Abstract
The heart is considered as a muscular pump that propels the blood toward all the cells of the human body, this hollow muscle has an internal electrical activity that allows it to contract automatically. Measuring this activity, called ECG signal, is used to diagnose the heart disorders. So, in this chapter, we survey the current state-of-the-art methods of ECG processing which contain several steps such as preprocessing or denoising, feature extraction and then arrhythmias detection; and the technological solutions for real-time implementation on embedded architectures as CPU, GPU, or FPGA. Finally, we discuss drawbacks and limitations of the presented methods with concluding remarks and future challenges.
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Acknowledgements
This work is partially supported by the National Centre of Scientific and Technical Research of Morocco (CNRST). The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.
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Mejhoudi, S., Latif, R., Elouardi, A., Jenkal, W. (2019). Advanced Methods and Implementation Tools for Cardiac Signal Analysis. In: El Hani, S., Essaaidi, M. (eds) Recent Advances in Electrical and Information Technologies for Sustainable Development. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-05276-8_11
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DOI: https://doi.org/10.1007/978-3-030-05276-8_11
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