Dario Farina

Biomedical Engineering · 2000–2017

A researcher in the Science corpus: 10 papers; trusts 10 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Biomedical Engineering — 39 citations into it; #2,622 of 10,734 by trust here, #3,410 by citations
• Cognitive Neuroscience — 28 citations into it; #3,747 of 10,852 by trust here, #3,133 by citations
• Cellular and Molecular Neuroscience — 27 citations into it
• Signal Processing — 6 citations into it
• Computational Mechanics — 5 citations into it

Whom Dario Farina trusts overall

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

1. Roberto Merletti
2. Ales Holobar
3. Kevin B. Englehart
4. Emilio Bizzi
5. Andrea d'Avella
6. Erik J. Scheme
7. Mohammadreza Asghari Oskoei
8. Ning Jiang
9. Roger M. Enoka
10. Frank C. Anderson

Who trusts Dario Farina overall

1. Roberto Merletti
2. François Hug
3. Dezhen Xiong
4. Ales Holobar
5. Ning Jiang
6. Manfredo Atzori
7. Wei-dong Geng
8. S. Dorel
9. Corrado Cescon
10. Daohui Zhang

Papers from Dario Farina's perspective

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

1. Sampling, noise-reduction and amplitude estimation issues in surface electromyography. (Journal of Electromyography & Kinesiology)
2. Extracting Simultaneous and Proportional Neural Control Information for Multiple-DOF Prostheses From the Surface Electromyographic Signal (IEEE Transactions on Biomedical Engineering)
3. EMGLAB: an interactive EMG decomposition program. (Journal of Neuroscience Methods)
4. Time-frequency analysis of myoelectric signals during dynamic contractions: a comparative study (IEEE Transactions on Biomedical Engineering)
5. Myoelectric control systems - A survey (Biomedical Signal Processing and Control)
6. EMG feature evaluation for improving myoelectric pattern recognition robustness (Expert systems with applications)
7. Electromyogram pattern recognition for control of powered upper-limb prostheses: state of the art and challenges for clinical use. (Journal of rehabilitation research and development)
8. Direct neural sensory feedback and control of a prosthetic arm (IEEE transactions on neural systems and rehabilitation engineering)
9. Resolving the Limb Position Effect in Myoelectric Pattern Recognition (IEEE transactions on neural systems and rehabilitation engineering)
10. Learning to integrate arbitrary signals from vision and touch.

Their papers

• Myoelectric Control of Artificial Limbs¿Is There a Need to Change Focus? [In the Spotlight] (2012) — 469 citations
• Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation (2017) — 311 citations
• The extraction of neural strategies from the surface EMG. (2004) — 1,609 citations
• Decoding the neural drive to muscles from the surface electromyogram. (2010) — 356 citations
• Motor unit recruitment strategies investigated by surface EMG variables. (2002) — 309 citations
• Influence of anatomical, physical, and detection-system parameters on surface EMG (2002) — 374 citations
• The extraction of neural strategies from the surface EMG: an update. (2014) — 505 citations
• The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges (2014) — 900 citations
• Comparison of algorithms for estimation of EMG variables during voluntary isometric contractions. (2000) — 364 citations
• EMG-Driven Forward-Dynamic Estimation of Muscle Force and Joint Moment about Multiple Degrees of Freedom in the Human Lower Extremity (2012) — 320 citations