Reading Diary 3

10 Secure Brain-to-Brain Communication With Edge Computing for Assisting Post-Stroke Paralyzed Patients terms

Cognitive load: "Cognitive load" relates to the amount of information that working memory can hold at one time.; Example: Authors have proposed a system for distributing the cognitive load among all members of the group toward achieving a common task.; en: "Cognitive load" relates to the amount of information that working memory can hold at one time.
EEG Signal Extraction: The brain computer interface (BCI) can recognize human's intentions by collecting and extracting electroencephalogram (EEG) signal generated by the brain, then complete the information transmission and control tasks between the brain and external devices.; Example: Brain Computer interface uses EEG signal extraction process; en: The brain computer interface (BCI) can recognize human's intentions by collecting and extracting electroencephalogram (EEG) signal generated by the brain, then complete the information transmission and control tasks between the brain and external devices.
EEG Signal Processing: Image result for define EEG Signal Processing In general, pre-processing is the procedure of transforming raw data into a format that is more suitable for further analysis and interpretable for the user. In the case of EEG data, pre-processing usually refers to removing noise from the data to get closer to the true neural signals.; Example: The EEG signal preprocessing involves different techniques applied to reduce noise and eliminate artifacts so a clean signal is ready for the next step. Then a set of features is extracted from the signal using different methods (feature extraction). This set (feature vector) should describe the intentions of the user.; en: Image result for define EEG Signal Processing In general, pre-processing is the procedure of transforming raw data into a format that is more suitable for further analysis and interpretable for the user. In the case of EEG data, pre-processing usually refers to removing noise from the data to get closer to the true neural signals.
EEG Signal Reception: The method of signal acquisition is non-invasive, resulting in significant data loss and artifacts that must be reduced. In order to do this, a quantification method using Fast Fourier Transform (FFT) and Root Mean Square (RMS) for feature extraction are applied to improve the quality of the signal reception.; Example: Brain Computer interface uses EEG signal reception process.; en: The method of signal acquisition is non-invasive, resulting in significant data loss and artifacts that must be reduced. In order to do this, a quantification method using Fast Fourier Transform (FFT) and Root Mean Square (RMS) for feature extraction are applied to improve the quality of the signal reception.
EEG Wireless Transmission Unit: EEG sensors are placed on a participant's head, then the electrodes non-invasively detect brainwaves from the subject. EEG sensors can record up to several thousands of snapshots of the electrical activity generated in the brain within a single second.; Example: Wireless EEG signal transmission using visible light optical camera communication.; en: EEG sensors are placed on a participant's head, then the electrodes non-invasively detect brainwaves from the subject. EEG sensors can record up to several thousands of snapshots of the electrical activity generated in the brain within a single second.
Exoskeletons: An exoskeleton is the hard and stiff outer covering made up of chitin that protects an animal's body. Examples - crab and snail.; Example: Exoskeletons have been proposed in recent years as a possible solution to this issue.; en: An exoskeleton is the hard and stiff outer covering made up of chitin that protects an animal's body. Examples - crab and snail.
Invasive BCI: Invasive brain–computer interfaces (BCIs) have been developed to enable the direct communication between the brain and a computer or another external device. Unlike non-invasive BCI that have a lower spatial resolution, invasive BCI have the potential to record the activity of single neurons.; Example: The EEG features are used to identify the message or commands from the brain. The two methods used in BCI are invasive and non-invasive BCI.; en: Invasive brain–computer interfaces (BCIs) have been developed to enable the direct communication between the brain and a computer or another external device. Unlike non-invasive BCI that have a lower spatial resolution, invasive BCI have the potential to record the activity of single neurons.
Neuroplasticity: The ability of the brain to form and reorganize synaptic connections, especially in response to learning or experience or following injury.; Example: Progressive, task-specific, and repetitive training based on the principles of motor learning and neuroplasticity is carried out with the help of exoskeletons.; en: The ability of the brain to form and reorganize synaptic connections, especially in response to learning or experience or following injury.
Non-invasive BCI: A non-invasive brain-computer interface (BCI) is a device that allows users to send messages or commands to devices, friends, family, or others through direct, non-invasive measures of brain activity.; Example: The EEG features are used to identify the message or commands from the brain. The two methods used in BCI are invasive and non-invasive BCI.; en: A non-invasive brain-computer interface (BCI) is a device that allows users to send messages or commands to devices, friends, family, or others through direct, non-invasive measures of brain activity.
Novel Tiny Symmetric Algorithm (NTSA): It enhances the security features of TEA by introducing more key confusions. The keys are altered dynamically, thus making it secure from the intruders. Since the key is computed dynamically, the key values change during execution time and cannot be precomputed. This algorithm is then used in the proposed system for the secure transmission of information from the patient to the caregiver. As the computation happens at the edge of the network, it eliminates the delay in transmission and processing of the data that exists in systems with centralized data processing centers.; Example: The tiny encryption algorithm (TEA), which is one of the most widely used symmetric algorithms due to the ease of implementation and less memory utilization, is improved and used in the system as the novel tiny symmetric algorithm (NTSA).; en: It enhances the security features of TEA by introducing more key confusions. The keys are altered dynamically, thus making it secure from the intruders. Since the key is computed dynamically, the key values change during execution time and cannot be precomputed. This algorithm is then used in the proposed system for the secure transmission of information from the patient to the caregiver. As the computation happens at the edge of the network, it eliminates the delay in transmission and processing of the data that exists in systems with centralized data processing centers.