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1 Ergebnisse
1
Machine Learning-Based Approaches for Tandem Romberg Test o..:
, In:
2024 10th International Conference on Applied System Innovation (ICASI)
,
Tsai, Yuan-Hua
;
Li, Ju-Hsuan
;
Lin, Yen-Chen
.. - p. 211-213 , 2024
Link:
https://doi.org/10.1109/ICASI60819.2024.10548001
RT T1 <cTitle>2024 10th International Conference on Applied System Innovation (ICASI)</cTitle>: T1 <Title>Machine Learning-Based Approaches for Tandem Romberg Test of Vestibular Hypofunction Assessment Using Wearable Sensors</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10548001&Exemplar=1&LAN=DE A1 Tsai, Yuan-Hua A1 Li, Ju-Hsuan A1 Lin, Yen-Chen A1 Ting, Kuan-Chung A1 Chan, Chia-Tai YR 2024 SN 2768-4156 K1 Support vector machines K1 Radio frequency K1 Technological innovation K1 Machine learning algorithms K1 Feature extraction K1 Physiology K1 Planning K1 Tandem Romberg test K1 Vestibular disorder assessment K1 Wearable inertial sensor SP 211 OP 213 LK http://dx.doi.org/https://doi.org/10.1109/ICASI60819.2024.10548001 DO https://doi.org/10.1109/ICASI60819.2024.10548001 SF ELIB - SuUB Bremen
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