DocumentCode
1767056
Title
An intelligent brain machine interface with wireless micro-stimulation and neural recording
Author
Hung-Chih Chiu ; Yi-Ting Lee ; Chi-Fen Chuang ; Yen-Chung Chang ; Shih-Rung Yeh ; Po-Chiun Huang ; Hsi-Pin Ma
Author_Institution
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
fYear
2014
fDate
1-4 June 2014
Firstpage
460
Lastpage
463
Abstract
This work presents an intelligent wireless brain machine interface with a biomedical core, two-channel micro-stimulating and neural recording. The biomedical core provides programmable discrete wavelet transform (DWT), DC removal and stimulation parameters setting and control. Neural stimulation is accomplished via voltage-controlled stimulation (VCS). With the proposed system, we can record and stimulate from the same neural electrodes, which can significantly reduce the stimulation artifact. Neural signals are time-division-multiplexed sampled by an A/D converter at a maximum rate of 4k samples per channel. The stimulation and recording of each channel can be controlled by a graphical user interface (GUI) on a laptop, and different types of neural signals can be observed independently.
Keywords
analogue-digital conversion; bioelectric potentials; biomedical electrodes; brain; brain-computer interfaces; discrete wavelet transforms; graphical user interfaces; medical control systems; neurophysiology; patient treatment; time division multiplexing; voltage control; A/D converter; biomedical core; graphical user interface; intelligent wireless brain machine interface; laptop; neural electrodes; neural signals; programmable discrete wavelet transform; time-division-multiplex sampling; two-channel microstimulation; two-channel neural recording; voltage-controlled stimulation; Discrete wavelet transforms; Electrodes; Feature extraction; Frequency modulation; Voltage control; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on
Conference_Location
Valencia
Type
conf
DOI
10.1109/BHI.2014.6864402
Filename
6864402
Link To Document