Raju, N Purushotham
(Amrita School of Engineering, Amrita Vishwa Vidyapeetham,Dept of Electrical and Electronics Engineering,Bengaluru,India)
,
Venkatesh, U
(Amrita School of Engineering, Amrita Vishwa Vidyapeetham,Dept of Electrical and Electronics Engineering,Bengaluru,India)
,
Yadhav, Sudha
(Amrita School of Engineering, Amrita Vishwa Vidyapeetham,Dept of Electrical and Electronics Engineering,Bengaluru,India)
The human brain produces different electrical signals in response to the thinking process. These signals are captured using different techniques such as EEG, ECG, EMG, etc. Electroencephalography (EEG) is one of the technique which is being used widely. The data can be detected using EEG Caps, Neuro...
The human brain produces different electrical signals in response to the thinking process. These signals are captured using different techniques such as EEG, ECG, EMG, etc. Electroencephalography (EEG) is one of the technique which is being used widely. The data can be detected using EEG Caps, Neurosky Headset. The device used for the project under discussion is Neurosky Headset. The EEG signals Can be used to detect epilepsy, sleep disorders, stroke, head injury, dementia. The EEG signals captured by the headset are transmitted via Bluetooth to the laptop and interfaced with the MATLAB. The obtained signals are deduced to the required parameters which can help us to identify whether a patient is having insomnia or not.
The human brain produces different electrical signals in response to the thinking process. These signals are captured using different techniques such as EEG, ECG, EMG, etc. Electroencephalography (EEG) is one of the technique which is being used widely. The data can be detected using EEG Caps, Neurosky Headset. The device used for the project under discussion is Neurosky Headset. The EEG signals Can be used to detect epilepsy, sleep disorders, stroke, head injury, dementia. The EEG signals captured by the headset are transmitted via Bluetooth to the laptop and interfaced with the MATLAB. The obtained signals are deduced to the required parameters which can help us to identify whether a patient is having insomnia or not.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.