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Sex-Related Differences in Perception and Discrimination of Different Speakers: An Analysis of the Auditory Dorsal Stream via EEG

机译：不同说话人的感知和歧视中与性别相关的差异：通过脑电图分析听觉背侧听觉流

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作者
Thornton, David.;
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作者单位

The University of Tennessee Health Science Center.;

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授予单位 The University of Tennessee Health Science Center.;
学科
学位 Ph.D.
年度 2019
页码 89 p.
总页数 89
原文格式 PDF
正文语种 eng
中图分类
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专利

1. Auditory discrimination as a condition for E-learning based Speech Therapy: a proposal for an auditory discrimination test (ADT) for adult dysarthric speakers. [J] . Beijer LJ, Rietveld AC, van Stiphout AJ Journal of communication disorders . 2011,第6期

机译：听觉歧视是基于电子学习的言语治疗的条件：针对成人发音异常的听觉歧视测试（ADT）的建议。
2. Effective connectivity hierarchically links temporoparietal and frontal areas of the auditory dorsal stream with the motor cortex lip area during speech perception [J] . MurakamiT., RestleJ., ZiemannU. Brain and language . 2012,第3期

机译：有效的连通性在语音感知过程中将听觉背侧流的颞顶叶和额叶区域与运动皮层唇区域分层地链接起来
3. Effective connectivity hierarchically links temporoparietal and frontal areas of the auditory dorsal stream with the motor cortex lip area during speech perception [J] . MurakamiT., RestleJ., ZiemannU. Brain and language . 2012,第3期

机译：有效的连接在语音感知期间与电机皮质唇部区域进行分层链接听觉背部流的临界和正面区域
4. Decoding Olfactory Cognition: EEG Functional Modularity Analysis Reveals Differences in Perception of Positively-Valenced Stimuli [C] . Nida Itrat Abbasi, Sony Saint-Auret, Junji Hamano, International Conference on Neural Information Processing . 2020

机译：解码嗅觉认知：EEG功能模块化分析揭示了积极性地刺激的感知的差异
5. Sex-Related Differences in Motor Unit Firing Rates and Action Potential Amplitudes of the First Dorsal Interosseous during High-, but Not Low-Intensity Contractions [D] . ?Parra, Mandy E. 2020

机译：运动单位性别差异的燃烧率和高的行动在第一背侧骨间的电位振幅，但不低强度收缩
6. Revisiting vocal perception in non-human animals: a review of vowel discrimination speaker voice recognition and speaker normalization [O] . Buddhamas Kriengwatana, Paola Escudero, Carel ten Cate 2014

机译：重温非人类动物的声音感知：元音辨别说话人语音识别和说话人正常化的综述
7. EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed TarekShahriar Abstract—An EMD-chaos based approach is proposed todiscriminate EEG signals corresponding to healthy persons,and epileptic patients during seizure-free intervals and seizureattacks. An electroencephalogram (EEG) is first empiricallydecomposed to intrinsic mode functions (IMFs). The nonlineardynamics of these IMFs are quantified in terms of the largestLyapunov exponent (LLE) and correlation dimension (CD).This chaotic analysis in EMD domain is applied to a large groupof EEG signals corresponding to healthy persons as well asepileptic patients (both with and without seizure attacks). It isshown that the values of the obtained LLE and CD exhibitfeatures by which EEG for seizure attacks can be clearlydistinguished from other EEG signals in the EMD domain.Thus, the proposed approach may aid researchers in developingeffective techniques to predict seizure activities. Index Terms—Electroencephalogram (EEG), empiricalmode decomposition (EMD), largest Lyapunov exponent (LLE),correlation dimension (CD), epileptic seizures. The Authors are with the Electrical and Electronic EngineeringDepartment, Bangladesh University of Engineering and Technology,Dhaka-1000, Bangladesh (e-mail: imamul@eee.buet.ac.bd) PDF Cite: S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed Tarek Shahriar, "EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain," International Journal of Computer and Electrical Engineering vol. 4, no. 3, pp. 326-330, 2012. PREVIOUS PAPER Perception of Emotions Using Constructive Learningthrough Speech NEXT PAPER Physical Layer Impairments Aware OVPN Connection Selection Mechanisms Copyright © 2008-2013. International Association of Computer Science and Information Technology Press (IACSIT Press) [O] . S. M. Shafiul Alam, Syed TarekShahriar 2012

机译：EEG信号在EMD域S. S. Shafiul Alam，S中的非线性动力学使用非线性动力学。 M. Shafiul Alam，Aurangozeb和Syed Tarekshahriar摘要 - 基于EMD Chaos的方法，提出了对应于健康人的EEG信号，癫痫发作期间的癫痫患者和Seizureattacks。脑电图（EEG）首先被凭经上分解为内在模式功能（IMF）。这些IMF的非线性动力学在最大范围的指数（LLE）和相关尺寸（CD）方面是量化的。本域中的混沌分析应用于与健康人相对应的大型脑电图（Asepileptic患者）（两者都有癫痫发作）。因此，所获得的LLE和CD表展的价值可以从EMD领域的其他EEG信号中清晰地区分脑电图的表达展示。本拟议的方法可以帮助研究人员以预测癫痫发作的癫痫发作技术。索引术语 - 脑电图（EEG），仿真态分解（EMD），最大的Lyapunov指数（LLE），相关维度（CD），癫痫发作。作者与电气电子和电子工程公司，孟加拉国工程和技术大学，孟加拉国达卡 - 1000（电子邮件：imamul@eee.buet.ac.bd）pdf cite：s. m. shafiul Alam，s。 M. Shafiul Alam，Aurangozeb和Syed Tarek Shahriar，“EEG信号歧视在EMD领域的非线性动态，”计算机电气工程卷国际杂志。 4，不。 3，pp。326-330,2012，上一篇论文对情绪的看法，使用建设性的学习言论下一篇论文物理层障碍意识到OVPN连接选择机制版权所有©2008-2013。国际计算机科学与信息技术协会出版社（IACSIT Press）

Sex-Related Differences in Perception and Discrimination of Different Speakers: An Analysis of the Auditory Dorsal Stream via EEG

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