Use of eeg signal for mental analysis of a Person
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EEG signals can be used to analyze a person's mental state. The document proposes using time-frequency domain analysis via Daubechies wavelet transform of EEG data and fuzzy c-means classification to determine a person's emotional state and detect any mental disturbances or abnormalities. This method is feasible with minimal costs and no reliance on specialized hardware. Testing of the method and documentation of results is planned over a proposed 11-week schedule. Accurate mental state analysis via EEG could help address serious mental health issues faced by many.
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The document summarizes research on using EEG and neuroimaging techniques to study the neural mechanisms of creativity. It discusses how EEG signals are recorded and processed to extract event-related potentials (ERPs) and analyze brain activity. Various analysis methods are described, including spectral analysis of brain wave frequencies, source localization of neural sources, and time-frequency analysis. The research aims to better understand the temporal dynamics and neural correlates of cognitive processes involved in creativity.
Eeg by prc
The document discusses electroencephalography (EEG), which records the electrical activity of the brain through electrodes placed on the scalp. It describes how Hans Berger first recorded human EEG in 1929. It then covers the different types of brain waves seen on EEG (alpha, beta, theta, delta), how they are generated and what they indicate. The document discusses how EEG is used to study epilepsy, sleep disorders and brain function. It outlines the procedure for performing an EEG and analyzing the results.
Eeg by prc
The document discusses electroencephalography (EEG), which records the electrical activity of the brain through electrodes placed on the scalp. It describes how Hans Berger first recorded human EEG in 1929. It then covers the different types of brain waves seen on EEG (alpha, beta, theta, delta), how they are generated and what they indicate. The document discusses how EEG is used to study epilepsy, sleep disorders and brain function. It outlines the procedure for performing an EEG and analyzing the results.
Recording brain activity
Electroencephalography (EEG) involves recording the electrical activity of the brain through electrodes placed on the scalp. Hans Berger first discovered EEG in 1924. EEG measures voltage fluctuations resulting from ionic currents within neurons. When neurons fire simultaneously, they create a wave that can be detected by electrodes. EEG is useful for studying brain function and diagnosing conditions like epilepsy by analyzing patterns of electrical activity.
Methods of examining functions of CNS
The document discusses the extirpation method for determining the function of parts of the brain. The extirpation method involves removing or destroying a part of the brain and observing the resulting changes in behavior. The document then describes several techniques used in extirpation experiments, including different levels of the central nervous system where extirpation can be done, local damage methods, stimulation methods, and various recording techniques like EEG.
EEG_circut.ppt
This document summarizes the design of an EEG circuit and data acquisition system. It includes block diagrams of the EEG amplifier board and analog-to-digital converter board. The EEG amplifier uses a two-stage design with gains of 50 and 390. The proposed analog-to-digital converter is a Keithley KPCI-1307 card capable of 100k samples/second. Software options for the card include VHDL implementation on an Altera board or using DriverLINX APIs. Testing showed the system could successfully record eyebrow raises and eye blinks.
EEG_circuit.ppt
This document summarizes key concepts about EEG circuit design and analysis. It discusses electrode circuits, instrumentation amplifiers, chopper-stabilized low-noise amplifiers, two-stage op-amps, equivalent circuit models, EEG recordings from different conditions, hardware block diagrams, the Nyquist theorem, bipolar vs monopolar recordings, artifacts from EMG, eye blinks, EKG, line noise, reviewing EEG based on voltage, frequency, location, and transient events, normal and abnormal distributions of EEG data, constructing life span normative databases, and related BCI research goals and challenges.
Electro encephalo graphy (EEG) Lecture.pptx
An electroencephalogram (EEG) is a recording of brain activity.
During this painless test, small sensors are attached to the scalp to pick up the electrical signals produced by the brain.
These signals are recorded by a machine and are looked at by a doctor.
The EEG procedure is usually carried out by a highly trained specialist, called a clinical neurophysiologist, during a short visit to hospital.
An EEG can be used to help diagnose and monitor a number of conditions affecting the brain.
It may help identify the cause of certain symptoms – such as seizures (fits) or memory problems – or find out more about a condition you've already been diagnosed with.
The main use of an EEG is to detect and investigate epilepsy, a condition that causes repeated seizures. An EEG will help your doctor identify the type of epilepsy you have, what may be triggering your seizures and how best to treat you.
Less often, an EEG may be used to investigate other problems, such as:
dementia
head injury and concussion
brain tumours
encephalitis (brain inflammation)
sleep disorders, such as sleep apnoea.
Your appointment letter will mention anything you need to do to prepare for the test.
Unless told otherwise, you can usually eat and drink beforehand and continue to take all your normal medication.
To help the sensors stick to your scalp more easily, you should make sure your hair is clean and dry before arriving for your appointment, and avoid using products such as hair gel and wax.
You might want to bring a hairbrush or comb with you, as your hair may be a bit messy when the test is finished. Some people bring a hat to cover their hair until they can wash it at home afterwards.
How an EEG is carried out
There are several different ways an EEG recording can be taken. The clinical neurophysiologist will explain the procedure to you and can answer any questions you have.
You'll also be asked whether you consent to treatment for the various parts of the test to be carried out. This may include video consent for some EEGs.
Before the test starts, your scalp will be cleaned and about 20 small sensors called electrodes will be attached using a special glue or paste. These are connected by wires to an EEG recording machine.
Routine EEG recordings usually take 20 to 40 minutes, although a typical appointment will last about an hour, including some preparation time at the beginning and some time at the end.
Other types of EEG recording may take longer.
Types of EEG
Routine EEG
A routine EEG recording lasts for about 20 to 40 minutes.
During the test, you'll be asked to rest quietly. You will usually be asked to open or close your eyes from time to time. In most cases, you'll also be asked to breathe in and out deeply (called hyperventilation) for a few minutes.
FinalProjectDoc
1) The study tested the effects of meditation and caffeine on short-term memory and brain wave activity.
2) Results showed meditation improved short-term memory test scores but caffeine reduced scores compared to a control group.
3) Brain wave analysis found meditation and caffeine decreased beta and gamma wave amplitudes compared to the control during memory tasks, suggesting both may impact brain activity related to memory.
Clinical teaching on electroencephelography
The document discusses a clinical teaching session on electroencephalography (EEG) for 4th year nursing students. The session objectives were to define EEG, describe its indications, mechanism, procedure, and waveforms. EEG measures electrical activity in the brain using electrodes attached to the scalp. It is used to detect problems associated with brain disorders like seizures, tumors, or injuries. During an EEG, technicians attach electrodes to the scalp to record brain wave patterns over 30-60 minutes.
Review:Wavelet transform based electroencephalogram methods
In this paper, EEG signals are the signatures of neural activities. There have been many algorithms developed so far for processing EEG signals. The analysis of brain waves plays an important role in diagnosis of different brain disorders. Brain is made up of billions of brain cells called neurons, which use electricity to communicate with each other. The combination of millions of neurons sending signals at once produces an enormous amount of electrical activity in the brain, which can be detected using sensitive medical equipment such as an EEG which measures electrical levels over areas of the scalp. The electroencephalogram (EEG) recording is a useful tool for studying the functional state of the brain and for diagnosing certain disorders. The combination of electrical activity of the brain is commonly called a Brainwave pattern because of its wave-like nature. EEG signals are low voltage signals that are contaminated by various types of noises that are also called as artifacts. Statistical method for removing artifacts from EEG recordings through wavelet transform without considering SNR calculation is proposed Miss. N. R. Patil | Prof. S. N. Patil"Review:Wavelet transform based electroencephalogram methods" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd11542.pdf http://www.ijtsrd.com/engineering/bio-mechanicaland-biomedical-engineering/11542/reviewwavelet-transform-based-electroencephalogram-methods/miss-n-r-patil
Jeopardy
The document is a study guide containing questions and answers about various topics in neuroscience. It covers basic definitions of neurons and their parts like dendrites and axons. It also discusses the central and peripheral nervous systems, areas of the brain like the cerebral cortex, and neurological disorders such as Alzheimer's disease and epilepsy. Additionally, it lists diagnostic tools in neuroscience including MRI, EEG, PET scans, and CT scans. Finally, it covers senses and sensory receptors.
chapter2-Cognitive-Neuroscience
The document discusses various methods used to study the human brain including postmortem studies, animal studies, and imaging techniques. Postmortem studies examine the brain after death to identify abnormalities associated with certain behaviors or conditions. Animal studies involve inserting microelectrodes into animal brains to monitor single neuron activity or selectively lesioning areas to observe functional deficits. Imaging techniques discussed include EEG, PET, fMRI and MRI which produce images of brain activity and anatomy. The document also outlines the main structures of the brain including the cerebral cortex, limbic system, midbrain, hindbrain and lobes.
Brain Finger Printing
This document provides an overview of brain fingerprinting, including:
1. It describes brain fingerprinting as a technique that uses EEG to measure brain responses to relevant and irrelevant stimuli to determine if information about a crime is stored in a subject's brain.
2. The technique involves presenting subjects with targets they know, probes relevant to a crime they may know about, and irrelevant stimuli while measuring EEG responses like the P300 wave.
3. It discusses the role of brain fingerprinting in criminal investigations, which involves phases of investigation to identify relevant probes, interviewing the subject, conducting the scientific brain fingerprinting test, and adjudication of guilt or innocence.
Algamantas juozapavcius
This document discusses automatic spike detection in EEG analysis for epilepsy diagnosis. It presents a method for spike detection using morphological filters. The method detects known spikes in test data but is susceptible to noise from eye movements. The document also discusses calculating the Karolinska Drowsiness Score from EEG data to measure drowsiness, an important factor in analysis. Finally, it proposes a database design to store extracted EEG features for future analysis using data mining algorithms.
SUMSEM-2021-22_ECE6007_ETH_VL2021220701295_Reference_Material_I_04-07-2022_EE...
This document discusses electroencephalography (EEG) and evoked potentials. It begins by describing EEG as a method for recording electrical brain activity using electrodes placed on the scalp. It then discusses how EEG is used to diagnose neurological conditions like epilepsy and brain tumors. The document outlines different brain wave patterns observed in EEG like alpha, beta, theta, and delta waves. It also discusses how EEG is performed and interpreted, potential artifacts, and different electrode montages. Finally, it describes evoked potentials as the electrical response of the brain to sensory stimulation, and summarizes different types of evoked potentials including visual, somatosensory, and auditory potentials.
Neurofeedback as Treatment of Autism Spectrum Disorder-
ABSTRACT
Background
Autism Spectrum Disorder is a neurodevelopmental disorder and symptoms are considered to be due to brain deregulation and dysfunction in multiple regions of the brain. There is no cure for autism and the management guidelines are defined to reduce the symptoms and reinstitute normal functioning in life. Neurofeedback is one of these methods in treating children with Autism. Several studies have shown that individuals with autism are able to alter their brain activity in specific frequency bands through the use of neurofeedback which induces prolong changes in autism symptoms, cognitive functioning and long-term changes in EEG. Neurofeedback is a way of training the brain to use more productive patterns of brainwaves which teaches the brain to self-regulate, strengthening neural pathways while increasing mental endurance and flexibility
Objective
To observe the effect of Neurofeedback Treatment in Children with ASD in areas of speech, language, communication, sociability, sensory ,cognitive awareness, health, physical and behaviors
Methods and Materials
It is a descriptive longitudinal study with purposive sampling done from January 2018 to March 2020 among children diagnosed with ASD who underwent Neurofeedback training for at least 80 sessions. 70% were boys 30% were girls. Assessment was done by Autism Treatment Evaluation Checklist. Data were analyzed by SPSS 21
Result
The study showed Improvements in all ATEC Evaluation Categories in Speech, Language, and communication39.1%, Sociability53.7%, Sensory and Cognitive awareness56.8%, and in Health, Physical, and Behaviors58%
Conclusion
The study shows marked improvement in all 4 specific Areas of evaluation of ATEC after Neurofeedback training of children with Autism. Since Autism has no specific cure and neurofeedback has its efficacy without any untoward effects may be used as a treatment option for Autism
Estimate the Activation of EEG Bands from Different Brain Lobes with Classifi...
Physiological research with human brain is getting more popular because it is the center of human nervous system. Music is a popular source of entertainment in modern era which affects differently in different brain lobes for having different frequency and pitch. The brain lobes are divided into frontal, central and parietal lobe. In this paper, an approach has been proposed to identify the activated brain lobes by using spectral analysis from EEG signal due to music evoked stimulation. In later phase, the impact of music on the EEG bands (alpha, beta, delta, theta) originating from different brain lobes is analyzed. Music has both positive and negative impact on human brain activity. According to linguistic variation, subject age and preference, volume level of songs, the impact on different EEG bands varies. In this work, music is categorized as mild, pop, rock song at different volume level (low, comfortable and high) based on Power Spectral Density (PSD) analysis. The average PSD value is 0.21 W/Hz, 0.32W/Hz and 0.84W/Hz for mild, pop and rock song respectively. The volume levels are considered as 0%-15% volume level for low volume, 16%- 55% volume level for comfortable volume and 56%-100% volume level for high volume. At comfortable volume level the central lobe of the brain is more activated for mild song and parietal lobe is activated for both pop and rock songs based on logarithmic power and PSD analysis. A statistical test two- way ANOVA has been conducted to indicate the variation in EEG band. For two-way ANOVA analysis, the P-value was taken as 0.05. A topographical representation has been performed for effective brain mapping to show the effects of music on the EEG bands for mild, pop and rock songs at the mentioned volume level. The maximum percentage of alpha band activation is 60% in comfortable volume which decreases with high volume and it indicates that, when the music stimuli moved towards the high-volume level, human cognition state moves from relax to stress condition due to the activeness of beta band. A Graphical User Interface (GUI) has been designed in MATLAB platform for the entire work.
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Review:Wavelet transform based electroencephalogram methods
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SUMSEM-2021-22_ECE6007_ETH_VL2021220701295_Reference_Material_I_04-07-2022_EE...
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Neurofeedback as Treatment of Autism Spectrum Disorder-
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Estimate the Activation of EEG Bands from Different Brain Lobes with Classifi...
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* Registration is currently open *
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Free – Extended Paper will be published as free of cost.
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July 13 ~ 14, 2024, Virtual Conference
Webpage URL: https://aiad2024.org/index
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一比一原版(USF毕业证)旧金山大学毕业证如何办理
原件一模一样【微信：95270640】【旧金山大学毕业证USF学位证成绩单】【微信：95270640】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
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留信网认证的作用:
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2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理旧金山大学毕业证毕业证学位证USF学位证【微信：95270640 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理旧金山大学毕业证USF学位证毕业证学位证【微信：95270640 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
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校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理旧金山大学毕业证毕业证学位证USF学位证【微信：95270640 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理旧金山大学毕业证毕业证学位证USF学位证【微信：95270640 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
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一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
原版一模一样【微信：741003700 】【(uofo毕业证书)美国俄勒冈大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
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如果您处于以下几种情况：
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◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(uofo毕业证书)美国俄勒冈大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
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Use of eeg signal for mental analysis of a Person
- 1. USE OF EEG SIGNAL FOR MENTAL ANALYSIS OF A PERSON Darpan Pudasaini (011-425) Dipesh Pandey (011-431) Krishna Rijal (011-438) Presented By:
- 2. The Problem
- 3. 1 in 4 people is affected by mental illness. 8.6 millions adults have suicidal thoughts. Suicide is the 3rd leading cause of death. 1 in 30 people experience PTSD (Posttraumatic Stress Disorder). Children with anxiety disorders are least likely to receive treatment.
- 4. What do all these facts point to?
- 5. Mental health is a serious problem
- 6. The solution
- 7. The solution There should be a more effective method for the analysis of mental health
- 8. The solution There should be a more effective method for the analysis of mental health Electroencephalography
- 9. Electroencephalography Electroencephalography (EEG) is the recording of electrical activity of the brain
- 10. Electroencephalography Electroencephalography (EEG) is the recording of electrical activity of the brain Band Frequency (Hz) Represented status Delta < 4 Slow-wave sleep Theta 4 – 7 Inhibition of excited responses Alpha 8 – 15 Relaxed, Inhibition control Beta 16-31 Anxious, active thinking, focus, high alert Gamma > 32 Cross-modal sensory perception
- 11. Electroencephalography Applications, so far Diagnose epilepsy and types of seizures Check if a person is brain dead Study sleep disorders Monitor brain activity during surgery Differentiate a physical problem with a mental health problem Diagnose brain dysfunction …..and many more
- 12. Objective of our project To use EEG to analyze the mental state of a person
- 13. Objective of our project To use EEG to analyze the mental state of a person Use the features of EEG signals to help in psychological diagnosis of a person
- 15. Literature review Richard Caton: 1875 A.D discovered electrical activities the brain of rabbits and monkeys . Napolean Cybulski and Jelenska-Macieszyna : 1914 A.D. Photographed the first ever EEG Signal of experimentally induced seizure. Hans Berger : 1924 A.D. the first ever EEG machine, invented Electroencephalogram. William Grey Walter : 1950 A.D. invented EEG topography, mapping of electrical activity of the brain across the scalp. 2004 Open EEG released open source hardware and software for ball balancing game. 2014 OpenBCI released that has 8-16 channels and uses EKG and EMG alongside EEG
- 16. Methodology
- 17. Methodology
- 18. Methodology
- 19. Methodology
- 20. Methodology
- 21. Methodology Both time and frequency domain
- 22. Daubechies Wavelet Transform Why ? Both time and frequency domain Varying window size, broad at low frequencies and narrow at high Better suited for analysis of sudden and transient signal changes Better poised to analyze irregular data patterns, that is, impulses existing at different time instances Near optimal time-frequency localization properties Waveforms similar to the EEG waveforms
- 23. Methodology
- 24. Fuzzy C-Means A tool for classifying sets of data in accordance to the attributes Can be used to classify different emotions from the EEG
- 25. Methodology
- 26. Methodology EEG data Classification of emotions Gives the emotional response True state of emotions Analysis of various types of waves Mental disturbances Abnormalities
- 27. Feasibility No reliance on hardware components Minimal project costs
- 28. Feasibility No reliance on hardware components Minimal project costs Feasible !!!
- 29. Limitations Every person has different nature of EEG signal EEG alone can’t produce good spatial resolution
- 30. Schedule Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Week 8 Week 9 Week 10 Week 11 Project Research Calculations and preprocessing Wavelet analysis Classification Testing Documentation Proposed Schedule
- 31. Budget estimation S.N. Items Quantity Price (Nrs) 1. EEG recording components 1 set 8000 2. Miscellaneous - 2000
- 32. Conclusion