Recently, many EMG pattern recognition tasks have been addressed using deep learning methods. In this paper, we analyze recent papers and present a literature review describing …

2023年12月27日 · This narrative review covers the fundamentals of AI, highlights current advancements and the utilization of AI in electrodiagnostic (EDX) medicine (EDX being a term …

2023年4月12日 · Here, we report an array of bipolar stretchable sEMG electrodes with a self-attention-based graph neural network to recognize gestures with high accuracy. The array is …

Electromyography (EMG) is the superposition of motor unit action potentials (MUAPs) in muscle fibers. Their main role is to be the link between the person's musculoskeletal and neurological …

2023年3月24日 · In this paper, we propose a dynamic hand-gesture-based industrial robot control system using the edge AI platform. The proposed system can perform both robot operating …

2023年9月18日 · Over recent years, the integration of Artificial Intelligence (AI) has catalyzed remarkable advancements in the classification of biomedical signals, with a particular focus on …

Neuro-Sense AI identifies complex neuromuscular signatures with unprecedented accuracy. Using deep learning algorithms trained on extensive clinical data, we can detect subtle …

2024年3月1日 · This scoping review provides an overview of artificial intelligence (AI), including machine and deep learning techniques, in the interpretation of clinical needle …

This paper presents an electromyographic (EMG) pattern recognition method to identify motion commands for the control of a prosthetic arm by evidence accumulation based on artificial …

2021年3月1日 · Recently, many EMG pattern recognition tasks have been addressed using deep learning methods. In this paper, we analyze recent papers and present a literature review …