocritical Care Annotations Requires a Brain Injury-Specific Natural Language Processing Vocabulary: Progress from the MIND Workgroup
Sharma, G., Olson, D.M., et al., Rosenthal, E.S.
Harmonization of Physiological Data in Neurocritical Care: Challenges and a Path Forward
Elmer, J., He, Z., [...], Hirsch, K.G., PRECICECAP Study Team
Integration of High-Resolution Multimodal Neuromonitoring Data and Hospital EMR for Automated Near Real-Time Patient Care Reports
Maddux, C., Kirschen, M., et al., Moberg, D.
Methodology of Measuring the Precise Temporal-Spatial Behavior of Electrographic Seizures in Full Term Newborns with Arterio-Ischemic Strokes
Fung, F., Moyer, E.J., et al., Clancy, R.R.
MIND Collaborative Effort to Developing Meaning from Annotated Data During Continuous Multimodal Monitoring
Foreman, B., Lissak, I.A., et al., Rosenthal, E.S.
Pitfalls and Possibilities of Using Root SedLine for Continuous Assessment of EEG Waveform-Based Metrics in Intensive Care Research
Bögli, S.Y., Cherchi, M.S., et al., Smielewski, P.
Precision Care in Cardiac Arrest ICECAP (PRECICECAP) Study Protocol and Informatics Approach
Elmer, J., He, Z., [...], Hirsch, K.G., PRECICECAP Study Team
Predicting the Trajectory of Intracranial Pressure in Patients with Traumatic Brain Injury: Evaluation of a Foundation Model for Time Series
Van Leeuwen, F.D., Bhattacharyay, S., et al., Moberg, R.
Semi-Automatic Pediatric Multimodal Neuromonitoring Reports
Moyer, E.J., Kuoch, E., et al., Moberg, D.
The Development of a TBI Navigator to Augment Management of Brain Injured Patients in Austere Environments
Moyer, E.J., Maddux, C., et al., Moberg, R.
The Severity and Persistence of Neurological Deterioration are Associated with Clinical Outcome: Progress from the MIND Workgroup
Sharma, G., Nooney, S., et al., Rosenthal, E.S.
Towards the Management of Ground Truth Consensus-Based Knowledge in Neurocritical Care
Maddux, C., Kirschen, M., et al., Moberg, D.
Using Contextual Data to Enhance Machine Learning in Traumatic Brain Injury
Goldblum, Z., Olson, D., et al., Moberg, D.
Using Physiological Biomarkers to Optimize Management of TBI in Austere Environments
Moberg, D., Moyer, E.J., et al., Jarema, D.