Sequence-based manipulation of robotic arm control in brain machine interface

2018 ◽  
Vol 2 (2) ◽  
pp. 149-160 ◽  
Author(s):  
Justin Kilmarx ◽  
Reza Abiri ◽  
Soheil Borhani ◽  
Yang Jiang ◽  
Xiaopeng Zhao
2017 ◽  
Vol 11 ◽  
Author(s):  
Hong Zeng ◽  
Yanxin Wang ◽  
Changcheng Wu ◽  
Aiguo Song ◽  
Jia Liu ◽  
...  

2013 ◽  
pp. 1535-1548
Author(s):  
Masayuki Hirata ◽  
Takufumi Yanagisawa ◽  
Kojiro Matsushita ◽  
Hisato Sugata ◽  
Yukiyasu Kamitani ◽  
...  

The brain-machine interface (BMI) enables us to control machines and to communicate with others, not with the use of input devices, but through the direct use of brain signals. This chapter describes the integrative approach the authors used to develop a BMI system with brain surface electrodes for real-time robotic arm control in severely disabled people, such as amyotrophic lateral sclerosis patients. This integrative BMI approach includes effective brain signal recording, accurate neural decoding, robust robotic control, a wireless and fully implantable device, and a noninvasive evaluation of surgical indications.


Author(s):  
Daniel Prince ◽  
Mark Edmonds ◽  
Andrew Sutter ◽  
Matthew Cusumano ◽  
Wenjie Lu ◽  
...  

2015 ◽  
Vol 72 ◽  
pp. 181-188 ◽  
Author(s):  
Enrique Hortal ◽  
Eduardo Iáñez ◽  
Andrés Úbeda ◽  
Carlos Perez-Vidal ◽  
José M. Azorín

Author(s):  
Sidhika Varshney ◽  
Bhoomika Gaur ◽  
Omar Farooq ◽  
Yusuf Uzzaman Khan

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