Hugo Hiden

Newcastle Upon Tyne, ENG NE45PL, United Kingdom

Last Updated: 09/26/2026

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Found 16 publications

Validation of an Algorithmic Pipeline for Wrist-Worn Devices to Estimate Walking Speed in People with Multiple Long-Term Conditions.

Validation of an Algorithmic Pipeline for Wrist-Worn Devices to Estimate Walking Speed in People with Multiple Long-Term Conditions.

Journal: Sensors (Basel, Switzerland)

Published: July 04, 2026

The future of clinical trials? Monitoring mobility as an outcome measure in Parkinson's disease: The mobilise-D study.

The future of clinical trials? Monitoring mobility as an outcome measure in Parkinson's disease: The mobilise-D study.

Journal: Journal of Parkinson's disease

Published: December 26, 2025

Privacy and personalisation: predicting Parkinson's disease severity from real-world gait with federated learning.

Privacy and personalisation: predicting Parkinson's disease severity from real-world gait with federated learning.

Journal: Frontiers in aging neuroscience

Published: December 12, 2025

Real-World Wrist-Derived Digital Mobility Outcomes in People with Multiple Long-Term Conditions: A Comparison of Algorithms.

Real-World Wrist-Derived Digital Mobility Outcomes in People with Multiple Long-Term Conditions: A Comparison of Algorithms.

Journal: Bioengineering (Basel, Switzerland)

Published: August 28, 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

Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients.

Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients.

Journal: JMIR formative research

Published: November 13, 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

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

Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization.

Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization.

Journal: Scientific data

Published: April 12, 2022

Showing 1-12 of 16

Last Updated: 09/26/2026