Abstract
This paper presents a comparative analysis of spectrograms and scalograms for ECG signal analysis, focusing on the trade-offs between time and frequency resolution. Previous studies have explored these techniques individually, but a systematic comparison considering various window types, wavelet families, and parameter settings is lacking. Our research fills this gap by conducting a comprehensive investigation to unveil the strengths and limitations of spectrograms and scalograms in capturing the complex features of mixed fetal and maternal ECG signals. Through extensive experimentation, we demonstrate that the choice of wavelet family significantly impacts the analysis results. Among the wavelets examined, the Symlet wavelet emerges as a powerful tool for optimal analysis of fetal and maternal activities. We highlight its ability to capture intricate details and patterns, showcasing its superior performance compared to other wavelet families.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ziani, S., El Hassouani, Y.: A new approach for extracting and characterizing fetal electrocardiogram. Traitement du Signal, vol. 37, no. 3, pp. 379–386 (2020). https://doi.org/10.18280/ts.370304
Jamshidian-Tehrani, F., Sameni, R., Jutten, C.: Temporally nonstationary component analysis; application to noninvasive fetal electrocardiogram extraction. IEEE Trans. Biomed. Eng. 67(5), 1377–1386 (May 2020). https://doi.org/10.1109/TBME.2019.2936943
Ziani, S., El Hassouani, Y., Farhaoui, Y.: An NMF based method for detecting RR interval. In: International Conference on Big Data and Smart Digital Environment. Springer (2019)
De Moor, B., De Gersem, P., De Schutter, B., Favoreel, W.: Sep DAISY: a database for fiction of systems. J. A, Special Issue on CACSD (Comput. Aided Control Syst. Des.), 38(3), 4–5 (1997)
Tang, S.-N.: Design of a STFT hardware kernel for spectral Doppler processing in portable ulrasound systems. In: 2016 IEEE 5th Global Conference on Consumer Electronics, Kyoto, Japan, 2016, pp. 1–2 (2016). https://doi.org/10.1109/GCCE.2016.7800466
Aakaaram, V., Bachu, S.: MRI and CT image fusion using synchronized anisotropic diffusion equation with DT-CWT decomposition: smart technologies, communication and robotics (STCR). Sathyamangalam, India 2022, 1–5 (2022). https://doi.org/10.1109/STCR55312.2022.10009173
Qassim, Y.T., Cutmore, T., Rowlands, D.: Multiplier Truncation in FPGA Based CWT. In: International Symposium on Communications and Information Technologies (ISCIT). Gold Coast, QLD, Australia, vol. 2012, pp. 947–951 (2012). https://doi.org/10.1109/ISCIT.2012.6381041
Wang, M., et al.: Low-latency in situ image analytics with FPGA-based quantized convolutional neural network. IEEE Trans. Neural Netw. Learn. Syst. 33(7), 2853–2866 (2022). https://doi.org/10.1109/TNNLS.2020.3046452
Ziani, S.: Contribution to single-channel fetal electrocardiogram identification. Traitement du Signal, vol. 39, no. 6, pp. 2055–2060 (2022). https://doi.org/10.18280/ts.390617
Ziani, S., Farhaoui, Y., Moutaib, M.: Extraction of fetal electrocardiogram by combining deep learning and SVD-ICA-NMF methods. Big Data Min. Anal. 6(3), 301–310 (2023). https://doi.org/10.26599/BDMA.2022.9020035
Ziani, S.: Fetal electrocardiogram identification using statistical analysis. In: Farhaoui, Y., Rocha, A., Brahmia, Z., Bhushab, B. (eds.) Artificial Intelligence and Smart Environment. ICAISE 2022. Lecture Notes in Networks and Systems, vol. 635. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-26254-8-64
Chaou, Y. et al.: Nonlinear control of the permanent magnet synchronous motor PMSM using backstepping method. WSEAS Trans. Syst. Control 17, 56–61 (2022). https://doi.org/10.37394/23203.2022.17.7
Ouhadou, M. et al.: Experimental modeling of the thermal resistance of the heat sink dedicated to SMD LEDs passive cooling. In: Proceedings of the 3rd International Conference on Smart City Applications (2018)
Ben, Hafid, et al.: Permanent magnet synchronous motor PMSM control by combining vector and PI controller. WSEAS Trans. Syst. Control 17, 244–249 (2022)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Ziani, S., Rizal, A. (2024). Comparative Study of Spectrograms and Scalograms for Fetal Electrocardiogram Analysis in Healthcare: Unveiling the Trade-Offs Between Time and Frequency Resolution. In: Mabrouki, J., Azrour, M. (eds) Integrated Solutions for Smart and Sustainable Environmental Conservation. Studies in Systems, Decision and Control, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-031-55787-3_8
Download citation
DOI: https://doi.org/10.1007/978-3-031-55787-3_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-55786-6
Online ISBN: 978-3-031-55787-3
eBook Packages: EngineeringEngineering (R0)