Projects - User contributions [en]

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T12:50:56Z

A1682984: /* Introduction */

== Background ==

'''What is a BCI'''

The brain-computer interface(BCI) is a collaboration between the brain and a device that allows signals from the brain to direct some external activity, such as controlling a cursor or a prosthetic limb. This interface enables direct communication between the brain and the controlled object.

'''What are the types of BCI'''

There are many different techniques to measure brain signals.
We can divide them into Non-Invasive, Semi-invasive and Invasive.
[http://learn.neurotechedu.com/introtobci/]

'''The Brain and Neural Oscillations'''

'''Neuroimaging approaches in BCI'''[https://www.researchgate.net/publication/46109898]

1. Electroencephalography (EEG) measures the difference in potential on the scalp due to neural activity, which is the sum of thousands or millions of cortical neurons' postsynaptic excitatory potential and inhibitory potential.

2. Magnetoencephalography (MEG) measures magnetic field differences related to neuron activity.

3. Functional Magnetic Resonance Imaging (fMRI) was used to detect changes in local cerebral blood volume, cerebral blood flow and oxygenation level during neuron activation.

4. Near Infrared Spectroscopy (NIRS) USES the characteristics of light in the near infrared spectrum to penetrate the skull to a considerable depth for the study of brain metabolism. It can detect the change of hemoglobin concentration in the process of local nerve activity in different wavelengths of weak light intensity.

== Introduction ==

'''Motivation'''

'''Previous UOA students Work'''

They redesign a flexible headset using an elastic strap to hold the electrodes. and try to develop the bci software, but due to the limit of time, they haven't finish all the features, such as classifiers and the function of Data Tab on the bci framework. they also develop a new mechanical 3D glove and test their system in a third-party software platform OpenViBE.

'''Objective'''

== References ==
1. http://learn.neurotechedu.com/introtobci/

2. Byoung-Kyong Min, Matthew J. Marzelli and Seung-Schik Yoo (2010) Neuroimaging-based approaches in the brain–computer interface, Available at: https://www.researchgate.net/publication/46109898 (Accessed: 12/4/2019).

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T12:50:24Z

A1682984: /* Introduction */

== Background ==

'''What is a BCI'''

The brain-computer interface(BCI) is a collaboration between the brain and a device that allows signals from the brain to direct some external activity, such as controlling a cursor or a prosthetic limb. This interface enables direct communication between the brain and the controlled object.

'''What are the types of BCI'''

There are many different techniques to measure brain signals.
We can divide them into Non-Invasive, Semi-invasive and Invasive.
[http://learn.neurotechedu.com/introtobci/]

'''The Brain and Neural Oscillations'''

'''Neuroimaging approaches in BCI'''[https://www.researchgate.net/publication/46109898]

1. Electroencephalography (EEG) measures the difference in potential on the scalp due to neural activity, which is the sum of thousands or millions of cortical neurons' postsynaptic excitatory potential and inhibitory potential.

2. Magnetoencephalography (MEG) measures magnetic field differences related to neuron activity.

3. Functional Magnetic Resonance Imaging (fMRI) was used to detect changes in local cerebral blood volume, cerebral blood flow and oxygenation level during neuron activation.

4. Near Infrared Spectroscopy (NIRS) USES the characteristics of light in the near infrared spectrum to penetrate the skull to a considerable depth for the study of brain metabolism. It can detect the change of hemoglobin concentration in the process of local nerve activity in different wavelengths of weak light intensity.

== Introduction ==

'''Motivation'''

'''Previous UOA students Work'''

They redesign a flexible headset using elastic strap to hold the electrodes. and try to develop the bci software, but due to the limit of time, they have't finish all the features, such as classifiers and the function of Data Tab on the bci framwork. they also develop a new mechanical 3D glove and test their system in a third-party software platform OpenViBE.

'''Objective'''

== References ==
1. http://learn.neurotechedu.com/introtobci/

2. Byoung-Kyong Min, Matthew J. Marzelli and Seung-Schik Yoo (2010) Neuroimaging-based approaches in the brain–computer interface, Available at: https://www.researchgate.net/publication/46109898 (Accessed: 12/4/2019).

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T05:41:22Z

A1682984: /* Introduction */

== Background ==

'''What is a BCI'''

The brain-computer interface(BCI) is a collaboration between the brain and a device that allows signals from the brain to direct some external activity, such as controlling a cursor or a prosthetic limb. This interface enables direct communication between the brain and the controlled object.

'''What are the types of BCI'''

There are many different techniques to measure brain signals.
We can divide them into Non-Invasive, Semi-invasive and Invasive.
[http://learn.neurotechedu.com/introtobci/]

'''The Brain and Neural Oscillations'''

'''Neuroimaging approaches in BCI'''[https://www.researchgate.net/publication/46109898]

1. Electroencephalography (EEG) measures the difference in potential on the scalp due to neural activity, which is the sum of thousands or millions of cortical neurons' postsynaptic excitatory potential and inhibitory potential.

2. Magnetoencephalography (MEG) measures magnetic field differences related to neuron activity.

3. Functional Magnetic Resonance Imaging (fMRI) was used to detect changes in local cerebral blood volume, cerebral blood flow and oxygenation level during neuron activation.

4. Near Infrared Spectroscopy (NIRS) USES the characteristics of light in the near infrared spectrum to penetrate the skull to a considerable depth for the study of brain metabolism. It can detect the change of hemoglobin concentration in the process of local nerve activity in different wavelengths of weak light intensity.

== Introduction ==

'''Motivation'''

'''Previous UOA students Work'''

'''Objective'''

== References ==
1. http://learn.neurotechedu.com/introtobci/

2. Byoung-Kyong Min, Matthew J. Marzelli and Seung-Schik Yoo (2010) Neuroimaging-based approaches in the brain–computer interface, Available at: https://www.researchgate.net/publication/46109898 (Accessed: 12/4/2019).

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T05:36:47Z

A1682984: /* References */

== Background ==

'''What is a BCI'''

The brain-computer interface(BCI) is a collaboration between the brain and a device that allows signals from the brain to direct some external activity, such as controlling a cursor or a prosthetic limb. This interface enables direct communication between the brain and the controlled object.

'''What are the types of BCI'''

There are many different techniques to measure brain signals.
We can divide them into Non-Invasive, Semi-invasive and Invasive.
[http://learn.neurotechedu.com/introtobci/]

'''The Brain and Neural Oscillations'''

'''Neuroimaging approaches in BCI'''[https://www.researchgate.net/publication/46109898]

1. Electroencephalography (EEG) measures the difference in potential on the scalp due to neural activity, which is the sum of thousands or millions of cortical neurons' postsynaptic excitatory potential and inhibitory potential.

2. Magnetoencephalography (MEG) measures magnetic field differences related to neuron activity.

3. Functional Magnetic Resonance Imaging (fMRI) was used to detect changes in local cerebral blood volume, cerebral blood flow and oxygenation level during neuron activation.

4. Near Infrared Spectroscopy (NIRS) USES the characteristics of light in the near infrared spectrum to penetrate the skull to a considerable depth for the study of brain metabolism. It can detect the change of hemoglobin concentration in the process of local nerve activity in different wavelengths of weak light intensity.

== Introduction ==

== References ==
1. http://learn.neurotechedu.com/introtobci/

2. Byoung-Kyong Min, Matthew J. Marzelli and Seung-Schik Yoo (2010) Neuroimaging-based approaches in the brain–computer interface, Available at: https://www.researchgate.net/publication/46109898 (Accessed: 12/4/2019).

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T05:36:26Z

A1682984:

== Background ==

'''What is a BCI'''

The brain-computer interface(BCI) is a collaboration between the brain and a device that allows signals from the brain to direct some external activity, such as controlling a cursor or a prosthetic limb. This interface enables direct communication between the brain and the controlled object.

'''What are the types of BCI'''

There are many different techniques to measure brain signals.
We can divide them into Non-Invasive, Semi-invasive and Invasive.
[http://learn.neurotechedu.com/introtobci/]

'''The Brain and Neural Oscillations'''

'''Neuroimaging approaches in BCI'''[https://www.researchgate.net/publication/46109898]

1. Electroencephalography (EEG) measures the difference in potential on the scalp due to neural activity, which is the sum of thousands or millions of cortical neurons' postsynaptic excitatory potential and inhibitory potential.

2. Magnetoencephalography (MEG) measures magnetic field differences related to neuron activity.

3. Functional Magnetic Resonance Imaging (fMRI) was used to detect changes in local cerebral blood volume, cerebral blood flow and oxygenation level during neuron activation.

4. Near Infrared Spectroscopy (NIRS) USES the characteristics of light in the near infrared spectrum to penetrate the skull to a considerable depth for the study of brain metabolism. It can detect the change of hemoglobin concentration in the process of local nerve activity in different wavelengths of weak light intensity.

== Introduction ==

== References ==
1. http://learn.neurotechedu.com/introtobci/
2. Byoung-Kyong Min, Matthew J. Marzelli and Seung-Schik Yoo (2010) Neuroimaging-based approaches in the brain–computer interface, Available at: https://www.researchgate.net/publication/46109898 (Accessed: 12/4/2019).

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T05:35:52Z

A1682984: /* Background */

== Background ==

'''What is a BCI'''

The brain-computer interface(BCI) is a collaboration between the brain and a device that allows signals from the brain to direct some external activity, such as controlling a cursor or a prosthetic limb. This interface enables direct communication between the brain and the controlled object.

'''What are the types of BCI'''

There are many different techniques to measure brain signals.
We can divide them into Non-Invasive, Semi-invasive and Invasive.
[http://learn.neurotechedu.com/introtobci/]

'''The Brain and Neural Oscillations'''

'''Neuroimaging approaches in BCI'''[https://www.researchgate.net/publication/46109898]

1. Electroencephalography (EEG) measures the difference in potential on the scalp due to neural activity, which is the sum of thousands or millions of cortical neurons' postsynaptic excitatory potential and inhibitory potential.

2. Magnetoencephalography (MEG) measures magnetic field differences related to neuron activity.

3. Functional Magnetic Resonance Imaging (fMRI) was used to detect changes in local cerebral blood volume, cerebral blood flow and oxygenation level during neuron activation.

4. Near Infrared Spectroscopy (NIRS) USES the characteristics of light in the near infrared spectrum to penetrate the skull to a considerable depth for the study of brain metabolism. It can detect the change of hemoglobin concentration in the process of local nerve activity in different wavelengths of weak light intensity.

== References ==
1. http://learn.neurotechedu.com/introtobci/
2. Byoung-Kyong Min, Matthew J. Marzelli and Seung-Schik Yoo (2010) Neuroimaging-based approaches in the brain–computer interface, Available at: https://www.researchgate.net/publication/46109898 (Accessed: 12/4/2019).

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T05:32:19Z

A1682984: /* Background */

== Background ==

'''What is a BCI'''

The brain-computer interface(BCI) is a collaboration between the brain and a device that allows signals from the brain to direct some external activity, such as controlling a cursor or a prosthetic limb. This interface enables direct communication between the brain and the controlled object.

'''What are the types of BCI'''

There are many different techniques to measure brain signals.
We can divide them into Non-Invasive, Semi-invasive and Invasive.
[http://learn.neurotechedu.com/introtobci/]

'''Neuroimaging approaches in BCI'''[https://www.researchgate.net/publication/46109898]

1. Electroencephalography (EEG) measures the difference in potential on the scalp due to neural activity, which is the sum of thousands or millions of cortical neurons' postsynaptic excitatory potential and inhibitory potential.

2. Magnetoencephalography (MEG) measures magnetic field differences related to neuron activity.

3. Functional Magnetic Resonance Imaging (fMRI) was used to detect changes in local cerebral blood volume, cerebral blood flow and oxygenation level during neuron activation.

4. Near Infrared Spectroscopy (NIRS) USES the characteristics of light in the near infrared spectrum to penetrate the skull to a considerable depth for the study of brain metabolism. It can detect the change of hemoglobin concentration in the process of local nerve activity in different wavelengths of weak light intensity.

== References ==
1. http://learn.neurotechedu.com/introtobci/
2. Byoung-Kyong Min, Matthew J. Marzelli and Seung-Schik Yoo (2010) Neuroimaging-based approaches in the brain–computer interface, Available at: https://www.researchgate.net/publication/46109898 (Accessed: 12/4/2019).

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T05:31:56Z

A1682984: /* Background */

== Background ==

'''What is a BCI'''

The brain-computer interface(BCI) is a collaboration between the brain and a device that allows signals from the brain to direct some external activity, such as controlling a cursor or a prosthetic limb. This interface enables direct communication between the brain and the controlled object.

'''What are the types of BCI'''
There are many different techniques to measure brain signals.

We can divide them into Non-Invasive, Semi-invasive and Invasive.
[http://learn.neurotechedu.com/introtobci/]

'''Neuroimaging approaches in BCI'''[https://www.researchgate.net/publication/46109898]

1. Electroencephalography (EEG) measures the difference in potential on the scalp due to neural activity, which is the sum of thousands or millions of cortical neurons' postsynaptic excitatory potential and inhibitory potential.

2. Magnetoencephalography (MEG) measures magnetic field differences related to neuron activity.

3. Functional Magnetic Resonance Imaging (fMRI) was used to detect changes in local cerebral blood volume, cerebral blood flow and oxygenation level during neuron activation.

4. Near Infrared Spectroscopy (NIRS) USES the characteristics of light in the near infrared spectrum to penetrate the skull to a considerable depth for the study of brain metabolism. It can detect the change of hemoglobin concentration in the process of local nerve activity in different wavelengths of weak light intensity.

== References ==
1. http://learn.neurotechedu.com/introtobci/
2. Byoung-Kyong Min, Matthew J. Marzelli and Seung-Schik Yoo (2010) Neuroimaging-based approaches in the brain–computer interface, Available at: https://www.researchgate.net/publication/46109898 (Accessed: 12/4/2019).

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T05:31:43Z

A1682984: /* References */

== Background ==

'''What is a BCI'''

The brain-computer interface(BCI) is a collaboration between the brain and a device that allows signals from the brain to direct some external activity, such as controlling a cursor or a prosthetic limb. This interface enables direct communication between the brain and the controlled object.

'''What are the types of BCI'''
There are many different techniques to measure brain signals.

We can divide them into Non-Invasive, Semi-invasive and Invasive.
[http://learn.neurotechedu.com/introtobci/]

'''Neuroimaging approaches in BCI'''[1]

1. Electroencephalography (EEG) measures the difference in potential on the scalp due to neural activity, which is the sum of thousands or millions of cortical neurons' postsynaptic excitatory potential and inhibitory potential.

2. Magnetoencephalography (MEG) measures magnetic field differences related to neuron activity.

3. Functional Magnetic Resonance Imaging (fMRI) was used to detect changes in local cerebral blood volume, cerebral blood flow and oxygenation level during neuron activation.

4. Near Infrared Spectroscopy (NIRS) USES the characteristics of light in the near infrared spectrum to penetrate the skull to a considerable depth for the study of brain metabolism. It can detect the change of hemoglobin concentration in the process of local nerve activity in different wavelengths of weak light intensity.

== References ==
1. http://learn.neurotechedu.com/introtobci/
2. Byoung-Kyong Min, Matthew J. Marzelli and Seung-Schik Yoo (2010) Neuroimaging-based approaches in the brain–computer interface, Available at: https://www.researchgate.net/publication/46109898 (Accessed: 12/4/2019).

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T05:30:56Z

A1682984: /* Background */

== Background ==

'''What is a BCI'''

The brain-computer interface(BCI) is a collaboration between the brain and a device that allows signals from the brain to direct some external activity, such as controlling a cursor or a prosthetic limb. This interface enables direct communication between the brain and the controlled object.

'''What are the types of BCI'''
There are many different techniques to measure brain signals.

We can divide them into Non-Invasive, Semi-invasive and Invasive.
[http://learn.neurotechedu.com/introtobci/]

'''Neuroimaging approaches in BCI'''[1]

1. Electroencephalography (EEG) measures the difference in potential on the scalp due to neural activity, which is the sum of thousands or millions of cortical neurons' postsynaptic excitatory potential and inhibitory potential.

2. Magnetoencephalography (MEG) measures magnetic field differences related to neuron activity.

3. Functional Magnetic Resonance Imaging (fMRI) was used to detect changes in local cerebral blood volume, cerebral blood flow and oxygenation level during neuron activation.

4. Near Infrared Spectroscopy (NIRS) USES the characteristics of light in the near infrared spectrum to penetrate the skull to a considerable depth for the study of brain metabolism. It can detect the change of hemoglobin concentration in the process of local nerve activity in different wavelengths of weak light intensity.

== References ==

1. Byoung-Kyong Min, Matthew J. Marzelli and Seung-Schik Yoo (2010) Neuroimaging-based approaches in the brain–computer interface, Available at: https://www.researchgate.net/publication/46109898 (Accessed: 12/4/2019).

File:Type of bci.png

2019-04-14T05:28:34Z

A1682984:

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T05:28:19Z

A1682984: /* Background */

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T05:27:20Z

A1682984: /* Background */

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T05:22:44Z

A1682984: /* Background */

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T05:21:41Z

A1682984: /* Background */

== Background ==

'''BCI'''
The brain-computer interface is a collaboration between the brain and a device that allows signals from the brain to direct some external activity, such as controlling a cursor or a prosthetic limb. This interface enables direct communication between the brain and the controlled object.

'''Neuroimaging approaches in BCI'''[1]

1. Electroencephalography (EEG) measures the difference in potential on the scalp due to neural activity, which is the sum of thousands or millions of cortical neurons' postsynaptic excitatory potential and inhibitory potential.

2. Magnetoencephalography (MEG) measures magnetic field differences related to neuron activity.

3. Functional Magnetic Resonance Imaging (fMRI) was used to detect changes in local cerebral blood volume, cerebral blood flow and oxygenation level during neuron activation.

4. Near Infrared Spectroscopy (NIRS) USES the characteristics of light in the near infrared spectrum to penetrate the skull to a considerable depth for the study of brain metabolism. It can detect the change of hemoglobin concentration in the process of local nerve activity in different wavelengths of weak light intensity.

== References ==

1. Byoung-Kyong Min, Matthew J. Marzelli and Seung-Schik Yoo (2010) Neuroimaging-based approaches in the brain–computer interface, Available at: https://www.researchgate.net/publication/46109898 (Accessed: 12/4/2019).

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T05:21:02Z

A1682984: /* Background */

== Background ==

'''BCI'''
The brain-computer interface (BCI) is a collaboration between the brain and a device that allows signals from the brain to direct some external activity, such as controlling a cursor or a prosthetic limb. This interface enables direct communication between the brain and the controlled object.

'''Neuroimaging approaches in BCI'''[1]

1. Electroencephalography (EEG) measures the difference in potential on the scalp due to neural activity, which is the sum of thousands or millions of cortical neurons' postsynaptic excitatory potential and inhibitory potential.

2. Magnetoencephalography (MEG) measures magnetic field differences related to neuron activity.

3. Functional Magnetic Resonance Imaging (fMRI) was used to detect changes in local cerebral blood volume, cerebral blood flow and oxygenation level during neuron activation.

4. Near Infrared Spectroscopy (NIRS) USES the characteristics of light in the near infrared spectrum to penetrate the skull to a considerable depth for the study of brain metabolism. It can detect the change of hemoglobin concentration in the process of local nerve activity in different wavelengths of weak light intensity.

== References ==

1. Byoung-Kyong Min, Matthew J. Marzelli and Seung-Schik Yoo (2010) Neuroimaging-based approaches in the brain–computer interface, Available at: https://www.researchgate.net/publication/46109898 (Accessed: 12/4/2019).

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T05:16:56Z

A1682984: /* Introduction */

== Background ==

'''Neuroimaging approaches in BCI'''[1]

1. Electroencephalography (EEG) measures the difference in potential on the scalp due to neural activity, which is the sum of thousands or millions of cortical neurons' postsynaptic excitatory potential and inhibitory potential.

2. Magnetoencephalography (MEG) measures magnetic field differences related to neuron activity.

3. Functional Magnetic Resonance Imaging (fMRI) was used to detect changes in local cerebral blood volume, cerebral blood flow and oxygenation level during neuron activation.

4. Near Infrared Spectroscopy (NIRS) USES the characteristics of light in the near infrared spectrum to penetrate the skull to a considerable depth for the study of brain metabolism. It can detect the change of hemoglobin concentration in the process of local nerve activity in different wavelengths of weak light intensity.

== References ==

1. Byoung-Kyong Min, Matthew J. Marzelli and Seung-Schik Yoo (2010) Neuroimaging-based approaches in the brain–computer interface, Available at: https://www.researchgate.net/publication/46109898 (Accessed: 12/4/2019).

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T05:14:22Z

A1682984: /* Introduction */

== Introduction ==

'''Neuroimaging approaches in BCI'''[1]

1. Electroencephalography (EEG) measures the difference in potential on the scalp due to neural activity, which is the sum of thousands or millions of cortical neurons' postsynaptic excitatory potential and inhibitory potential.

2. Magnetoencephalography (MEG) measures magnetic field differences related to neuron activity.

3. Functional Magnetic Resonance Imaging (fMRI) was used to detect changes in local cerebral blood volume, cerebral blood flow and oxygenation level during neuron activation.

4. Near Infrared Spectroscopy (NIRS) USES the characteristics of light in the near infrared spectrum to penetrate the skull to a considerable depth for the study of brain metabolism. It can detect the change of hemoglobin concentration in the process of local nerve activity in different wavelengths of weak light intensity.

== References ==

1. Byoung-Kyong Min, Matthew J. Marzelli and Seung-Schik Yoo (2010) Neuroimaging-based approaches in the brain–computer interface, Available at: https://www.researchgate.net/publication/46109898 (Accessed: 12/4/2019).

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T05:13:29Z

A1682984: /* Neuroimaging approaches in BCI */

== Introduction ==

[[Neuroimaging approaches in BCI]][1]

1. Electroencephalography (EEG) measures the difference in potential on the scalp due to neural activity, which is the sum of thousands or millions of cortical neurons' postsynaptic excitatory potential and inhibitory potential.

2. Magnetoencephalography (MEG) measures magnetic field differences related to neuron activity.

3. Functional Magnetic Resonance Imaging (fMRI) was used to detect changes in local cerebral blood volume, cerebral blood flow and oxygenation level during neuron activation.

4. Near Infrared Spectroscopy (NIRS) USES the characteristics of light in the near infrared spectrum to penetrate the skull to a considerable depth for the study of brain metabolism. It can detect the change of hemoglobin concentration in the process of local nerve activity in different wavelengths of weak light intensity.

== References ==

1. Byoung-Kyong Min, Matthew J. Marzelli and Seung-Schik Yoo (2010) Neuroimaging-based approaches in the brain–computer interface, Available at: https://www.researchgate.net/publication/46109898 (Accessed: 12/4/2019).

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T05:12:47Z

A1682984: /* Neuroimaging approaches in BCI */

== Introduction ==

== Neuroimaging approaches in BCI ==
[1]

1. Electroencephalography (EEG) measures the difference in potential on the scalp due to neural activity, which is the sum of thousands or millions of cortical neurons' postsynaptic excitatory potential and inhibitory potential.

2. Magnetoencephalography (MEG) measures magnetic field differences related to neuron activity.

3. Functional Magnetic Resonance Imaging (fMRI) was used to detect changes in local cerebral blood volume, cerebral blood flow and oxygenation level during neuron activation.

4. Near Infrared Spectroscopy (NIRS) USES the characteristics of light in the near infrared spectrum to penetrate the skull to a considerable depth for the study of brain metabolism. It can detect the change of hemoglobin concentration in the process of local nerve activity in different wavelengths of weak light intensity.

== References ==

1. Byoung-Kyong Min, Matthew J. Marzelli and Seung-Schik Yoo (2010) Neuroimaging-based approaches in the brain–computer interface, Available at: https://www.researchgate.net/publication/46109898 (Accessed: 12/4/2019).

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T05:11:43Z

A1682984:

== Introduction ==

== Neuroimaging approaches in BCI ==
[1]

1. Electroencephalography (EEG) measures the difference in potential on the scalp due to neural activity, which is the sum of thousands or millions of cortical neurons' postsynaptic excitatory potential and inhibitory potential.
2. Magnetoencephalography (MEG) measures magnetic field differences related to neuron activity.
3. Functional Magnetic Resonance Imaging (fMRI) was used to detect changes in local cerebral blood volume, cerebral blood flow and oxygenation level during neuron activation.
4. Near Infrared Spectroscopy (NIRS) USES the characteristics of light in the near infrared spectrum to penetrate the skull to a considerable depth for the study of brain metabolism. It can detect the change of hemoglobin concentration in the process of local nerve activity in different wavelengths of weak light intensity.

== References ==

1. Byoung-Kyong Min, Matthew J. Marzelli and Seung-Schik Yoo (2010) Neuroimaging-based approaches in the brain–computer interface, Available at: https://www.researchgate.net/publication/46109898 (Accessed: 12/4/2019).

Projects:2019s1-155 Brain Computer Interface Control for Biomedical Applications

2019-04-14T04:48:37Z

A1682984: Created page with " Introduction Neuroimaging approaches in BCI [1] 1. Electroencephalography (EEG) measures the difference in potential on the scalp due to neural activity, which is the sum..."

Introduction

Neuroimaging approaches in BCI [1]

1. Electroencephalography (EEG) measures the difference in potential on the scalp due to neural activity, which is the sum of thousands or millions of cortical neurons' postsynaptic excitatory potential and inhibitory potential.
2. Magnetoencephalography (MEG) measures magnetic field differences related to neuron activity.
3. Functional Magnetic Resonance Imaging (fMRI) was used to detect changes in local cerebral blood volume, cerebral blood flow and oxygenation level during neuron activation.
4. Near Infrared Spectroscopy (NIRS) USES the characteristics of light in the near infrared spectrum to penetrate the skull to a considerable depth for the study of brain metabolism. It can detect the change of hemoglobin concentration in the process of local nerve activity in different wavelengths of weak light intensity.

References
1. Byoung-Kyong Min, Matthew J. Marzelli and Seung-Schik Yoo (2010) Neuroimaging-based approaches in the brain–computer interface, Available at: https://www.researchgate.net/publication/46109898 (Accessed: 12/4/2019).