Multichannel-recordings and real-time current source density (CSD) analysis in the central-nervous system of insects

1982 ◽  
Vol 45 (2) ◽  
pp. 115-121 ◽  
Author(s):  
Joachim Breckow ◽  
Klaus Kalmring ◽  
Reinhard Eckhorn
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Real Time ◽  
Current Source ◽  
Current Source Density ◽  
Source Density ◽  
The Central Nervous System ◽  
Multichannel Recordings

scholarly journals Interventional MRI-guided catheter placement and real time drug delivery to the central nervous system

2016 ◽  
Vol 16 (6) ◽  
pp. 635-639 ◽  
Author(s):  
Seunggu J. Han ◽  
Krystof Bankiewicz ◽  
Nicholas A. Butowski ◽  
Paul S. Larson ◽  
Manish K. Aghi
Keyword(s):  
Drug Delivery ◽  
Central Nervous System ◽  
Nervous System ◽  
Real Time ◽  
Interventional Mri ◽  
Catheter Placement ◽  
The Central Nervous System ◽  
Mri Guided

scholarly journals Release of ATP in the central nervous system during systemic inflammation: real-time measurement in the hypothalamus of conscious rabbits

2007 ◽  
Vol 585 (1) ◽  
pp. 305-316 ◽  
Author(s):  
Alexander V. Gourine ◽  
Nicholas Dale ◽  
Enrique Llaudet ◽  
Dmitry M. Poputnikov ◽  
K. Michael Spyer ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Real Time ◽  
Systemic Inflammation ◽  
Time Measurement ◽  
Real Time Measurement ◽  
The Central Nervous System ◽  
Conscious Rabbits

Real-time measurements of vesicle-SNARE recycling in synapses of the central nervous system

2000 ◽  
Vol 2 (4) ◽  
pp. 197-204 ◽  
Author(s):  
Sethuraman Sankaranarayanan ◽  
Timothy A. Ryan
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Real Time ◽  
The Central Nervous System

scholarly journals Brainwave assistive system for paralyzed individuals

2021 ◽  
Vol 2 (3) ◽  
pp. 79-89
Author(s):  
Md Ahnaf Shariar ◽  
Syeda Maliha Monowara ◽  
Md. Shafayat Ul Islam ◽  
Muhammed Junaid Noor Jawad ◽  
Saifur Rahman Sabuj
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Real Time ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Cursor Control ◽  
Eeg Data ◽  
The Central Nervous System ◽  
The Brain ◽  
Real Time Application

The Brain-Computer Interface (BCI) is a system based on brainwaves that can be used to translate and comprehend the innumerable activities of the brain. Brainwave refers to the bioelectric impulses invariably produced in the human brain during neurotransmission, often measured as the action potential. Moreover, BCI essentially uses the widely studied Electroencephalography (EEG) technique to capture brainwave data. Paralysis generally occurs when there is a disturbance in the central nervous system prompted by a neurodegenerative or unforeseen event. To overcome the obstacles associated with paralysis, this paper on the brainwave-assistive system is based on the BCI incorporated with Internet-of-things. BCI can be implemented to achieve control over external devices and applications. For instance, the process of cursor control, motor control, neuroprosthetics and wheelchair control, etc. In this paper, the OpenBCI Cyton-biosensing board has been used for the collection of the EEG data. The accumulated EEG data is executed subsequently to obtain control over the respective systems in real-time. Hence, it can be concluded that the experiments of the paper support the idea of controlling an interfaced system through the real-time application of EEG data.

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