Mohammadreza Asghari Oskoei
Biomedical Engineering · 2007–2008
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 11 citations into it; #1,287 of 10,734 by trust here, #4,866 by citations
- Cognitive Neuroscience — 11 citations into it; #3,927 of 10,852 by trust here, #6,902 by citations
- Cellular and Molecular Neuroscience — 8 citations into it; #466 of 2,998 by trust here, #1,454 by citations
Whom Mohammadreza Asghari Oskoei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Mohammadreza Asghari Oskoei overall
- Angkoon Phinyomark
- Chusak Limsakul
- Pornchai Phukpattaranont
- Rami N. Khushaba
- Nurhazimah Nazmi
- Jawad Nagi
- Rubana H. Chowdhury
- Franck Quaine
- U. Côté-Allard
- Dario Farina
Papers from Mohammadreza Asghari Oskoei's perspective
Ordered by how strongly the researchers Mohammadreza Asghari Oskoei trusts endorse each paper. Same corpus, a different order for every researcher.
- A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses (IEEE Transactions on Biomedical Engineering)
- A wavelet-based continuous classification scheme for multifunction myoelectric control (IEEE Transactions on Biomedical Engineering)
- Continuous myoelectric control for powered prostheses using hidden Markov models (IEEE Transactions on Biomedical Engineering)
- A robust, real-time control scheme for multifunction myoelectric control (IEEE Transactions on Biomedical Engineering)
- Time-frequency analysis of myoelectric signals during dynamic contractions: a comparative study (IEEE Transactions on Biomedical Engineering)
- Speaker identification and verification using Gaussian mixture speaker models
- Speaker Verification Using Adapted Gaussian Mixture Models
- Robust text-independent speaker identification using Gaussian mixture speaker models
- An overview of automatic speaker recognition technology (IEEE International Conference on Acoustics, Speech, and Signal Processing)
- Extracting Simultaneous and Proportional Neural Control Information for Multiple-DOF Prostheses From the Surface Electromyographic Signal (IEEE Transactions on Biomedical Engineering)
Their papers
- Myoelectric control systems - A survey (2007) — 1,251 citations
- Support Vector Machine-Based Classification Scheme for Myoelectric Control Applied to Upper Limb (2008) — 811 citations