Daniele Esposito

Biomedical Engineering · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniele Esposito trusts

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

  1. Kevin B. Englehart (in Biomedical Engineering)

Papers from Daniele Esposito's perspective

Ordered by how strongly the researchers Daniele Esposito 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. Targeted Muscle Reinnervation for Real-Time Myoelectric Control of Multifunction Artificial Arms (Journal of the American Medical Association (JAMA))
  3. A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses (IEEE Transactions on Biomedical Engineering)
  4. Continuous myoelectric control for powered prostheses using hidden Markov models (IEEE Transactions on Biomedical Engineering)
  5. A wavelet-based continuous classification scheme for multifunction myoelectric control (IEEE Transactions on Biomedical Engineering)
  6. 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)
  7. Myoelectric Control of Artificial Limbs¿Is There a Need to Change Focus? [In the Spotlight] (IEEE Signal Processing Magazine)
  8. How many people are able to operate an EEG-based brain-computer interface (BCI)? (IEEE transactions on neural systems and rehabilitation engineering)
  9. 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)
  10. Literature Review on Needs of Upper Limb Prosthesis Users (Frontiers in Neuroscience)

Their papers