Christian Gossens - Publications

Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones.

Journal: IEEE journal of biomedical and health informatics

Published: May 03, 2023

Use of smartphone-based remote assessments of multiple sclerosis in Floodlight Open, a global, prospective, open-access study.

Journal: Scientific reports

Published: November 04, 2022

Preliminary validity of the Draw a Shape Test for upper extremity assessment in multiple sclerosis.

Journal: Annals of clinical and translational neurology

Published: June 23, 2022

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

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 11, 2021

A Remote Digital Monitoring Platform to Assess Cognitive and Motor Symptoms in Huntington Disease: Cross-sectional Validation Study.

Journal: Journal of medical Internet research

Published: August 31, 2021

A smartphone sensor-based digital outcome assessment of multiple sclerosis.

Journal: Multiple sclerosis (Houndmills, Basingstoke, England)

Published: July 14, 2021

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.

Journal: Sensors (Basel, Switzerland)

Published: August 13, 2020

Smartphone- and Smartwatch-Based Remote Characterisation of Ambulation in Multiple Sclerosis During the Two-Minute Walk Test.

Journal: IEEE journal of biomedical and health informatics

Published: August 06, 2020

Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones.

Journal: IEEE transactions on bio-medical engineering

Published: April 24, 2020

Smartphone-based remote assessment of upper extremity function for multiple sclerosis using the Draw a Shape Test.

Journal: Physiological measurement

Published: April 08, 2020

U-turn speed is a valid and reliable smartphone-based measure of multiple sclerosis-related gait and balance impairment.

Journal: Gait & posture

Published: October 29, 2019

Correction: Adherence and Satisfaction of Smartphone- and Smartwatch-Based Remote Active Testing and Passive Monitoring in People With Multiple Sclerosis: Nonrandomized Interventional Feasibility Study.

Journal: Journal of medical Internet research

Published: September 17, 2019