Background and objective: Long-term electrocardiogram monitoring comes at the expense of signal quality. During unconstrained movements, the electrocardiogram is often corrupted by motion artefacts, which can lead to inaccurate physiological information. In this situation, automated quality assessment methods are useful to increase the reliability of the measurements. A generic machine learning pipeline that generates classification models for electrocardiogram quality assessment is presented in this article. The presented pipeline is tested on signals from varied acquisition sources, towards selecting segments that can be used for heart rate analysis in lifestyle applications. Methods: Electrocardiogram recordings from traditional, wearable and ubiquitous devices, are segmented in 10 s windows and manually labeled by experienced researchers into two quality classes. To capture the electrocardiogram dynamics, a comprehensive set of 43 features is extracted from each segment, based on the time-domain signal, its Fast Fourier Transform, the Autocorrelation function and the Stationary Wavelet Transform. To select the most relevant features for each acquisition source we employ both a customized hybrid approach and the state-of-the-art Neighborhood Component Analysis method and compare them. Support Vector Machines (SVM), Decision Trees, K-Nearest-Neighbors and supervised ensemble methods are tested as possible binary classifiers. Results: The results for the best performing models on traditional, wearable and ubiquitous electrocardiogram datasets are, respectively: balanced-accuracy: 89%, F1-score: 93% with the Fine Gaussian SVM model and 10 features; balanced-accuracy: 93%, F1-score: 93% with the Fine Gaussian SVM model and 11 features; balanced-accuracy: 95%, F1-score: 86%, with the Fine Gaussian SVM model and 8 features. Conclusions: According to the results, our generic pipeline can generate classification models tailored to individual acquisition sources, provided that a standard Lead I or Lead II is available. Such models accurately establish whether the electrocardiogram quality is good or bad for heart rate analysis. Furthermore, removing bad quality segments decreases errors in heart rate calculation.@en

COMET - Integrated infrastructure for CO2 transport and storage in the west Mediterranean- is a join research Project cofinanced by the European Seventh Framework Programme (FP7), which started on January 2010. Carbon dioxide Capture and Storage (CCS) is a CO2 abatement option that can contribute substantially to the ambitious targets needed for climate stabilization. The significant role foreseen for CCS is based on several conditions, like the availability of a CO2 transport infrastructure or construction of such an infrastructure within the near future. The need to have a suitable transport infrastructure, its implications over time and its related costs have only more recently attracting the attention and getting priority in the R&D agenda of the European Countries. This is partly because research on CO2 transport and storage needs to be realized at the localregional level, unlike the technological research on CO2 capture which is not country dependent. In this context, COMET focuses on assessing CO2 transport and storage in a geographical area that until now has received little attention: the West Mediterranean area, specifically, the Iberian Peninsula and Morocco.@en

COMET - Integrated infrastructure for CO2 transport and storage in the west Mediterranean- is a join research Project cofinanced by the European Seventh Framework Programme (FP7), which started on January 2010. Carbon dioxide Capture and Storage (CCS) is a CO2 abatement option that can contribute substantially to the ambitious targets needed for climate stabilization. The significant role foreseen for CCS is based on several conditions, like the availability of a CO2 transport infrastructure or construction of such an infrastructure within the near future. The need to have a suitable transport infrastructure, its implications over time and its related costs have only more recently attracting the attention and getting priority in the R&D agenda of the European Countries. This is partly because research on CO2 transport and storage needs to be realized at the localregional level, unlike the technological research on CO2 capture which is not country dependent. In this context, COMET focuses on assessing CO2 transport and storage in a geographical area that until now has received little attention: the West Mediterranean area, specifically, the Iberian Peninsula and Morocco.@en

COMET - Integrated infrastructure for CO2 transport and storage in the west Mediterranean- is a join research Project cofinanced by the European Seventh Framework Programme (FP7), which started on January 2010. Carbon dioxide Capture and Storage (CCS) is a CO2 abatement option that can contribute substantially to the ambitious targets needed for climate stabilization. The significant role foreseen for CCS is based on several conditions, like the availability of a CO2 transport infrastructure or construction of such an infrastructure within the near future. The need to have a suitable transport infrastructure, its implications over time and its related costs have only more recently attracting the attention and getting priority in the R&D agenda of the European Countries. This is partly because research on CO2 transport and storage needs to be realized at the localregional level, unlike the technological research on CO2 capture which is not country dependent. In this context, COMET focuses on assessing CO2 transport and storage in a geographical area that until now has received little attention: the West Mediterranean area, specifically, the Iberian Peninsula and Morocco.@en

COMET - Integrated infrastructure for CO2 transport and storage in the west Mediterranean- is a join research Project cofinanced by the European Seventh Framework Programme (FP7), which started on January 2010. Carbon dioxide Capture and Storage (CCS) is a CO2 abatement option that can contribute substantially to the ambitious targets needed for climate stabilization. The significant role foreseen for CCS is based on several conditions, like the availability of a CO2 transport infrastructure or construction of such an infrastructure within the near future. The need to have a suitable transport infrastructure, its implications over time and its related costs have only more recently attracting the attention and getting priority in the R&D agenda of the European Countries. This is partly because research on CO2 transport and storage needs to be realized at the localregional level, unlike the technological research on CO2 capture which is not country dependent. In this context, COMET focuses on assessing CO2 transport and storage in a geographical area that until now has received little attention: the West Mediterranean area, specifically, the Iberian Peninsula and Morocco.@en

COMET - Integrated infrastructure for CO2 transport and storage in the west Mediterranean- is a join research Project cofinanced by the European Seventh Framework Programme (FP7), which started on January 2010. Carbon dioxide Capture and Storage (CCS) is a CO2 abatement option that can contribute substantially to the ambitious targets needed for climate stabilization. The significant role foreseen for CCS is based on several conditions, like the availability of a CO2 transport infrastructure or construction of such an infrastructure within the near future. The need to have a suitable transport infrastructure, its implications over time and its related costs have only more recently attracting the attention and getting priority in the R&D agenda of the European Countries. This is partly because research on CO2 transport and storage needs to be realized at the localregional level, unlike the technological research on CO2 capture which is not country dependent. In this context, COMET focuses on assessing CO2 transport and storage in a geographical area that until now has received little attention: the West Mediterranean area, specifically, the Iberian Peninsula and Morocco.@en