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1 Ergebnisse
1
The Identification of Significant Mechanomyography Time-Dom..:
, In:
Lecture Notes in Electrical Engineering; Recent Trends in Mechatronics Towards Industry 4.0
,
Mohamed, Tarek Mohamed Mahmoud Said
;
Abdullah, Muhammad Amirul
;
Alqaraghuli, Hasan
... - p. 313-319 , 2021
Link:
https://doi.org/10.1007/978-981-33-4597-3_29
RT T1
Lecture Notes in Electrical Engineering; Recent Trends in Mechatronics Towards Industry 4.0
: T1
The Identification of Significant Mechanomyography Time-Domain Features for the Classification of Knee Motion
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-981-33-4597-3_29&Exemplar=1&LAN=DE A1 Mohamed, Tarek Mohamed Mahmoud Said A1 Abdullah, Muhammad Amirul A1 Alqaraghuli, Hasan A1 Musa, Rabiu Muazu A1 Nasir, Ahmad Fakhri Ab. A1 Mohd Razman, Mohd Azraai A1 Bajuri, Mohd Yazid A1 P. P. Abdul Majeed, Anwar PB Springer Singapore YR 2021 SP 313 OP 319 LK http://dx.doi.org/https://doi.org/10.1007/978-981-33-4597-3_29 DO https://doi.org/10.1007/978-981-33-4597-3_29 SF ELIB - SuUB Bremen
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