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Utilizing Fast Fourier Transform in the processing of biomedical signals: An analytical approach
- 1 Xi'an Jiaotong University
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Abstract
Fast Fourier Transform (FFT) is an indispensable tool in biomedical engineering, which optimizes the computational process of the traditional Discrete Fourier Transform (DFT) and effectively reduces the computational complexity. This paper first introduces the basic principle of FFT and its importance in biomedical signal processing. It focuses on the application of FFT in the analysis of electrocardiogram (ECG) and electroencephalogram (EEG) signals, such as the diagnosis of arrhythmia and the analysis of sleep quality, as well as the importance of FFT in removing biomedical signal noise. In addition, the paper explores FFT discussing its challenges and future directions in biomedical engineering, including the development of new algorithms and integration with machine learning techniques. Finally, the article summarizes the applications of FFTs in biomedical engineering and their importance. It emphasizes the need for continued research and development of FFTs and their related techniques in the biomedical field.
Keywords
FFT, ECG, EEG, Biomedical signal processing
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Cite this article
Liu,R. (2024). Utilizing Fast Fourier Transform in the processing of biomedical signals: An analytical approach. Theoretical and Natural Science,38,154-159.
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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 2nd International Conference on Mathematical Physics and Computational Simulation
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