Tele-Assessment: Leveraging Deep Learning to Assess Upper Limb Kinematics after Stroke with Off-the-shelf Webcams

At a glance

Project leader : Andreas Luft, Martina Spiess
Deputy of project leader : Verena Klamroth-Marganska
Project team : Elena Gavagnin, Benjamin Kühnis, Lena Sauerzopf, Josef Schönhammer, Tim Unger, Alexandre de Spindler
Project status : completed
Funding partner : Public sector (excl. federal government) (Kanton Zürich / Digitalisierungsinitiative DIZH (Innovationsprogramm))
Project partner : Universitätsspital Zürich
Contact person : Martina Spiess

Description

We are developing and validating a camera-based compensation classifier ("3C") for tele-neurorehabilitation to distinguish normal arm movements from those with compensation. The algorithm can be used with a webcam alone or in combination with an inertial measurement unit (IMU). This method improves tele-rehabilitation and increases the recovery process of clients.

Further information

Publications

Unger, T.; de Sousa Ribeiro, R.; Mokni, M.; Weikert, T.; Pohl, J.; Schwarz, A.; Held, J.P.O.; Sauerzopf, L.; Kühnis, B.; Gavagnin, E.; Luft, A.R.; Gassert, R.; Lambercy, O.; Awai Easthope, C.; Schönhammer, J.G.,

2024.

Upper limb movement quality measures : comparing IMUs and optical motion capture in stroke patients performing a drinking task.

Frontiers in Digital Health.

6(1359776).

Available from: https://doi.org/10.3389/fdgth.2024.1359776
Sauerzopf, Lena,

2022.

Promoting telerehabilitation after stroke : applications of assessments and intervention in occupational therapy.

In:

26th European Network of Occupational Therapy in Higher Education Annual Meeting (ENOTHE), Tbilisi, Georgia,14-16 October 2022.
Sauerzopf, Lena; Luft, Andreas; Spiess, Martina,

2022.

Implementation of tools for technology-based teleassessment of sensorimotor recovery after stroke.

In:

19th International Medical Ph.D. Conference, Hradec Králové, Czech Republic, 24-25 November 2022.

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