Gaetano Dario Gargiulo
Biomedical Engineering · 2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 13 citations into it
- Cellular and Molecular Neuroscience — 13 citations into it
- Cognitive Neuroscience — 13 citations into it
Whom Gaetano Dario Gargiulo trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Kevin B. Englehart (in Biomedical Engineering)
Papers from Gaetano Dario Gargiulo's perspective
Ordered by how strongly the researchers Gaetano Dario Gargiulo trusts endorse each paper. Same corpus, a different order for every researcher.
- A robust, real-time control scheme for multifunction myoelectric control (IEEE Transactions on Biomedical Engineering)
- Targeted Muscle Reinnervation for Real-Time Myoelectric Control of Multifunction Artificial Arms (Journal of the American Medical Association (JAMA))
- A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses (IEEE Transactions on Biomedical Engineering)
- Continuous myoelectric control for powered prostheses using hidden Markov models (IEEE Transactions on Biomedical Engineering)
- A wavelet-based continuous classification scheme for multifunction myoelectric control (IEEE Transactions on Biomedical Engineering)
- 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)
- Myoelectric Control of Artificial Limbs¿Is There a Need to Change Focus? [In the Spotlight] (IEEE Signal Processing Magazine)
- Determining the optimal window length for pattern recognition-based myoelectric control: balancing the competing effects of classification error and controller delay (IEEE transactions on neural systems and rehabilitation engineering)
- Literature Review on Needs of Upper Limb Prosthesis Users (Frontiers in Neuroscience)
- A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration (Biomedical Signal Processing and Control)