本文選題：情緒　切入點(diǎn)：腦電信號(hào)　出處：《長(zhǎng)春理工大學(xué)》2014年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：隨著經(jīng)濟(jì)的發(fā)展,人們對(duì)生活水平的要求越來(lái)越高,無(wú)形中給自身帶來(lái)很多壓力,最終導(dǎo)致各種神經(jīng)系統(tǒng)疾病的發(fā)生,例如：壓力帶來(lái)的內(nèi)分泌失調(diào)、抑郁癥、精神病等,影響著患者的情緒和行為表現(xiàn),給他們的日常生活帶來(lái)很大困擾。且有研究表明,自閉癥兒童、多動(dòng)癥兒童、語(yǔ)言發(fā)育遲緩的兒童等也會(huì)時(shí)常表現(xiàn)出一定的情緒和行為問(wèn)題。因此,情緒感知的研究對(duì)這些疾病的治療有很大的幫助。 大腦作為人體最精巧復(fù)雜的器官之一,蘊(yùn)含著豐富的生理信息和病理信息,因此,本文提出以腦電信號(hào)作為情緒感知研究的基礎(chǔ),通過(guò)研究各種情緒狀態(tài)下腦電信號(hào)的特征差異,從而探索腦電信號(hào)隨各種影響因素的變化規(guī)律。首先根據(jù)艾森克人格問(wèn)卷挑選出人格類(lèi)型為外向穩(wěn)定型的人群作為受試者,以安靜閉目狀態(tài)下的腦電信號(hào)作為參照,用不同類(lèi)型的純音樂(lè)作為刺激源來(lái)誘發(fā)不同的情緒,同時(shí)采集腦電信號(hào)和眼電信號(hào);然后對(duì)腦電信號(hào)進(jìn)行去噪處理,并分離眼電偽跡；最后分別提取腦電信號(hào)的時(shí)域幅度直方圖、頻域功率譜密度、時(shí)頻希爾伯特譜熵,定性、定量地分析腦電信號(hào)的變化。該研究不僅首次將性別、年齡、腦區(qū)、情緒這四種因素綜合起來(lái)分析腦電信號(hào)及其四種基本節(jié)律隨之變化的規(guī)律,并且首次將希爾伯特譜熵用于腦電信號(hào)的時(shí)頻分析,將會(huì)作為一種新的分類(lèi)指標(biāo)用于情感識(shí)別。這些研究結(jié)果不僅揭示了不同情緒狀態(tài)下大腦的作用機(jī)制,也為情緒感知、音樂(lè)治療、神經(jīng)科學(xué)的發(fā)展提供了理論依據(jù)。
[Abstract]:With the development of economy, people are demanding higher and higher standard of living, which can bring a lot of pressure to themselves, and eventually lead to a variety of nervous system diseases, such as: endocrine disorders, depression, psychosis, etc. Affect the emotional and behavioral performance of patients, and bring a lot of trouble to their daily life. And some studies have shown that autistic children, children with ADHD, Children with language retardation also often show certain emotional and behavioral problems. Therefore, the study of emotional perception is of great help to the treatment of these diseases. As one of the most delicate and complicated organs of human body, the brain contains abundant physiological and pathological information. By studying the characteristic differences of EEG signals in various emotional states, the changes of EEG signals with various influencing factors were explored. Firstly, according to the Eysenck Personality questionnaire, a group of people whose personality type was extroverted and stable was selected as subjects. The EEG signals in the state of quiet eyes are used as reference, and different types of pure music are used as stimulators to induce different emotions, and EEG and Eye-electric signals are collected at the same time, then the EEG signals are de-noised, and the artifacts of Eye-electric signals are separated. Finally, time-domain amplitude histogram, frequency-domain power spectral density, time-frequency Hilbert spectral entropy, qualitative and quantitative analysis of EEG changes were extracted respectively. The four factors of emotion are combined to analyze the changes of EEG and its four basic rhythms, and the Hilbert spectrum entropy is applied to the time-frequency analysis of EEG for the first time. These results not only reveal the mechanism of brain action in different emotional states, but also provide theoretical basis for the development of emotional perception, music therapy and neuroscience.
【學(xué)位授予單位】：長(zhǎng)春理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TN911.7

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