Journal
SENSORS
Volume 21, Issue 15, Pages -Publisher
MDPI
DOI: 10.3390/s21155186
Keywords
biomedical signals; cardiac signals; electrocardiography; vectorcardiography; fetal electrocardiography
Funding
- European Regional Development Fund in the Research Centre of Advanced Mechatronic Systems project within the Operational Programme Research, Development and Education [CZ.02.1.01/0.0/0.0/16_019/0000867]
- Ministry of Education of the Czech Republic [SP2021/32]
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This paper provides an extensive literature review of digital signal processing methods for cardiac bioelectrical signals commonly used in clinical practice, covering the definition of bioelectrical signals and various approaches to reducing noise contamination, such as digital adaptive and non-adaptive filtering, signal decomposition methods based on blind source separation, and wavelet transform.
Advanced signal processing methods are one of the fastest developing scientific and technical areas of biomedical engineering with increasing usage in current clinical practice. This paper presents an extensive literature review of the methods for the digital signal processing of cardiac bioelectrical signals that are commonly applied in today's clinical practice. This work covers the definition of bioelectrical signals. It also covers to the extreme extent of classical and advanced approaches to the alleviation of noise contamination such as digital adaptive and non-adaptive filtering, signal decomposition methods based on blind source separation and wavelet transform.
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