Christian Gossens

Human Activity Recognition from Sensor-Based Large-Scale Continuous Monitoring of Parkinson’s Disease Patients

Liping Jin, Detlef Wolf, Martin Koller, 2017, 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).

Large-Scale Continuous Mobility Monitoring of Parkinson's Disease Patients Using Smartphones

Liping Jin, Detlef Wolf, Martin Koller, 2017, MobiHealth.

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

Huy Phan, Michael Lindemann, John Prince, 2020, IEEE Transactions on Biomedical Engineering.

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

Michael Lindemann, Alf Scotland, Florian Lipsmeier, 2020, Sensors.

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

Alan K. Bourke, Maarten De Vos, Alf Scotland, 2020, IEEE Journal of Biomedical and Health Informatics.

Remote Digital Biomarker Monitoring Bringing a smartphonebased diagnostic test for Parkinson's Disease progression into an interventional trial

Christian Gossens, 2015 .

Look me in the eye: evaluating the accuracy of smartphone-based eye tracking for potential application in autism spectrum disorder research

Maarten De Vos, Florian Lipsmeier, Christian Gossens, 2019, Biomedical engineering online.

Smartphone-based continuous mobility monitoring of Parkinsons disease patients reveals impacts of ambulatory bout length on gait features

Martin Koller, Anirvan Ghosh, Wei-Yi Cheng, 2017, 2017 IEEE Life Sciences Conference (LSC).