Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 019 |
| Seitenumfang | 2 |
| Fachzeitschrift | Proceedings on Automation in Medical Engineering |
| Jahrgang | 1 |
| Ausgabenummer | 1 |
| Publikationsstatus | Veröffentlicht - 2020 |
| Extern publiziert | Ja |
Abstract
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in: Proceedings on Automation in Medical Engineering, Jahrgang 1, Nr. 1, 019, 2020.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Towards a homebased wrist range-of-motion training for children with cerebral palsy
AU - Mittag, Christina
AU - Leiss, Regina
AU - Lorenz, Katharina
AU - Seel, Thomas
N1 - Funding Information: The project SHArKi is supported by Federal Ministry of Education and Research (BMBF), FKZ: 13GW0296B. Conflict of interest: Authorsstate no conflict of interest. Informed consent: Informed consent has been obtained from all individuals included in this study. Ethical approval: The research related to human use complies with all the relevant national regulations, institutional policies and was performed in accordance with the tenets of the Helsinki Declaration.
PY - 2020
Y1 - 2020
N2 - This paper reports early-stage development results of a home-based gamified wrist rehabilitation training system for children with cerebral palsy (CCP). We propose a system composed of a wrist-worn inertial measurement unit (IMU) and a tangible device with an embedded IMU. We introduce a quaternion-based algorithm for real-time estimation of the range of motion (RoM) covered by adduction/abduction and flexion/extension motions of the wrist. Results of an initial proof-of-concept study with approximate groundtruth show that the RoM can be determined with sufficient accuracy. A gamification concept is proposed that aims at providingbiofeedback as well as motivating stimuli to CCP.
AB - This paper reports early-stage development results of a home-based gamified wrist rehabilitation training system for children with cerebral palsy (CCP). We propose a system composed of a wrist-worn inertial measurement unit (IMU) and a tangible device with an embedded IMU. We introduce a quaternion-based algorithm for real-time estimation of the range of motion (RoM) covered by adduction/abduction and flexion/extension motions of the wrist. Results of an initial proof-of-concept study with approximate groundtruth show that the RoM can be determined with sufficient accuracy. A gamification concept is proposed that aims at providingbiofeedback as well as motivating stimuli to CCP.
U2 - 10.18416/AUTOMED.2020
DO - 10.18416/AUTOMED.2020
M3 - Article
VL - 1
JO - Proceedings on Automation in Medical Engineering
JF - Proceedings on Automation in Medical Engineering
IS - 1
M1 - 019
ER -