scholarly journals Motion Recognition and an Accuracy Comparison of Left and Right Arms by EEG Signal Analysis

2019 ◽  
Vol 9 (22) ◽  
pp. 4885
Author(s):  
Bu Il Jeon ◽  
Byung Jun Kang ◽  
Hyun Chan Cho ◽  
Jongwon Kim
Keyword(s):  
Signal Transmission ◽  
Expression Patterns ◽  
Human Motion ◽  
Common Spatial Pattern ◽  
Spectra Analysis ◽  
Brain Waves ◽  
Brain Signals ◽  
Right Brain ◽  
Left And Right ◽  
The Brain

An electromyogram (EMG) is a signal for muscle output that indicates the degree of muscle contraction and relaxation. For these muscle signals to be output, certain signals must be received from the brain. To analyze these relations, electroencephalograms (EEGs) of the brain are measured to extract brain waves that are active at that time, although it is difficult to identify or distinguish expression patterns of the brain signal through EMG output. However, the brain signal operates via a partially reached signal and transmits the results of the operation. In this study, we analyze signals transmitted in this process and confirm whether human motion can be predicted from brain signals. It is not easy to guess the exact protocol of the brain using a general method, because a biosignal is a signal that differs from person to person. However, by analyzing the signals displayed by a particular user through actions, it is possible to determine the presence or absence of a signal to distinguish muscle movements. In the course of signal transduction, the energy of the left and right brain waves changes in the form of energy or signals that cause an arm’s movement. Responding to this, we analyze the signal transmission process of brain signals and EMGs to analyze loss and generated output. We extract EEG data from brain waves and determine EMG signals from the energy characteristics; we then collect and merge the results of spectra analysis through the Common Spatial Pattern (CSP) filter and explore the basis for predicting wills during muscle signals and stimulation transmission. The active information of the data within the working time of left and right brain waves depends on the changes of the left and right brain waves. It is proposed that the appearance of similar signals at these specific timescales can help identify the operations of the arms and outputs by the left and right biceps.

scholarly journals Introduction to the identification of brain waves based on their frequency

2018 ◽  
Vol 210 ◽  
pp. 05012 ◽  
Author(s):  
Zuzana Koudelková ◽  
Martin Strmiska
Keyword(s):  
Brain Activity ◽  
Computer Interface ◽  
Brain Wave ◽  
Non Invasive ◽  
Brain Waves ◽  
Analytical Reasoning ◽  
Brain Signals ◽  
Electroencephalogram Eeg ◽  
The Brain ◽  
Research Type

A Brain Computer Interface (BCI) enables to get electrical signals from the brain. In this paper, the research type of BCI was non-invasive, which capture the brain signals using electroencephalogram (EEG). EEG senses the signals from the surface of the head, where one of the important criteria is the brain wave frequency. This paper provides the measurement of EEG using the Emotiv EPOC headset and applications developed by Emotiv System. Two types of the measurements were taken to describe brain waves by their frequency. The first type of the measurements was based on logical and analytical reasoning, which was captured during solving mathematical exercise. The second type was based on relax mind during listening three types of relaxing music. The results of the measurements were displayed as a visualization of a brain activity.

scholarly journals Session to Session Transfer Learning Method Using Independent Component Analysis with Regularized Common Spatial Patterns for EEG-MI Signals

2019 ◽  
Vol 15 (1) ◽  
pp. 13-27
Author(s):  
Zaineb Alhakeem ◽  
Ramzy Ali
Keyword(s):  
Independent Component Analysis ◽  
Transfer Learning ◽  
Classification Accuracy ◽  
Component Analysis ◽  
Independent Component ◽  
Learning Method ◽  
Common Spatial Pattern ◽  
Brain Signals ◽  
The Brain ◽  
Better Than

Training the user in Brain-Computer Interface (BCI) systems based on brain signals that recorded using Electroencephalography Motor Imagery (EEG-MI) signal is a time-consuming process and causes tiredness to the trained subject, so transfer learning (subject to subject or session to session) is very useful methods of training that will decrease the number of recorded training trials for the target subject. To record the brain signals, channels or electrodes are used. Increasing channels could increase the classification accuracy but this solution costs a lot of money and there are no guarantees of high classification accuracy. This paper introduces a transfer learning method using only two channels and a few training trials for both feature extraction and classifier training. Our results show that the proposed method Independent Component Analysis with Regularized Common Spatial Pattern (ICA-RCSP) will produce about 70% accuracy for the session to session transfer learning using few training trails. When the proposed method used for transfer subject to subject the accuracy was lower than that for session to session but it still better than other methods.

scholarly journals Meningkatkan Pengetahuan Cara Senam Otak Untuk Konsentrasi Dan Daya Ingat Pada Anak Usia 5-12 Tahun

2021 ◽  
Vol 4 (3) ◽  
pp. 470-474
Author(s):  
Siska Karmelina ◽  
Ria Setiasari ◽  
Ike Pudji Wahyuningsih ◽  
Nurseha Nurseha ◽  
Ana Febrianti ◽  
...  
Keyword(s):  
Language Skills ◽  
Dynamic Balance ◽  
Front Part ◽  
Brain Gym ◽  
Lateral Dimension ◽  
Right Brain ◽  
Presentation Method ◽  
Simple Body ◽  
Left And Right ◽  
The Brain

ABSTRAKSenam otak atau brain gym adalah serangkaian latihan gerakan tubuh yang sederhana. Gerakan itu dibuat untuk merangsang otak kiri dan kanan (dimensi lateralis), meringankan atau merelaksasikan belakang otak dan bagian depan otak (dimensi pemfokuskan), merangsang sistem yang terkait dengan perasaan/emosional, yakni otak tengah (limbik), serta otak besar (dimensi pemusatan) dan bermanfaat menigkatkan kemampuan berbahasa, konsentrasi, daya ingat meningkat, menjadi lebih bersemangat, lebih kreatif dan efesien, serta merasa lebih sehat. Dengan latihan senam otak, maka sangat berguna untuk meningkatkan keseimbangan dinamis selain itu juga dapat meningkatkan koordinasi dan konsentrasi yang baik. Tujuan penelitian ini adalah mengetahui bagaimanakah pengaruh senam otak terhadap konsentrasi dan daya ingat pada anak. Penelitian ini menggunakan metode presentasi powerpoint dan video senam otak pada klien dan keluarga. Hasil dari presentasi dan demonstrasi yang dilakukan adalah  sebanyak 75 % peserta mengetahui dan dapat melakukan senam otak dan akan mempraktekkan pada eluarganya dirumah.Kata kunci : Senam Otak, KonsentrasiABSTRACTA brain gym or brain gym is a series of simple body exercises. The movement is made to stimulate the left and right brain (lateral dimension), lighten or relax the back of the brain and the front part of the brain (the focal dimension), stimulate systems related to feelings/emotions, namely the midbrain (limbic), and the cerebrum (concentration dimension ) and is useful for increasing language skills, concentration, increased memory, being more enthusiastic, more creative and efficient, and feeling healthier. With brain exercise exercises, it is very useful to improve dynamic balance besides that it can also improve good coordination and concentration. The purpose of this study was to determine how the influence of brain exercise on concentration and memory in children. This study uses a PowerPoint presentation method and video brain exercise for clients and families. The results of the presentations and demonstrations carried out were that as many as 75% of the participants knew and were able to do brain exercises and would practice them in their families at home. Keywords: Brain Exercise, Concentration

scholarly journals FEMALE AND MALES’ BRAIN TENDENCIES IN LEARNING ENGLISH AS A SECOND LANGUAGE

2020 ◽  
Vol 8 (7) ◽  
pp. 211-216
Author(s):  
Lamhot Naibaho
Keyword(s):  
Second Language ◽  
Left Brain ◽  
Right Brain ◽  
Library Research ◽  
Left And Right ◽  
The Right ◽  
And Function ◽  
Online Sources ◽  
The Brain ◽  
Learning English

This research is about the female and males’ brain tendencies in learning English as a second language, and it was done at Universitas Kristen Indonesia. The purposes of conducting this research is to find out female and males’ brain tendencies in learning English as a second language. This research was a library research, where researchers as "key instruments" of the research that find any information deals with the topic discussed from books, journals and proceedings sourced from “Pubmed, Google Scholar, Research Gate and other online sources” in order to answer the question. The result is that learning English as a second language achievement of students is not influenced by the competence of the right brain or left brain of students, but the left and right brain provides an understanding of the structure and function of the brain. The division of brain function based on the brain hemisphere allows students to gain a deeper understanding of how the brain works to help them improve students' mastery of subjects.

EEG Classification for BCI Based on CSP and SVM-GA

2013 ◽  
Vol 459 ◽  
pp. 228-231 ◽  
Author(s):  
Hao Yang ◽  
Song Wu
Keyword(s):  
Classification Performance ◽  
Computer Interface ◽  
Support Vector ◽  
Eeg Signals ◽  
Common Spatial Pattern ◽  
Data Set ◽  
Linear Discriminant ◽  
Brain Signals ◽  
Electroencephalogram Eeg ◽  
The Brain

Electroencephalogram (EEG) is generally used in Brain-Computer Interface (BCI) applications to measure the brain signals. However, the multichannel EEG signals characterized by unrelated and redundant features will deteriorate the classification accuracy. This paper presents a method based on common spatial pattern (CSP) for feature extraction and support vector machine with genetic algorithm (SVM-GA) as a classifier, the GA is used to optimize the kernel parameters setting. The proposed algorithm is performed on data set Iva of BCI Competition III. Results show that the proposed method outperforms the conventional linear discriminant analysis (LDA) in average classification performance.

scholarly journals BRAIN-GYM (SENAM OTAK) UNTUK MENGATASI PROBLEM BELAJAR ANAK

2012 ◽  
Vol 3 (1) ◽  
pp. 7
Author(s):  
Sri Suneki ◽  
Ririn Ambarini ◽  
Dwi Destriani
Keyword(s):  
Young Children ◽  
Middle Part ◽  
Learning Problems ◽  
Three Dimension ◽  
Great Contribution ◽  
Brain Gym ◽  
Right Brain ◽  
Left And Right ◽  
The Brain

AbstractBrain Gym to maximalise the potensial of the young children in Himpaudi Kecamatan Tembalang is a kind of workshop given to the teachers in order to implement Brain Gym so as to overcome the learning problems of the young children. The materials that are given to the teachers are about how to understand about the concept of Brain Gym, the theories of Brain Gym, the practice of the Brain Gym that is able to give great contribution to overcome the students?óÔé¼Ôäó learning problems. The movement of Brain Gym consists of 26 movements. Brain Gym covers three areas of brain dimention, those are literary, focus, and centralisation. The first part of brain dimention is related to the dimension of left and right brain that has relation with the ability of communication. The second part of brain dimension is related to front and back dimension of the brain that relate to the stem of the brain and it has correlation with the ability of concentration, understanding and interpretation. The last dimension of brain is related to centralisation that has relation with up and down part of the middle part of the brain. It relates to the capability of arranging and organizing something. With the implementation of IbM Brain Gym, it is hoped that the teachers in Himpaudi Kecamatan Tembalang Semarang are proactive enough to implement this kind of gym so as to anticipate and to overcome the learning problems of the students.Key Words: Brain-Gym, Three Dimension of Brain, Literary, Focus, CentralisationAbstrakIpteks yang akan ditransfer kepada HIMPAUDI Kecamatan Tembalang Semarang adalah pelatihan konsep dasar dan teori Brain-Gym. Pelatihan Brain-Gym sangat besar manfaatnya untuk mengatasi problem belajar anak. Senam otak ini terdiri dari 26 gerakan. Brain-Gym atau senam otak meliputi tiga dimensi otak yang utama yaitu lateralitas, fokus, dan pemusatan. Dimensi otak yang pertama yaitu lateralitas terkait dengan dimensi otak kiri dan kanan yang berhubungan dengan kemampuan komunikasi. Dimensi otak yang kedua adalah fokus, terkait dimensi muka-belakang dengan melibatkan batang otak yang berhubungan dengan kemampuan konsentrasi, mengerti, dan memahami. Dimensi otak yang terakhir adalah pemusatan, terkait dimensi atas-bawah dengan melibatkan otak tengah yang berhubungan dengan kemampuan mengatur dan mengorganisasikan sesuatu. Melalui Brain-Gym untuk guru Himpaudi Kecamatan Tembalang, diharapkan para guru dapat menerapkan senam otak ini sebagai bagian dari program kegiatan sekolah yang harus dilaksanakan pada tiap minggunya sebagai bagian dari pelajaran olah raga, sehingga manfaatnya tidak hanya untuk kebugaran siswa tetapi secara tidak langsung juga memberikan manfaat untuk mengatasi problem belajar anak.Kata Kunci: Brain-Gym, Tiga Dimensi Otak, Lateralitas, Fokus, Pemusatan

Advantages of Complementary Stereo Images as Viewed with the Low-Temperature Field-Emission SEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1314-1315
Author(s):  
William P. Wergin ◽  
Eric F. Erbe
Keyword(s):  
Fold Increase ◽  
Horizontal Displacement ◽  
Three Dimensions ◽  
Stereo Image ◽  
Stereo Pair ◽  
Sem Micrograph ◽  
Left And Right ◽  
The Common ◽  
The Brain ◽  
Pair Analysis

The eye-brain complex allows those of us with normal vision to perceive and evaluate our surroundings in three-dimensions (3-D). The principle factor that makes this possible is parallax - the horizontal displacement of objects that results from the independent views that the left and right eyes detect and simultaneously transmit to the brain for superimposition. The common SEM micrograph is a 2-D representation of a 3-D specimen. Depriving the brain of the 3-D view can lead to erroneous conclusions about the relative sizes, positions and convergence of structures within a specimen. In addition, Walter has suggested that the stereo image contains information equivalent to a two-fold increase in magnification over that found in a 2-D image. Because of these factors, stereo pair analysis should be routinely employed when studying specimens.Imaging complementary faces of a fractured specimen is a second method by which the topography of a specimen can be more accurately evaluated.

NON-INVASIVE BCI METHOD: EEG - ELECTROENCEPHALOGRAPHY

2019 ◽  
pp. 139-145
Author(s):  
Selma Büyükgöze
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Electrode Placement ◽  
Eeg Signals ◽  
Non Invasive ◽  
Brain Signals ◽  
Brain States ◽  
The Brain

Brain Computer Interface consists of hardware and software that convert brain signals into action. It changes the nerves, muscles, and movements they produce with electro-physiological signs. The BCI cannot read the brain and decipher the thought in general. The BCI can only identify and classify specific patterns of activity in ongoing brain signals associated with specific tasks or events. EEG is the most commonly used non-invasive BCI method as it can be obtained easily compared to other methods. In this study; It will be given how EEG signals are obtained from the scalp, with which waves these frequencies are named and in which brain states these waves occur. 10-20 electrode placement plan for EEG to be placed on the scalp will be shown.

TIMELESS BUILDINGS AND THE HUMAN BRAIN: The Effect of Spiritual Spaces on Human Brain Waves

2014 ◽  
Vol 8 (1) ◽  
pp. 133
Author(s):  
Sally M. Essawy ◽  
Basil Kamel ◽  
Mohamed S. Elsawy
Keyword(s):  
Human Brain ◽  
Case Studies ◽  
Spiritual Experience ◽  
Brain Wave ◽  
Human Comfort ◽  
Beliefs And Practices ◽  
Brain Waves ◽  
Space Design ◽  
State Of Mind ◽  
The Brain

Some buildings hold certain qualities of space design similar to those originated from nature in harmony with its surroundings. These buildings, mostly associated with religious beliefs and practices, allow for human comfort and a unique state of mind. This paper aims to verify such effect on the human brain. It concentrates on measuring brain waves when the user is located in several spots (coordinates) in some of these buildings. Several experiments are conducted on selected case studies to identify whether certain buildings affect the brain wave frequencies of their users or not. These are measured in terms of Brain Wave Frequency Charts through EEG Device. The changes identified on the brain were then translated into a brain diagram that reflects the spiritual experience all through the trip inside the selected buildings. This could then be used in architecture to enhance such unique quality.

scholarly journals Shared Blood Transcriptomic Signatures between Alzheimer’s Disease and Diabetes Mellitus

Biomedicines ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 34
Author(s):  
Taesic Lee ◽  
Hyunju Lee
Keyword(s):  
Diabetes Mellitus ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Protein Interactions ◽  
Expression Patterns ◽  
Protein Protein Interactions ◽  
Hub Genes ◽  
Gene Modules ◽  
Gene Regulatory ◽  
The Brain

Alzheimer’s disease (AD) and diabetes mellitus (DM) are known to have a shared molecular mechanism. We aimed to identify shared blood transcriptomic signatures between AD and DM. Blood expression datasets for each disease were combined and a co-expression network was used to construct modules consisting of genes with similar expression patterns. For each module, a gene regulatory network based on gene expression and protein-protein interactions was established to identify hub genes. We selected one module, where COPS4, PSMA6, GTF2B, GTF2F2, and SSB were identified as dysregulated transcription factors that were common between AD and DM. These five genes were also differentially co-expressed in disease-related tissues, such as the brain in AD and the pancreas in DM. Our study identified gene modules that were dysregulated in both AD and DM blood samples, which may contribute to reveal common pathophysiology between two diseases.

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