Michael Lindemann

Orcid: 0000-0003-1010-3890

According to our database1, Michael Lindemann authored at least 13 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Machine Learning-Based Protection and Fault Identification of 100% Inverter-Based Microgrids.
Proceedings of the 33rd IEEE International Symposium on Industrial Electronics, 2024

2023
Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones.
IEEE J. Biomed. Health Informatics, July, 2023

Igniting Precision: Amplifying Wildfire Prediction in Diverse Regions via Teacher-Student Model Fusion.
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.
IEEE J. Biomed. Health Informatics, 2021

Beacon-Based Remote Measurement of Social Behavior in ASD Clinical Trials: A Technical Feasibility Assessment.
Sensors, 2021

Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones.
CoRR, 2021

Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disorders.
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.
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.
Sensors, 2020

Outcome measures based on digital health technology sensor data: data- and patient-centric approaches.
npj Digit. Medicine, 2020

A quality metric for heart rate variability from photoplethysmogram sensor data.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2017

Human Activity Recognition from Sensor-Based Large-Scale Continuous Monitoring of Parkinson's Disease Patients.
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017


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