Khảo sát khu vực vận động của não người sử dụng công nghệ fnirs

• Tác giả: Văn Thuyên Ngô, Thanh Hải Nguyễn, Thanh Nghĩa Nguyễn, Văn Tới Võ
• Ngôn ngữ: vie
• Ký hiệu phân loại: 573.86 *Central nervous system
• Thông tin xuất bản: Khoa học và Công nghệ các trường đại học kỹ thuật, 2013
• Mô tả vật lý: 34-40
• Bộ sưu tập: Metadata
• ID: 558020

Tóm tắt

The human brain is extremely complex structure with the creation of 100 billion neurons. Therefore, studies of brain activity as well as its structure are always a challenge and motivation for scientists. This paper provides a wavelet method to investigate motor control areas and distinguish difference between right hemisphere and left hemisphere by analyzing brain signal using fNlRS technology. Weight lifting experiments were performed on subjects using fNIRS-technology to obtain oxy-Hb concentration of human brain. Obtained signals will be pre-processed to smooth using the Savitzky - Golay filter. Then, the smoothed signals will be analyzed using a wavelet decomposition algorithm with a Bior - 5.5 function to produce the wavelet coefficients for determining features of the signals. An average algorithm of the wavelet coefficients will be applied to predict motor control area as well as to distinguish activities of left hemisphere and right hemisphere. Experimental results show to illustrate the effectiveness of the proposed approach.