Michael Lindemann

According to our database, Michael Lindemann authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Machine Learning-Based Protection and Fault Identification of 100% Inverter-Based Microgrids.

Milad Beikbabaei, Michael Lindemann, Mohammad Heidari Kapourchali, Ali Mehrizi-Sani

Proceedings of the 33rd IEEE International Symposium on Industrial Electronics, 2024

2023

Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones.

Oliver Y. Chén, Florian Lipsmeier, Huy Phan, Frank Dondelinger, Andrew P. Creagh, Christian Gossens, Michael Lindemann, Maarten De Vos

IEEE J. Biomed. Health Informatics, July, 2023

Igniting Precision: Amplifying Wildfire Prediction in Diverse Regions via Teacher-Student Model Fusion.

Michael Lindemann, Kathleen DeMichele, Masoumeh Heidari Kapourchali, Mohammad Heidari Kapourchali, Christine F. Waigl, Erin Trochim, Long Zhao

Proceedings of the International Conference on Machine Learning and Applications, 2023

2021

Smartphone- and Smartwatch-Based Remote Characterisation of Ambulation in Multiple Sclerosis During the Two-Minute Walk Test.

Andrew P. Creagh, Cedric Simillion, Alan K. Bourke, Alf Scotland, Florian Lipsmeier, Corrado Bernasconi, Johan van Beek, Mike Baker, Christian Gossens, Michael Lindemann, Maarten De Vos

IEEE J. Biomed. Health Informatics, 2021

Beacon-Based Remote Measurement of Social Behavior in ASD Clinical Trials: A Technical Feasibility Assessment.

Lito Kriara, Joerg F. Hipp, Christopher Chatham, David Nobbs, David Slater, Florian Lipsmeier, Michael Lindemann

Sensors, 2021

Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones.

Andrew P. Creagh, Florian Lipsmeier, Michael Lindemann, Maarten De Vos

CoRR, 2021

Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disorders.

Guy Bogaarts, Mattia Zanon, Frank Dondelinger, Adrian Derungs, Florian Lipsmeier, Christian Gossens, Michael Lindemann

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones.

Oliver Y. Chén, Florian Lipsmeier, Huy Phan, John Prince, Kirsten I. Taylor, Christian Gossens, Michael Lindemann, Maarten De Vos

IEEE Trans. Biomed. Eng., 2020

Gait Characteristics Harvested during a Smartphone-Based Self-Administered 2-Minute Walk Test in People with Multiple Sclerosis: Test-Retest Reliability and Minimum Detectable Change.

Alan K. Bourke, Alf Scotland, Florian Lipsmeier, Christian Gossens, Michael Lindemann

Sensors, 2020

Outcome measures based on digital health technology sensor data: data- and patient-centric approaches.

Kirsten I. Taylor, Hannah Staunton, Florian Lipsmeier, David Nobbs, Michael Lindemann

npj Digit. Medicine, 2020

A quality metric for heart rate variability from photoplethysmogram sensor data.

Mattia Zanon, Lito Kriara, Florian Lipsmeier, David Nobbs, Christopher Chatham, Joerg F. Hipp, Michael Lindemann

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2017

Large-Scale Continuous Mobility Monitoring of Parkinson's Disease Patients Using Smartphones.

Wei-Yi Cheng, Florian Lipsmeier, Andrew Creigh, Alf Scotland, Timothy Kilchenmann, Liping Jin, Jens Schjodt-Eriksen, Detlef Wolf, Yan-Ping Zhang Schärer, Ignacio Fernández García, Juliane Siebourg-Polster, Jay Soto, Lynne Verselis, Meret Martin-Facklam, Frank Boess, Martin Koller, Michael Grundman, Andreas U. Monsch, Ron Postuma, Anirvan Ghosh, Thomas Kremer, Kirsten I. Taylor, Christian Czech, Christian Gossens, Michael Lindemann

Proceedings of the Wireless Mobile Communication and Healthcare, 2017

Human Activity Recognition from Sensor-Based Large-Scale Continuous Monitoring of Parkinson's Disease Patients.

Wei-Yi Cheng, Alf Scotland, Florian Lipsmeier, Timothy Kilchenmann, Liping Jin, Jens Schjodt-Eriksen, Detlef Wolf, Yan-Ping Zhang Schärer, Ignacio Fernández García, Juliane Siebourg-Polster, Jay Soto, Lynne Verselis, Meret Martin-Facklam, Frank Boess, Martin Koller, Michael Grundman, Andreas U. Monsch, Ron Postuma, Anirvan Ghosh, Thomas Kremer, Kirsten I. Taylor, Christian Czech, Christian Gossens, Michael Lindemann

Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017