ERD

The e-Science Central Study Data Platform

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

Wearable sensors can reliably quantify gait alterations associated with disability in people with progressive multiple s...

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

"It's not about the capture, it's about what we can learn"": a qualitative study of experts' opinions and experiences re...

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

Walking-related digital mobility outcomes as clinical trial endpoint measures: protocol for a scoping review

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

Technologische innovationen in der Pneumonologie - Facetten aus Diagnostik und Therapie

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

Algorithms for Walking Speed Estimation Using a Lower-Back-Worn Inertial Sensor: A Cross-Validation on Speed Ranges

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

Next-generation digital tools for mobility in research & health

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

A deep learning model to discern indoor from outdoor environments based on data recorded by a tri-axial digital magnetic...

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

System performance analysis

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

uTUG: An unsupervised Timed Up and Go test for Parkinson’s disease

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

Inertial sensor-based gait parameters reflect patient-reported fatigue in multiple sclerosis

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

First study subject approvals

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

Multi-sensor integration and data fusion for enriching gait assessment In and Out of the laboratory

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

Mobility endpoints in marketing authorisation of drugs: what gets the European medicines agency moving?

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

A Quality Control Check to Ensure Comparability of Stereophotogrammetric Data between Sessions and Systems

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

Mobilise-D: Evaluering av gange og mobilitet på en innovativ måte

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

Computational modelling of the scoliotic spine: A literature review

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

Continuous mobility monitoring: what is currently missing for a widespread deployment in clinical and research settings?

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

Real-world speed estimation using single IMU: A conceptual framework

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

Performance of a multi-sensor wearable system for validating gait assessment: preliminary results on patients and health...

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People ...

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

Connecting real-world digital mobility assessment to clinical outcomes for regulatory and clinical endorsement–the Mob...

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

Accuracy of a multi-sensor system in stride parameters estimation: comparison of straight and curvilinear portions.

Project: MOBILISE-D

Updated at: 31-07-2023

Show more information

Project acronym MOBILISE-D

Resources

Selected filters:

The e-Science Central Study Data Platform

Wearable sensors can reliably quantify gait alterations associated with disability in people with progressive multiple s...

"It's not about the capture, it's about what we can learn"": a qualitative study of experts' opinions and experiences re...

Walking-related digital mobility outcomes as clinical trial endpoint measures: protocol for a scoping review

Technologische innovationen in der Pneumonologie - Facetten aus Diagnostik und Therapie

Algorithms for Walking Speed Estimation Using a Lower-Back-Worn Inertial Sensor: A Cross-Validation on Speed Ranges

Next-generation digital tools for mobility in research & health

A deep learning model to discern indoor from outdoor environments based on data recorded by a tri-axial digital magnetic...

System performance analysis

uTUG: An unsupervised Timed Up and Go test for Parkinson’s disease

Inertial sensor-based gait parameters reflect patient-reported fatigue in multiple sclerosis

First study subject approvals

Multi-sensor integration and data fusion for enriching gait assessment In and Out of the laboratory

Mobility endpoints in marketing authorisation of drugs: what gets the European medicines agency moving?

A Quality Control Check to Ensure Comparability of Stereophotogrammetric Data between Sessions and Systems

Mobilise-D: Evaluering av gange og mobilitet på en innovativ måte

Computational modelling of the scoliotic spine: A literature review

Continuous mobility monitoring: what is currently missing for a widespread deployment in clinical and research settings?

Real-world speed estimation using single IMU: A conceptual framework

Performance of a multi-sensor wearable system for validating gait assessment: preliminary results on patients and health...

Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People ...

Connecting real-world digital mobility assessment to clinical outcomes for regulatory and clinical endorsement–the Mob...

Accuracy of a multi-sensor system in stride parameters estimation: comparison of straight and curvilinear portions.