The fusion of HRV and EMG signals for automatic gender recognition during stepping exercise
In this paper, a new gender recognition framework based on fusion of features extracted from healthy people electromyogram (EMG) and heart rate variability (HRV) during stepping activity using a stepper machine is proposed. An approach is investigated for the fusion of EMG and HRV which is feature f...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Ahmad Dahlan
2017
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/75642/1/NorAziyatulIzni_TheFusionofHRVandEMGSignals.pdf http://eprints.utm.my/id/eprint/75642/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017388889&doi=10.12928%2fTELKOMNIKA.v15i2.6113&partnerID=40&md5=f409dfb99a8a377a0805ffd032cf0e25 |
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