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OpenAlex konusu

Muscle activation and electromyography studies

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 2.167 eser 145 yazar konusu

Çalışmalar

2.167 eser

  1. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.6%

    Since the strict separation of working spaces of humans and robots has experienced a softening due to recent robotics research achievements, close interaction of humans and robots comes rapidly into reach. In this context, physical human–robot interaction raises a number of questions regarding a desired intuitive robo…

  2. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 95.9%

    Özet henüz yok.

  3. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 95.9%

    Özet henüz yok.

  4. OpenAlex üst %10 OpenAlex 93.2%

    The purpose of this review is to discuss electromyography (EMG) and some of the problems and issues that are encountered during the recording and interpretation of EMG data. Recordings of electrical activity of muscles can be contaminated by interference from the electrical supply, mechanical artifacts, stimulus artif…

  5. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.3%

    This paper presents the design, control and performance of a high fidelity four degree-of-freedom wrist exoskeleton robot, RiceWrist, for training and rehabilitation. The RiceWrist is intended to provide kinesthetic feedback during the training of motor skills or rehabilitation of reaching movements. Motivation for su…

  6. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.9%

    Özet henüz yok.

  7. YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %10 OpenAlex 96.0%

    Accurate and computationally efficient means of classifying surface myoelectric signals has been the subject of considerable research effort in recent years. The aim of this paper is to classify myoelectric signals using new fuzzy clustering neural network (NN) architectures to control multifunction prostheses. This p…

  8. YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %10 OpenAlex 96.0%

    Accurate and computationally efficient means of classifying surface myoelectric signals has been the subject of considerable research effort in recent years. The aim of this paper is to classify myoelectric signals using new fuzzy clustering neural network (NN) architectures to control multifunction prostheses. This p…

  9. YÖKSİS SJR Q2 JCR Q2 OpenAlex üst %10 OpenAlex 96.0%

    Accurate and computationally efficient means of classifying surface myoelectric signals has been the subject of considerable research effort in recent years. The aim of this paper is to classify myoelectric signals using new fuzzy clustering neural network (NN) architectures to control multifunction prostheses. This p…

  10. YÖKSİS SJR Q1 JCR Q1 OpenAlex 88.1%

    Özet henüz yok.

  11. YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %10 OpenAlex 94.7%

    Özet henüz yok.

  12. YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %10 OpenAlex 94.7%

    Özet henüz yok.

Akademisyenler

145 akademisyen