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Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach-Part I: Cardiac Signals.

Radek MartinekMartina LadrovaMichaela SidikovaRene JarosKhosrow BehbehaniRadana Vilimkova KahankovaAleksandra Kawala-Sterniuk
Published in: Sensors (Basel, Switzerland) (2021)
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.
Keyphrases
  • clinical practice
  • body composition
  • dual energy
  • risk assessment
  • magnetic resonance imaging
  • computed tomography
  • drinking water
  • health risk
  • human health