EMG and NCS are done in a hospital or office setting. They can be "outpatient procedures," meaning you don’t have to stay overnight and can go home the same day, or they can be done during a hospital stay. Several types of doctors may oversee the procedures. That includes neurologists...
This study introduces the MyoGuide training platform and demonstrates its usability in a clinical setting for stroke rehabilitation, with the assistance of a therapist. The findings support the potential of MyoGuide for wrist extension training in patients across a wide range of impairment levels. How...
The specific meaning of the HREI framework is that a broader perspective than HRI is provided to consider questions in EMG-based robot systems, which focuses on factors that affect the overall task performance of an HREI system. The interaction paradigms can be divided into the direct control ...
In this study, EMG, together with visual information is used for gesture recognition. However, research as in [178] decides the target hand gesture by mainly relying upon computer vision, while EMG only works as a trigger signal that reflects whether a user wants to grasp or not. Although ...
44. Our study shows that spontaneous facial responses which converge emotionally with the facial expressions observed in others can be recorded in 7- but not in 4-months-old infants. The pattern of infant emotional SFRs suggests that they may rely on complex neurocognitive mechanisms44, which ...
In this study, the methods of wavelet threshold de-noising and independent component analysis () are introduced. is a novel signal processing technique bas... W Zhou,J Gotman - Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IE...
Deep learning is envisioned as one fruitful approach to address the feature extraction problem, which is the focus of this study. When it comes to real-time continuous classification, beside achieving high accuracies, one requires rapid response. The proposed framework provides high accuracies over...
Accordingly, this study uses the AR model to build the precise mathematical model required for filtering the EMG signal sequence. Moreover, this mathematical model can describe the regular EMG signal and filter most irregular noises, so the model can be compared with reality. The signal data are...
The primary objective of the study was to explore the nonlinear characteristics of surface electrical activity of the biceps muscle during two (job safety critical) static postures observed on the assembly line. The results showed that for each trial in both postures (posture 1: the MVC condition...
A nerve conduction study (NCS) involves activating nerves electrically with small safe pulses over several points on the skin, usually on the limbs, and measuring the responses obtained. Electromyography (also known as needle EMG) involves the measuring