Angkoon Phinyomark

Biomedical Engineering · 2009–2018

A researcher in the Science corpus: 6 papers; trusts 14 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Biomedical Engineering — 30 citations into it; #3,682 of 10,734 by trust here, #6,028 by citations
• Cellular and Molecular Neuroscience — 24 citations into it
• Cognitive Neuroscience — 21 citations into it; #4,562 of 10,852 by trust here, #5,528 by citations

Whom Angkoon Phinyomark trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Mohammadreza Asghari Oskoei
2. Kevin B. Englehart
3. Huosheng Hu
4. David L. Donoho
5. B. Hudgins
6. Chih-Jen Lin
7. Shlomo S. Sawilowsky
8. Pornchai Phukpattaranont
9. Chusak Limsakul
10. Iain M. Johnstone

Who trusts Angkoon Phinyomark overall

1. U. Côté-Allard
2. Nurhazimah Nazmi
3. Rubana H. Chowdhury
4. Cheikh Latyr Fall
5. Yu-xin Zhang
6. Chusak Limsakul
7. Mohd Azizi Abdul Rahman
8. Pornchai Phukpattaranont
9. Mamun Bin Ibne Reaz
10. Rami N. Khushaba

Papers from Angkoon Phinyomark's perspective

Ordered by how strongly the researchers Angkoon Phinyomark trusts endorse each paper. Same corpus, a different order for every researcher.

1. A robust, real-time control scheme for multifunction myoelectric control (IEEE Transactions on Biomedical Engineering)
2. A wavelet-based continuous classification scheme for multifunction myoelectric control (IEEE Transactions on Biomedical Engineering)
3. A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses (IEEE Transactions on Biomedical Engineering)
4. Control of multifunctional prosthetic hands by processing the electromyographic signal. (Critical reviews in biomedical engineering)
5. Estimation of the Mean of a Multivariate Normal Distribution
6. Techniques of EMG signal analysis: detection, processing, classification and applications (Biological Procedures Online)
7. Decoding of Individuated Finger Movements Using Surface Electromyography (IEEE Transactions on Biomedical Engineering)
8. Myoelectric control systems - A survey (Biomedical Signal Processing and Control)
9. Sampling, noise-reduction and amplitude estimation issues in surface electromyography. (Journal of Electromyography & Kinesiology)
10. A Comparative Study of Wavelet Denoising for Multifunction Myoelectric Control (International Conference on Computer and Automation Engineering)

Their papers

• Feature reduction and selection for EMG signal classification (2012) — 1,514 citations
• EMG feature evaluation for improving myoelectric pattern recognition robustness (2013) — 628 citations
• A Novel Feature Extraction for Robust EMG Pattern Recognition (2009) — 423 citations
• Feature Extraction and Selection for Myoelectric Control Based on Wearable EMG Sensors (2018) — 317 citations
• Mean and Median Frequency of EMG Signal to Determine Muscle Force based on Time- dependent Power Spectrum (2013) — 143 citations
• A Comparative Study of Wavelet Denoising for Multifunction Myoelectric Control (2009) — 60 citations