A metric for upper extremity functional range of motion analysis in long-term stroke recovery using wearable motion sensors and posture cubics

Derungs A, Schuster-Amft C, Amft O (2018)

Publication Type: Conference contribution

Publication year: 2018

Publisher: IEEE

City/Town: NEW YORK

Pages Range: 17-20

Conference Proceedings Title: 2018 IEEE 15TH INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI) AND THE WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN)

Event location: Las Vegas, NV US

DOI: 10.1109/bsn.2018.8329648

Authors with CRIS profile

Adrian Derungs Lehrstuhl für Digital Health Oliver Amft Lehrstuhl für Digital Health

Involved external institutions

Reha Rheinfelden CH Switzerland (CH)

How to cite

APA:

Derungs, A., Schuster-Amft, C., & Amft, O. (2018). A metric for upper extremity functional range of motion analysis in long-term stroke recovery using wearable motion sensors and posture cubics. In 2018 IEEE 15TH INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI) AND THE WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN) (pp. 17-20). Las Vegas, NV, US: NEW YORK: IEEE.

MLA:

Derungs, Adrian, Corina Schuster-Amft, and Oliver Amft. "A metric for upper extremity functional range of motion analysis in long-term stroke recovery using wearable motion sensors and posture cubics." Proceedings of the 15th International Conference on Biomedical and Health Informatics (BHI) and Wearable and Implantable Body Sensor Networks (BSN) of the IEEE-Engineering-in-Medicine-and-Biology-Society, Las Vegas, NV NEW YORK: IEEE, 2018. 17-20.

BibTeX: Download