Zero Base Training Report

The brain consists of billions of neurones and trillions of connections. Those neurones are able to ‘represent’ things

Analysis of the data using envelopes within alpha, beta and theta frequency bands, spectral features within single bands, and spectrograms in present-day work show that EEG gives considerable information on imagined

During weapons operations an out of range test lead to entering Immediate Action Procedures (IAP) as directed by the procedure. Prior to connecting the PT-4030 tester to the weapon, a bench test was performed to verify the tester was in good working order and would not introduce an unknown power source into the unit. During the bench test the PT-4030 was connected to a detonator simulator. The acceptance criteria for this test was 3-10 ohms across the simulator. Instead the tester gave an out of range reading leading to performing IAPs. The procedure has a note that instructs PTs that if the upcoming test is outside to range then IAPs are enter following option 2 of the procedure decision tree. The option 2 has two steps, the first is the notify the Operations Center (OC) and let them know that they experienced an out of range test and the second step is to discontinue work. Both of these steps were performed, how there seemed to be a delay and some confusion of entering the IAP.

The examination was done in the lab of Richard Andersen, James G. Boswell Professor of Neuroscience, T&C Chen Brain-Machine Interface Center Leadership Chair, and executive of the T&C Chen Brain-Machine Interface Center. A paper portraying the work shows up in the April 10 issue of the diary eLife.

Professor Donna Addis at Harvard wants to record neural activity and examine what parts of the brain are used versus what are not when we think about the past or are imagining the future. She comes to the

There have been solutions that were introduced in the past and that are still used today to determine if a person has epilepsy. One of the solutions is called the electroencephalography (EEG), which was introduced in 1929 by the German psychiatrist Hans Berger (Jefferys, 2010). This was a breakthrough in psychiatric and neurological history. It was a minimally invasive diagnostic test that recorded the electrical patterns in a person’s brain. This allowed doctors to measure the electricity that the brain makes and to determine the brain’s activity. Overtime, it became popularly used during the late 1940s and early 1990s (Jefferys, 2010). This was the time when digital EEG recordings became available. Then, in the late 1990s, the digital recordings became faster, demonstrating the presence of ripples and fast ripples, which marked as epileptogenic zone (Jefferys, 2010). During an EEG, a patient would have tiny electrodes and wires attached to his/her head. The brain waves would be detected through the electrodes, which would then allow for the EEG machine to formulate the brain signals and record them on a paper or on a screen (“EEG,” 2016). An EEG is still used today. Another solution used to determine if a person has epilepsy is the patch-clamp technique. It was developed by Neher and Sakmann between the 1970s and 1980s. This method

The EEG has been used for many years and is considered a safe procedure. The test causes no discomfort. The electrodes only record activity and do not produce any sensation. In addition, there is no risk of getting an electric shock.

SGT Gilpin, your performance for the month of October has been to above standard. This month we went through our marksmanship density for two weeks. During the first week your section had a Sniper Range while everyone else qualified on their M4 rifles. We shot a lot of rounds and it took a long time. Our guys can shoot when there is no stress, let’s start adding some stress to them while shooting at long ranges as we did with decreasing the time they made in between shots. We went to the M9 qualification range the next day and you all of your Soldiers besides two qualified expert on the handgun. During the second week our Platoon was tasked to running the qualification range for the Company. Your squad’s task was running the qual line. You were responsible for making sure there were enough safeties for each iteration. You yourself came up with the day and night markings to show if the line was ready or not. There were a couple of issues with some Soldiers committing safety infractions but you handled the problems swiftly. You even gave a couple of Soldiers remedial training yourself to make sure they passed. That day and night we qualified over 80 people in the Company. The range went well and the execution for your

EEG signals can be used effectively to study the mental states and ailments related to the brain. The inherent issues with the EEG signal are that it is highly nonlinear in nature and its visual interpreta-tions are tedious and subjective prone to inter-observer variations. To help researchers better analyze EEG signals, we have presented various signal analysis techniques de-noising, feature extraction, classification methods in this review. Our key focus in this review was on epilepsy detection, Epi-lepsy is one of the most common neurological conditions and one of the least understood. In this regard, we have summarized the findings of many epilepsy activity classification techniques that use EEG as the base signal. The review demonstrates

There are relatively few studies carried out measuring electrophysiology, specifically the event-related potentials (ERP) compare to fMRI studies, in the field of emotional processing. ERP is measuring current cortical activity, while fMRI subcortical activity e.g. amygdala. The use of eye tracking devices in fMRI studies allow to

Moreover, EEG is a non-invasive study that was primarily employed to examine the epileptic brain and has been in use for nearly a century. However, EEG has also demonstrated limitations while studying the brain functions. For instance, EEG allows poor spatial resolution, and therefore fail to demonstrate localized changes in detail. This issue has been highlighted in Lawrence (2014) study which recommend utilising additional source localisation techniques to reduce research impediments or employing methods such as fMRI instead of EEG to measure brain region correlations. (Jorge et al 2014).Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) have proved to be extremely valuable tools for the non-invasive study of human brain

To do this, they showed a large number of short clips to a subject, who was being measured by an fMRI. The resulting brain activity in each part of the brain was then paired with the clip, creating a database of brain activity to image. When presented with fMRI data, the program attempts to match it with data in its database, then correlates this to an image/clip. The researchers also used a novel model of signal filtering known as motion-energy encoding to create a more accurate interpretation of the data. [2] This work is similar to other fMRI analysis that interpreted fMRI data to predict mood, emotion, and even spatial orientation. [3] Going forward, these techniques could be used to help treat and diagnose psychiatric disorders, as well as many other varied fields such as art, law, and entertainment; additionally, researchers have shown that there is only a small difference between the brain activity while picturing an image and seeing an image. This means that with the appropriate software, it might soon be possible to reconstruct an image from the imagination. [4] While we can’t see dreams yet, we’re on our

Researchers analyzed the different structures of the brain that received signals from the amygdala while each subject was being scanned. They found that for healthy patients,

Electroencephalograhy is the recording of the electrical activity of the brain, usually taken through several electrodes at the scalp. EEG contains lots of valuable information relating to the different physiological states of the brain and thus is a very useful tool for understanding the brain disease, such as epilepsy [3]. EEG signals of epileptic patients exhibit two states of abnormal activities namely interictal or seizure free (in-between epileptic seizures) and ictal (in the course of an epileptic seizure) [4]. The interictal EEG signals are transient waveforms and exhibit spikes, sharp or spiky waves. The ictal EEG signals are continuous waveforms with spikes and sharp wave complexes. Epilepsy can be detected by traditional methods by well-trained and experienced neurophysiologists by visual inspection of long durations of EEG

I sincerely thank my HOD Dr. R.Karthikeyan for encouraging me to under go an IN-PLANT TRAINING. I also thank the other staffs of the department for their piece information and advice which served a big purpose. Also i would like to thank Mr.P.GNANASAMBADHAM (Deputy Manager, Process engg dept, MFL) for his lectures and guidance which created a new interest regarding the subject and its