Academic Journal
Robust Design of Nonlinear Adaptive Hammerstein Filter Structure Using Evolutionary Algorithm: Real-Time Application to ECG Signals.
| Τίτλος: | Robust Design of Nonlinear Adaptive Hammerstein Filter Structure Using Evolutionary Algorithm: Real-Time Application to ECG Signals. |
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| Συγγραφείς: | Yadav S; Department of Computer Science and Engineering, C. V. Raman Global University, Bhubaneswar, Odisha, India. shubham.ydv@gmail.com., Saha SK; Department of Electronics and Communication Engineering, National Institute of Technology, Raipur, Chhattisgarh, India., Kar R; Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur, West Bengal, India. |
| Πηγή: | Cardiovascular engineering and technology [Cardiovasc Eng Technol] 2026 Apr; Vol. 17 (2), pp. 140-154. Date of Electronic Publication: 2026 Jan 05. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Springer Country of Publication: United States NLM ID: 101531846 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1869-4098 (Electronic) Linking ISSN: 1869408X NLM ISO Abbreviation: Cardiovasc Eng Technol Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: New York, NY : Springer |
| Ιατρικοί όροι (MeSH): | Electrocardiography*/methods , Algorithms* , Signal Processing, Computer-Assisted*, Humans ; Nonlinear Dynamics ; Artifacts ; Signal-To-Noise Ratio ; Computer Simulation |
| Περίληψη: | Objective: Electrocardiogram (ECG) signals are well-known non-stationary heart signals of lower strength. Due to their small amplitude, it attracts other biomedical artefacts from the surrounding. This research mainly focuses on removing artefacts from the electrocardiogram signals. Method: The work presented uses the recent metaheuristic techniques to design a nonlinear adaptive Hammerstein filter-based structure efficiently. Many powerful metaheuristic optimisation algorithms, such as particle swarm optimisation algorithm with constriction factor, flower pollination algorithm, marine predators' algorithm and growth optimiser, have been applied for the optimal design of adaptive Hammerstein filter-based structures. The proposed structure has been analysed for electrocardiogram with various noise signals such as muscle artefact, white Gaussian noise etc. RESULTS: Among the adopted-metaheuristic algorithms applied to adaptive Hammerstein filter-based structures, the growth optimiser-optimised adaptive Hammerstein filter-based structures performed better with improved signal-to-noise ratio and minimal mean squared error values. A digital signal processor kit is used to authenticate the simulation outcomes. Conclusion: The results (mean squared error: 3.698E-08 and signal-to-noise ratio improvement: 12 dB) obtained through the proposed technique ensure its supremacy compared to other state-of-the-art techniques. Significance: Hence, the proposed method can be utilised for electrocardiogram signal enhancement. (© 2025. The Author(s) under exclusive licence to Biomedical Engineering Society.) |
| Competing Interests: | Declarations. Conflict of interests: The authors have no relevant financial or non-financial interests to disclose. |
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| Contributed Indexing: | Keywords: Adaptive noise cancellation; Electrocardiogram; Growth optimiser; Hammerstein model |
| Entry Date(s): | Date Created: 20260106 Date Completed: 20260422 Latest Revision: 20260723 |
| Update Code: | 20260723 |
| DOI: | 10.1007/s13239-025-00814-w |
| PMID: | 41491879 |
| Βάση Δεδομένων: | MEDLINE |
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