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Development of an Embedded Device for Stroke Prediction via..:
, In:
2022 International Conference on Frontiers of Information Technology (FIT)
,
Baloch, Muhammad Usama
;
Ahmad, Mudassar
;
Ashraf, Rehan
. - p. 136-141 , 2022
Link:
https://doi.org/10.1109/FIT57066.2022.00034
RT T1 <cTitle>2022 International Conference on Frontiers of Information Technology (FIT)</cTitle>: T1 <Title>Development of an Embedded Device for Stroke Prediction via Artificial Intelligence-Based Algorithms</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10043044&Exemplar=1&LAN=DE A1 Baloch, Muhammad Usama A1 Ahmad, Mudassar A1 Ashraf, Rehan A1 Habib, Muhammad Asif YR 2022 K1 Performance evaluation K1 Stroke (medical condition) K1 Predictive models K1 Prediction algorithms K1 Real-time systems K1 Electromyography K1 Physiology K1 Embedded device management K1 Machine Learning K1 Stroke SP 136 OP 141 LK http://dx.doi.org/https://doi.org/10.1109/FIT57066.2022.00034 DO https://doi.org/10.1109/FIT57066.2022.00034 SF ELIB - SuUB Bremen
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