Abstract
Signal quality significantly affects the processing, analysis, and interpretation of biomedical signals. There are many procedures for assessing signal quality that use averaged numerical values, thresholding, analysis in the time or frequency domain, or nonlinear approaches. An interesting approach to the assessment of signal quality is using symmetric projection attractor reconstruction (SPAR) analysis, which transforms an entire signal into a two-dimensional plot that reflects the waveform morphology. In this study, we present an application of SPAR to evaluate the quality of seismocardiograms (SCG signals) from the CEBS database, a publicly available seismocardiogram signal database. Visual inspection of symmetric projection attractors suggests that high-quality (clean) seismocardiogram projections resemble six-pointed asterisks (*), and any deviation from this shape suggests the influence of noise and artifacts.Clinical relevance— SPAR analysis enables quick identification of noise and artifacts that can affect the reliability of the diagnosis of cardiovascular diseases based on SCG signals.
| Original language | English |
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| Pages | 1-4 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 11.12.2023 |
| Event | 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - International Convention Centre Sydney, Sydney, Australia Duration: 24.07.2023 → 27.07.2023 https://embc.embs.org/2023 |
Conference
| Conference | 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
|---|---|
| Country/Territory | Australia |
| City | Sydney |
| Period | 24.07.23 → 27.07.23 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 4 Quality Education
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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SDG 12 Responsible Consumption and Production
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SDG 14 Life Below Water
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SDG 15 Life on Land
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