Publications

2024

• Torsobarography: Intra-Observer Reliability Study of a Novel Posture Analysis Based on Pressure DistributionStecher, N., Heinke, A., Żurawski, A. Ł., Harder, M. R., Schumann, P., Jochim, T. & Malberg, H., 24 Jan 2024, In: Sensors. 24, 3, 768Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Feasibility of a Shape-Memory-Alloy-Actuator System for Modular Acetabular CupsRotsch, C., Kemter-Esser, K., Dohndorf, J., Knothe, M., Drossel, W. & Heyde, C., 12 Jan 2024, In: Bioengineering. 11, 1, 75Electronic (full-text) versionResearch output: Contribution to journal > Research article
• Cardiovascular Diseases Inhibit the Activation of Cardio-Cerebral Coupling During ArousalsHohmuth, R., Müller, J., Malberg, H. & Schmidt, M., 2024, 4 p.Electronic (full-text) versionResearch output: Contribution to conferences > Paper
• Detecting Atrial Fibrillation from Reduced-Lead Electrocardiograms of Mobile Patches Using Interpretable FeaturesHammer, A., Schmitz, B., Malberg, H. & Schmidt, M., 2024, In: Computing in Cardiology. 51, p. 1-4Electronic (full-text) versionResearch output: Contribution to journal > Conference article
• Evaluation der KI-gestützten Arousal-Detektion auf der Basis von Schlaflabordaten im Vergleich zu öffentlichen Schlaflabordaten: Resultierende Empfehlungen für die Anwendung in der wissenschaftlichen PraxisEhrlich, F., Sehr, T., Brandt, M. D., Schmidt, M., Malberg, H., Sedlmayr, M. & Goldammer, M., 2024Research output: Contribution to conferences > Abstract
• Harmonisierung polysomnographischer Daten: die SleepHarmonizer ToolboxEhrlich, F., Sedlmayr, M. & Goldammer, M., 2024Research output: Contribution to conferences > Abstract
• Influence of Autonomic Nervous System Activity on Cerebral Autoregulation in Traumatic Brain InjuryGöttling, M., Meyer, B., Schwendner, M., Krieg, S., Tetschke, F., Malberg, H. & Schmidt, M., 2024, In: Computing in Cardiology. 51, 4 p.Electronic (full-text) versionResearch output: Contribution to journal > Conference article
• Morphology Features Self-Learned by Explainable Deep Learning for Atrial Fibrillation Detection Correspond to Fibrillatory WavesHammer, A., Malberg, H. & Schmidt, M., 2024, In: Computing in Cardiology. 51, p. 1-4, 4 p.Electronic (full-text) versionResearch output: Contribution to journal > Conference article
• Towards Remote Blood Pressure Estimation Using RGB CamerasScherpf, M., Ernst, H., Malberg, H. & Schmidt, M., 2024, Preceedings of the 2024 Computing in Cardiology Conference. 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2023

• Assessing Brain Dynamics for Predicting Postanoxic Coma Recovery: An EEG Based ApproachGöttling, M., Hohmuth, R., Ehrlich, F., Ernst, H., Hammer, A., Scherpf, M. & Schmidt, M., 26 Dec 2023, 2023 Computing in Cardiology (CinC). Institute of Electrical and Electronics Engineers (IEEE), 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution