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1 Ergebnisse
1
Machine Learning Approach for Motion Artifact Detection in ..:
, In:
Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare
,
Enayati, Moein
;
Farahani, Nasibeh Zanjirani
;
Skubic, Marjorie
- p. 406-410 , 2020
Link:
https://dl.acm.org/doi/10.1145/3421937.3421970
RT T1 <cTitle>Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare</cTitle>: T1 <Title>Machine Learning Approach for Motion Artifact Detection in Ballistocardiogram Signals</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3421970&Exemplar=1&LAN=DE A1 Enayati, Moein A1 Farahani, Nasibeh Zanjirani A1 Skubic, Marjorie PB ACM YR 2020 K1 Ballistocardiography K1 Feature Engineering K1 Machine Learning K1 Motion Artifact Detection K1 Computing methodologies K1 Machine learning K1 Machine learning algorithms K1 Applied computing K1 Life and medical sciences K1 Health care information systems K1 Feature selection SP 406 OP 410 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3421937.3421970 DO https://dl.acm.org/doi/10.1145/3421937.3421970 SF ELIB - SuUB Bremen
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