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This paper investigate a fuzzy logic based high performance surface EMG classification algorithm for multifunctional upper limb prostheses. In this paper, we record 4 channels EMG data with surface electrodes from the forearm and aimed to recognize 8 different upper limb movements using heuristic fuzzy logic methods from these data. We use 50 surface EMG data for every function and evaluate the performance...
Great co-contraction, i.e. simultaneous contraction of agonist and antagonist muscles crossing a joint, of ankle muscles during the stance phase has been identified as one of the typical features of the immature gait. The goal of the present study was the assessment of the co-contractions of tibialis anterior (TA) and gastrocnemius lateralis (GL) during walking in 20 healthy 6-to-8-year-old children,...
Electrocardiogram (ECG) represents, with the electroencephalogram (EEG), the principal bio-vital signals, providing information on the human physical condition. Although surface electromyogram (sEMG) is not classified as bio-vital, it is frequently used to integrate and increase information obtained from ECG and EEG, making these three signals the main electric-biological signals. The sEMG is widely...
The function of lower-extremity rehabilitation robotics usually includes standing up movements. These standing up movements can cause spasticity in people with disabilities of the lower extremities. In this paper, we review the spasticity and the methods of existing systems for handling the spasticity of people with physical disabilities. We observe and detect the spasticity via the EMG signals of...
Lower limb amputees form a large portion of the amputee population; however, current lower limb prostheses do not meet the needs of patients with high-level amputations who need to perform multi-joint coordinated movements. A critical missing element is an intuitive neural interface from which user intent can be determined. Surface EMG has been used as control source for upper limb prostheses for...
This study investigated the use of surface electromyography (EMG) combined with pattern recognition (PR) to identify user locomotion modes. Due to the nonstationary characteristics of leg EMG signals during locomotion, a new phase-dependent EMG PR strategy was proposed for classifying the user's locomotion modes. The variables of the system were studied for accurate classification and timely system...
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