Publikationstyp: Konferenz: Sonstiges
Art der Begutachtung: Peer review (Abstract)
Titel: Implementation of tools for technology-based teleassessment of sensorimotor recovery after stroke
Autor/-in: Sauerzopf, Lena
Luft, Andreas
Spiess, Martina
et. al: No
Angaben zur Konferenz: 19th International Medical Ph.D. Conference, Hradec Králové, Czech Republic, 24-25 November 2022
Erscheinungsdatum: 2022
Sprache: Englisch
Schlagwörter: Stroke; Tele-assessment; Telerehabilitation
Fachgebiet (DDC): 615.8515: Ergotherapie
616.8: Neurologie und Krankheiten des Nervensystems
Zusammenfassung: Introduction: Up to 75% of stroke survivors are affected by upper limb hemiparesis. To cope with these deficits those affected compensate with available motor strategies. Compensation movements are considered limiting factors for sensorimotor recovery after stroke. They may be beneficial in the short term to perform a task but lead to long-term problems such as increased muscle contractures. Therefore, there is an effort to detect and correct compensation strategies in rehabilitation after stroke. Telerehabilitation including technology-based services are an appropriate and effective way of providing therapeutic services. The presented project aims to summarise the evidence of existing technology-based teleassessments and to provide implications for practical and research use. A contribution will be made through the development of a tele-assessment of motor compensation, which will provide gold standards for the measurement of arm motor compensation after stroke. Methods: The first study is a systematic review on observational tele-assessments for clients after stroke. The literature search was conducted in the databases Embase, Medline, CINAHL, Cochrane, Scopus, Web of Science and IEEE. Studies looking at function-based or task-orientated assessments are assessed. In the second study we develop a webcam-based tele-assessment to detect motor compensation within a drinking task. Therefore, we include up to 50 patients with sensorimotor deficits after stroke who will perform up to 2000 repetitions of a drinking task. The technology is based on machine learning algorithms. We use kinematic metrics of movements, therapist visual assessments based on the data of webcam-based body key points (webcam and depth cameras) and sensors (IMUs). Results: The literature search resulted in 3318 hits which are currently being screened by two authors.The preliminary results of the development of the webcam-based tele-assessment show that the chosen set-up and data collection procedure work in the test run and are now ready to be used with participants after stroke. Discussion: The use of technology-based systems provides objective, reliable, valid, and cost-effective solutions of assessing the impact of stroke. With the literature review we will capture the state of research regarding objective teleassessments in stroke rehabilitation. The webcam-based assessment will take therapist-independent personalized training a step further. Conclusions: The research will contribute to the evidence for technology-based assessments in research and practice and provide standards for the detection of motor compensation and motor recovery after stroke. Acknowledgments: I thank Prof. Dr. med. Andreas Luft and Dr. Martina Spiess for supervising my PhD project, Prof. Dr. med. Armin Curt and Prof. Susanne Guidetti for valuable discussions and professional input as PhD committee members, and Prof. Dr. med Verena Klamroth-Marganska for supervising my first PhD year.
URI: https://digitalcollection.zhaw.ch/handle/11475/27050
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): Lizenz gemäss Verlagsvertrag
Departement: Gesundheit
Organisationseinheit: Institut für Ergotherapie (IER)
Publiziert im Rahmen des ZHAW-Projekts: Tele-Assessment: Nutzung von Deep Learning zur Beurteilung der Kinematik der oberen Gliedmassen nach Schlaganfall mit handelsüblichen Webcams
Enthalten in den Sammlungen:Publikationen Gesundheit

Dateien zu dieser Ressource:
Es gibt keine Dateien zu dieser Ressource.
Zur Langanzeige
Sauerzopf, L., Luft, A., & Spiess, M. (2022). Implementation of tools for technology-based teleassessment of sensorimotor recovery after stroke. 19th International Medical Ph.D. Conference, Hradec Králové, Czech Republic, 24-25 November 2022.
Sauerzopf, L., Luft, A. and Spiess, M. (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.
L. Sauerzopf, A. Luft, and M. Spiess, “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, 2022.
SAUERZOPF, Lena, Andreas LUFT und Martina SPIESS, 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. Conference presentation. 2022
Sauerzopf, Lena, Andreas Luft, and Martina Spiess. 2022. “Implementation of Tools for Technology-Based Teleassessment of Sensorimotor Recovery after Stroke.” Conference presentation. In 19th International Medical Ph.D. Conference, Hradec Králové, Czech Republic, 24-25 November 2022.
Sauerzopf, Lena, et al. “Implementation of Tools for Technology-Based Teleassessment of Sensorimotor Recovery after Stroke.” 19th International Medical Ph.D. Conference, Hradec Králové, Czech Republic, 24-25 November 2022, 2022.


Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt, soweit nicht anderweitig angezeigt.