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The contaminated electrocardiography (ECG) is a big problem in the surface electromyography (SEMG) signal detection and analysis. The objective of the current study is to propose and validate an algorithm for the automated feature cognition and identification for eliminating ECG artifact from the raw SEMG signals. The utilization of Independent Component Analysis (ICA) method is to decompose the raw...
A wearable wireless general purpose bio-signal acquisition prototype system is presented in this paper. Three types of bio-signals could be acquired by the system then wirelessly transmitted to the computer for real-time processing. The prototype experimental results show that the system could acquire electrocardiogram (ECG), surface-electromyography (s-EMG) and electroencephalogram (EEG) for home...
This paper describes surface electromyogram (sEMG) recordings of the lumbar muscles during walking. The intent of these pilot trials was to evaluate the usefulness of the sEMG in differentiating between two groups of subjects: healthy subjects and those with lower back pain. An analysis of the features of the sEMG was performed for clearly defined walking activities for both subject groups. The results...
This preliminary study aims to testify the utility of a new surface EMG measurement technique using an implanted multi-channel electrode array, in characterization of different neuromuscular pathologies in animal models. Obvious difference in muscle activation patterns were found in surface EMG topographies of different conditions of neuromuscular systems. Further research is needed to explain the...
Automatic interference pattern analysis (IPA) methods are powerful tools to provide information about muscle performance, for both diagnostic and non-diagnostic purposes. Generally used IPA methods includes zero-crossing, spike- counting, amplitude measurement, integration of the IP, decomposition, power spectrum analysis and turn/amplitude analysis(TAA). Of these method, the most well-established...
In clinical experiments, the surface electromyogram (sEMG) recorded from low back muscle exhibit a strong presence of electrocardiogram (ECG). This study applied independent component analysis (ICA) to effectively suppress the interference of ECG in sEMG recorded from low back muscle. In contrast to existing ICA denoise techniques, which totally remove the artifactual ICA components, high-pass filter...
Surface electromyography (sEMG) recorded from the trunk area may reflect underlying muscular function, and is the current standard for in vivo functional examination. However, sEMG of this area, including the low back musculature, usually encounters substantial interference from strong cardiac signals. It is therefore imperative to remove electrocardiogram (ECG) interference from sEMG data. This paper...
Because of the difficulty in analysis and interpretation of surface electromyography (sEMG), the specific muscle contraction synergy associated with low back pain continues to be debated. Streaming topography is a novel method of continuously visualizing the distribution of sEMG signals during dynamic motion to provide a more comprehensive examination and subsequent insight into the synergy of muscle...
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