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Signal Quality Assessment and Lightweight QRS Detection for Wearable ECG SmartVest System
It is demonstrated that the developed IoT-driven ECG SmartVest system can be applied for widely monitoring the population during daily life and has a promising application future. Expand
Rule-Based Method for Morphological Classification of ST Segment in ECG Signals
A simple rule-based ST morphology classification method is proposed that identifies ST segments with the normal morphology type and five abnormal morphology sub-types: concave or convex elevation, up-sloping, down-Sloping, or horizontal depression. Expand
A Construction Method of Personalized ECG Template and Its Application in Premature Ventricular Contraction Recognition for ECG Mobile Phones
A construction method of personalized ECG template and a succeeding PVC recognition method based on template matching were studied and it shows promising for the application of ECG mobile phones. Expand
Electrocardiogram Reconstruction Based on Compressed Sensing
This paper proposed novel CS algorithms for reconstructing under-sampled and compressed electrocardiogram (ECG) signal and found that the proposed CS scheme was capable of faithfully reconstructing ECG signals with only 30% acquisition. Expand
Towards a semi-empirical model of the sea ice thickness based on hyperspectral remote sensing in the Bohai Sea
Sea ice thickness is one of the most important input parameters for the prevention and mitigation of sea ice disasters and the prediction of local sea environments and climates. Estimating the seaExpand
Continuous-Valued Annotations Aggregation for Heart Rate Detection
A probabilistic model was used to synthesize heart rate annotations from multiple annotators for electrocardiograph (ECG) signals and inferred the underlying true annotations and the precision of each annotator when the ground truth was not available, demonstrating the robustness of the proposed continuous-valued annotation aggregation model. Expand
Applications of complexity analysis in clinical heart failure
The analysis principles of conventional time-domain analysis, frequency- domain analysis and of newer complexity analysis are reviewed, and the techniques using real clinical data are illustrated, allowing a comparison of the techniques, and also of the differences between normal heart rate variability and that associated with heart failure. Expand