文章基本信息

标题：Application of Hanning-Based Short Time Fourier Transform in Localization of Imagined Motor Movement within Human Brain
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作者：Suraj S. Bhamra ; Mohamed A. Zohdy
期刊名称：International Journal of Computer and Information Technology
印刷版ISSN：2279-0764
出版年度：2018
卷号：7
期号：3
页码：127-134
出版社：International Journal of Computer and Information Technology
摘要：This paper intends to present a multidisciplinary series of research and results in the field of computational neuroscience and signal processing investigating the localization of fine motor movement of the hands within the human brain using Joint TimeFrequency Analysis, and more specifically, Hanningwindowed Short Time Fourier Transform (STFT). Datasets used for analysis were generated using electroencephalography (EEG) data collected from human test subjects. This paper shall discuss the mathematical analysis that was conducted, the experiment used to collect the data, signal pre-processing, epoching of data, and analysis conducted using EEGLab and Matlab. Furthermore, this paper presents the use of the STFT and spectrogram to aid in the search of enhanced correlation between motor movement of the human phalanx (proximal, medial, and distal) and a more definite region of the primary motor cortex.
关键词：Electroencephalography (EEG); Event Related Potential (ERP); Short Time Fourier Transform (STFT); Spectrogram; Hanning; Computational Neuroscience; Joint Time Frequency Analysis; Signal Processing