Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
DA-FBLMS Adaptive Filter Design for Accurate ECG Signal Detection using FPGA
Ist Teil von
2023 58th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), 2023, p.267-272
Ort / Verlag
IEEE
Erscheinungsjahr
2023
Link zum Volltext
Quelle
IEEE Electronic Library (IEL)
Beschreibungen/Notizen
Accurate identification of electrocardiogram (ECG) signals is crucial in clinical diagnostics. This research paper presents an implementation of an adaptive digital filter for reliable ECG signal identification. The study focuses on utilizing the Distributed Arithmetic (DA) and Fast Block LMS (FBLMS) algorithm to enhance accuracy and reduce power consumption. To achieve optimal clutter elimination and convergence speed, adaptive step size algorithms based on correlation coherence measurements of the reference signal are employed. The implementation is carried out on FPGA Virtex 5 boards, emphasizing minimal power and memory requirements. Experimental results demonstrate improved accuracy and reduced power consumption, indicating the potential of the proposed approach for reliable ECG signal identification.