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Selection of dominant voice features for accurate detection..:
, In:
2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII)
,
Chandrayan, Spriha
;
Agarwal, Aarushi
;
Arif, Mohammad
. - p. 1-4 , 2017
Link:
https://doi.org/10.1109/ICBSII.2017.8082297
RT T1 <cTitle>2017 Third International Conference on Biosignals, Images and Instrumentation (ICBSII)</cTitle>: T1 <Title>Selection of dominant voice features for accurate detection of Parkinson's disease</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8082297&Exemplar=1&LAN=DE A1 Chandrayan, Spriha A1 Agarwal, Aarushi A1 Arif, Mohammad A1 Sahu, Sitanshu S. YR 2017 K1 Support vector machines K1 Parkinson's disease K1 Speech K1 Feature extraction K1 Jitter K1 Biomedical imaging K1 Entropy K1 Parkinson's disease (PD) K1 Support Vector Machine (SVM) K1 Factor analysis SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/ICBSII.2017.8082297 DO https://doi.org/10.1109/ICBSII.2017.8082297 SF ELIB - SuUB Bremen
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