Listening to the Brain in Real Time-The Chengdu Brainwave Music

被引:0
|
作者
Dan WuYang Liuand DeZhong Yao are with the Key Laboratory for NeuroInformation of Ministry of EducationSchool of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduChina [610054 ]
机构
关键词
D O I
暂无
中图分类号
TP11 [自动化系统理论];
学科分类号
摘要
Electroencephalogram(EEG) provides a window for the activity of the human brain.As a novel form of the brain-computer interface(BCI),the online/offline EEG data may be interpreted through its auditory representation which can be considered as a specific tool in EEG monitoring and analysis.In this work,after a comprehensive comparison of the various designs of brainwave music generations,a waveform event mapping system for music display in real time- the Chengdu Brainwave Music(CBM) is proposed,which is a special on-line BCI system.In CBM,the user datagram protocol(UDP) is adopted to transport EEG data from the recorder to a music generator.The CBM could possibly be used as an audio feedback tool in BCI,or a monitoring tool in clinic EEG,and a subject specified music therapy method.
引用
收藏
页码:34 / 39
页数:6
相关论文
共 50 条
  • [41] An Approach to Estimate Cognitive State with the Impact of Listening Music on Brain Activity
    Islam, Monira
    Ahmad, Mohiuddin
    Yusuf, Md. Salah Uddin
    2015 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL INFORMATION AND COMMUNICATION TECHNOLOGY (EICT), 2015, : 152 - 157
  • [43] Real-Time Adaptive Equalization for Headphone Listening
    Liski, Juho
    Valimaki, Vesa
    Vesa, Sampo
    Vaananen, Riitta
    2017 25TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2017, : 608 - 612
  • [44] QUANTIFICATION OF BRAIN REGION FUNCTIONAL CONNECTIVITY WHEN LISTENING TO FAMILIAR AND UNFAMILIAR MUSIC: OPTIMIZING THE THERAPEUTIC ROLE OF MUSIC LISTENING FOR STROKE REHABILITATION AND PREVENTION
    Karmonik, C.
    Brandt, A.
    Silverman, E.
    Volpi, J.
    Frazier, J.
    INTERNATIONAL JOURNAL OF STROKE, 2016, 11 (SUPP 3) : 100 - 100
  • [45] Music controller for real time performance
    Chong, U
    Lee, C
    IMTC 2002: PROCEEDINGS OF THE 19TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1 & 2, 2002, : 991 - 995
  • [46] MULTIPROCESSING MUSIC IN REAL-TIME
    SCHMID, M
    COMPUTER DESIGN, 1991, 30 (14): : 67 - 67
  • [47] Inside Project Brainwave's Cloud-Scale, Real-Time AI Processor
    Fowers, Jeremy
    Ovtcharov, Kalin
    Papamichael, Michael K.
    Massengill, Todd
    Liu, Ming
    Lo, Daniel
    Alkalay, Shlomi
    Haselman, Michael
    Adams, Logan
    Ghandi, Mahdi
    Heil, Stephen
    Patel, Prerak
    Sapek, Adam
    Weisz, Gabriel
    Woods, Lisa
    Lanka, Sitaram
    Reinhardt, Steven K.
    Caulfield, Adrian M.
    Chung, Eric S.
    Burger, Doug
    IEEE MICRO, 2019, 39 (03) : 20 - 28
  • [48] The Hybrid Brain Computer Music Interface Integrating - Brainwave Detection Methods for Extended Control in Musical Performance Systems
    Eaton, Joel
    Miranda, Eduardo R.
    MUSIC, MIND, AND EMBODIMENT, 2016, 9617 : 132 - 145
  • [49] Understanding the Effect of Listening to Music, Playing Music, and Singing on Brain Function: A Scoping Review of fNIRS Studies
    Ding, Keya
    Li, Jingwen
    Li, Xuemei
    Li, Hui
    BRAIN SCIENCES, 2024, 14 (08)
  • [50] The effect of cellular telephone conversation and music listening on response time in braking
    Bellinger, David B.
    Budde, Bradley M.
    Machida, Moe
    Richardson, Gary B.
    Berg, William P.
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2009, 12 (06) : 441 - 451