Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
ECG Signal Analysis based on the Spectrogram and Spider Monkey Optimisation Technique
Heart is responsible for circulation of the blood throughout the human body. The conduction of the heart is nonlinear in nature and hence needs appropriate utilisation of technological advancements. The activity of the heart is assessed through an electrocardiogram (ECG) signal that consists of three different types of waves viz. P-wave, QRS-wave (also called QRS complex), and T-wave. But these waves are non-stationary, and hence, investigation of effective tools is essential for their accurate analysis. In this paper, the spectrogram technique is proposed to be used for feature extraction to analyse different segments of heartbeats (energy change) through colour contrasts of various frequency components with respect to time unlike the existing techniques where it was not possible. The features are extracted after the pre-processing accomplished using a digital bandpass filter (DBPF). The extracted features are further proposed to be optimised using the spider monkey optimisation technique due to its acclaimed effectiveness in solving the real-world optimisation problems. The robustness of the proposed methodology is established in fulfilling the ever-increasing demand of modern health care.
ECG Signal Analysis based on the Spectrogram and Spider Monkey Optimisation Technique
Heart is responsible for circulation of the blood throughout the human body. The conduction of the heart is nonlinear in nature and hence needs appropriate utilisation of technological advancements. The activity of the heart is assessed through an electrocardiogram (ECG) signal that consists of three different types of waves viz. P-wave, QRS-wave (also called QRS complex), and T-wave. But these waves are non-stationary, and hence, investigation of effective tools is essential for their accurate analysis. In this paper, the spectrogram technique is proposed to be used for feature extraction to analyse different segments of heartbeats (energy change) through colour contrasts of various frequency components with respect to time unlike the existing techniques where it was not possible. The features are extracted after the pre-processing accomplished using a digital bandpass filter (DBPF). The extracted features are further proposed to be optimised using the spider monkey optimisation technique due to its acclaimed effectiveness in solving the real-world optimisation problems. The robustness of the proposed methodology is established in fulfilling the ever-increasing demand of modern health care.
ECG Signal Analysis based on the Spectrogram and Spider Monkey Optimisation Technique
J. Inst. Eng. India Ser. B
Gupta, Varun (Autor:in) / Mittal, Monika (Autor:in) / Mittal, Vikas (Autor:in) / Diwania, Sourav (Autor:in) / Saxena, Nitin Kumar (Autor:in)
Journal of The Institution of Engineers (India): Series B ; 104 ; 153-164
01.02.2023
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
| UB Braunschweig | 2006
Spider Monkey (Ateles paniscus) Activities in an Outdoor Zoo Exhibit
| British Library Conference Proceedings | 1996
Spider Monkey Optimization Based Optimal Sizing of Battery Energy Storage for Micro-Grid
| BASE | 2023
Wavelet-Spectrogram Analysis of Surface Wave Technique for In Situ Pavement Stiffness Measurement
| British Library Online Contents | 2018