Martin Ullrich

Herzogenaurach, BY, Germany

Last Updated: 09/26/2026

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Found 25 publications

Wearable-based estimation of continuous 3D knee moments during running using a convolutional neural network.

Wearable-based estimation of continuous 3D knee moments during running using a convolutional neural network.

Journal: Sports biomechanics

Published: March 24, 2025

Author Correction: Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device.

Author Correction: Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device.

Journal: Scientific reports

Published: November 21, 2024

Clustering Runners' Response to Different Midsole Stack Heights: A Field Study.

Clustering Runners' Response to Different Midsole Stack Heights: A Field Study.

Journal: Sensors (Basel, Switzerland)

Published: June 21, 2024

Correction: Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium.

Correction: Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium.

Journal: Journal of neuroengineering and rehabilitation

Published: May 03, 2024

Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study.

Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study.

Journal: JMIR formative research

Published: July 25, 2023

Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases.

Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases.

Journal: Frontiers in neurology

Published: June 26, 2023

Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device.

Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device.

Journal: Scientific reports

Published: May 22, 2023

Automated assessment of foot elevation in adults with hereditary spastic paraplegia using inertial measurements and machine learning.

Automated assessment of foot elevation in adults with hereditary spastic paraplegia using inertial measurements and machine learning.

Journal: Orphanet journal of rare diseases

Published: April 27, 2023

Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data.

Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data.

Journal: IEEE journal of biomedical and health informatics

Published: October 19, 2022

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium.

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium.

Journal: Journal of neuroengineering and rehabilitation

Published: September 21, 2022

Design and validation of a multi-task, multi-context protocol for real-world gait simulation.

Design and validation of a multi-task, multi-context protocol for real-world gait simulation.

Journal: Journal of neuroengineering and rehabilitation

Published: July 29, 2022

Real-World Stair Ambulation Characteristics Differ Between Prospective Fallers and Non-Fallers in Parkinson's Disease.

Real-World Stair Ambulation Characteristics Differ Between Prospective Fallers and Non-Fallers in Parkinson's Disease.

Journal: IEEE journal of biomedical and health informatics

Published: June 27, 2022

Showing 1-12 of 25

Last Updated: 09/26/2026