Walter Maetzler

Orcid: 0000-0002-5945-4694

According to our database1, Walter Maetzler authored at least 23 papers between 2008 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Gait Variability as a Potential Motor Marker of Cerebellar Disease - Relationship between Variability of Stride, Arm Swing and Trunk Movements, and Walking Speed.
Sensors, June, 2024

2023
Pilot Study: Magnetic Motion Analysis for Swallowing Detection Using MEMS Cantilever Actuators.
Sensors, April, 2023

Step-Counting Accuracy of a Commercial Smartwatch in Mild-to-Moderate PD Patients and Effect of Spatiotemporal Gait Parameters, Laterality of Symptoms, Pharmacological State, and Clinical Variables.
Sensors, 2023

Identification of Fatigue and Sleepiness in Immune and Neurodegenerative Disorders from Measures of Real-World Gait Variability.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts.
Sensors, 2022

Fear of Falling Does Not Influence Dual-Task Gait Costs in People with Parkinson's Disease: A Cross-Sectional Study.
Sensors, 2022

Scoring the Sit-to-Stand Performance of Parkinson's Patients with a Single Wearable Sensor.
Sensors, 2022

Reliability of IMU-Derived Temporal Gait Parameters in Neurological Diseases.
Sensors, 2022

Full-Body Mobility Data to Validate Inertial Measurement Unit Algorithms in Healthy and Neurological Cohorts.
Data, 2022

Fatigue and Sleep Assessment using Digital Sleep Trackers: Insights from a Multi-Device Pilot Study.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Step Length Is a Promising Progression Marker in Parkinson's Disease.
Sensors, 2021

Proposed Mobility Assessments with Simultaneous Full-Body Inertial Measurement Units and Optical Motion Capture in Healthy Adults and Neurological Patients for Future Validation Studies: Study Protocol.
Sensors, 2021

Active Magnetoelectric Motion Sensing: Examining Performance Metrics with an Experimental Setup.
Sensors, 2021

Comparison of Laboratory and Daily-Life Gait Speed Assessment during ON and OFF States in Parkinson's Disease.
Sensors, 2021

Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes.
npj Digit. Medicine, 2021

2020
Classification of Neurological Patients to Identify Fallers Based on Spatial-Temporal Gait Characteristics Measured by a Wearable Device.
Sensors, 2020

Quantification of Arm Swing during Walking in Healthy Adults and Parkinson's Disease Patients: Wearable Sensor-Based Algorithm Development and Validation.
Sensors, 2020

Toward a Regulatory Qualification of Real-World Mobility Performance Biomarkers in Parkinson's Patients Using Digital Mobility Outcomes.
Sensors, 2020

Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders.
Sensors, 2020

Wearable Health Technology to Quantify the Functional Impact of Peripheral Neuropathy on Mobility in Parkinson's Disease: A Systematic Review.
Sensors, 2020

2019
Machine Learning to Detect Alzheimer's Disease from Circulating Non-coding RNAs.
Genom. Proteom. Bioinform., 2019

2012
Using multi-dimensional dynamic time warping for TUG test instrumentation with inertial sensors.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2012

2008
[<sup>11</sup>C]PIB binding in Parkinson's disease dementia.
NeuroImage, 2008


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