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This paper presents a new 1-D LBP (Local Binary Pattern) based technique for onset detection. The algorithm is tested on forearm surface myoelectric signals that occur due to lower arm gestures. Unlike other onset detection algorithms, the method does not require manual threshold setting and fine-tuning, which makes it faster and easier to implement. The(More)
This paper presents a new electromyography activity detection technique in which 1-D local binary pattern histograms are used to distinguish between periods of activity and inactivity in myoelectric signals. The algorithm is tested on forearm surface myoelectric signals occurring due to hand gestures. The novel features of the presented method are that: 1)(More)
The ability to recognize various forms of contaminants in surface electromyography (EMG) signals and to ascertain the overall quality of such signals is important in many EMG-enabled rehabilitation systems. In this paper, new methods for the automatic identification of commonly occurring contaminant types in surface EMG signals are presented. Such methods(More)
There is a high prevalence of right ventricular dysfunction and reduced exercise performance in survivors of atrial switch repair for transposition of the great arteries. However, it is not known whether the impairment in exercise performance is progressive. We performed paired comparison of exercise performance in 28 patients who underwent two serial(More)
Certain imaging technologies, such as fibred optical microscopy, operate with irregularly-spaced sparse sub-samples from their field of view. In this work, we address the problem of data restoration for applications where the observed irregularly distributed samples are corrupted by additive observation noise and sparse outliers (such as broken and damaged(More)
Solitary pulmonary nodules are common, often incidental findings on chest CT scans. The investigation of pulmonary nodules is time-consuming and often leads to protracted follow-up with ongoing radiological surveillance, however, clinical calculators that assess the risk of the nodule being malignant exist to help in the stratification of patients.(More)
SIGNIFICANCE Optical endomicroscopy (OEM) is a novel real-time imaging technology that provides endoscopic images at a microscopic level. The nature of OEM data, as acquired in clinical use, gives rise to the presence of uninformative frames (i.e., pure-noise and motion-artefacts). Uninformative frames can comprise a considerable proportion (up to > 25%) of(More)
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