Portable Supporting Device for Narcoleptic Patients
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Detecting Seizures in EEG Recordings Using Conformal Prediction
Proceedings of Machine Learning Research 1:1{16, 2018 COPA 2018 Detecting seizures in EEG recordings using Conformal Prediction Charalambos Eliades [email protected] Harris Papadopoulos [email protected] Dept. of Computer Science and Engineering Frederick University 7 Y. Frederickou St., Palouriotisa, Nicosia 1036, Cyprus Editor: Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni Smirnov and Ralf Peeters Abstract This study examines the use of the Conformal Prediction (CP) framework for the provi- sion of confidence information in the detection of seizures in electroencephalograph (EEG) recordings. The detection of seizures is an important task since EEG recordings of seizures are of primary interest in the evaluation of epileptic patients. However, manual review of long-term EEG recordings for detecting and analyzing seizures that may have occurred is a time-consuming process. Therefore a technique for automatic detection of seizures in such recordings is highly beneficial since it can be used to significantly reduce the amount of data in need of manual review. Additionally, due to the infrequent and unpredictable occurrence of seizures, having high sensitivity is crucial for seizure detection systems. This is the main motivation for this study, since CP can be used for controlling the error rate of predictions and therefore guaranteeing an upper bound on the frequency of false negatives. Keywords: EEG, Seizure, Confidence, Credibility, Prediction Regions 1. Introduction Epileptic seizures reflect the clinical signs of the synchronized discharge of brain neurons. The effects of this situation can be characterized by disturbances of mental function and/or movements of body (Lehnertz et al., 2003). This neurological disorder occurs in approx- imately 0:6 − 0:8% of the entire population. -
Music Genre Preference and Tempo Alter Alpha and Beta Waves in Human Non-Musicians
Page 1 of 11 Impulse: The Premier Undergraduate Neuroscience Journal 2013 Music genre preference and tempo alter alpha and beta waves in human non-musicians. Nicole Hurless1, Aldijana Mekic1, Sebastian Peña1, Ethan Humphries1, Hunter Gentry1, 1 David F. Nichols 1Roanoke College, Salem, Virginia 24153 This study examined the effects of music genre and tempo on brain activation patterns in 10 non- musicians. Two genres (rock and jazz) and three tempos (slowed, medium/normal, and quickened) were examined using EEG recording and analyzed through Fast Fourier Transform (FFT) analysis. When participants listened to their preferred genre, an increase in alpha wave amplitude was observed. Alpha waves were not significantly affected by tempo. Beta wave amplitude increased significantly as the tempo increased. Genre had no effect on beta waves. The findings of this study indicate that genre preference and artificially modified tempo do affect alpha and beta wave activation in non-musicians listening to preselected songs. Abbreviations: BPM – beats per minute; EEG – electroencephalography; FFT – Fast Fourier Transform; ERP – event related potential; N2 – negative peak 200 milliseconds after stimulus; P3 – positive peak 300 milliseconds after stimulus Keywords: brain waves; EEG; FFT. Introduction For many people across cultures, music The behavioral relationship between is a common form of entertainment. Dillman- music preference and other personal Carpentier and Potter (2007) suggested that characteristics, such as those studied by music is an integral form of human Rentfrow and Gosling (2003), is evident. communication used to relay emotion, group However, the neurological bases of preference identity, and even political information. need to be studied more extensively in order to Although the scientific study of music has be understood. -
Quantitative EEG (QEEG) Analysis of Emotional Interaction Between Abusers and Victims in Intimate Partner Violence: a Pilot Study
brain sciences Article Quantitative EEG (QEEG) Analysis of Emotional Interaction between Abusers and Victims in Intimate Partner Violence: A Pilot Study Hee-Wook Weon 1, Youn-Eon Byun 2 and Hyun-Ja Lim 3,* 1 Department of Brain & Cognitive Science, Seoul University of Buddhism, Seoul 08559, Korea; [email protected] 2 Department of Youth Science, Kyonggi University, Suwon 16227, Korea; [email protected] 3 Department of Community Health & Epidemiology, University of Saskatchewan, Saskatoon, SK S7N 2Z4, Canada * Correspondence: [email protected] Abstract: Background: The perpetrators of intimate partner violence (IPV) and their victims have different emotional states. Abusers typically have problems associated with low self-esteem, low self-awareness, violence, anger, and communication, whereas victims experience mental distress and physical pain. The emotions surrounding IPV for both abuser and victim are key influences on their behavior and their relationship. Methods: The objective of this pilot study was to examine emotional and psychological interactions between IPV abusers and victims using quantified electroencephalo- gram (QEEG). Two abuser–victim case couples and one non-abusive control couple were recruited from the Mental Image Recovery Program for domestic violence victims in Seoul, South Korea, from Citation: Weon, H.-W.; Byun, Y.-E.; 7–30 June 2017. Data collection and analysis were conducted using BrainMaster and NeuroGuide. Lim, H.-J. Quantitative EEG (QEEG) The emotional pattern characteristics between abuser and victim were examined and compared to Analysis of Emotional Interaction those of the non-abusive couple. Results: Emotional states and reaction patterns were different for between Abusers and Victims in the non-abusive and IPV couples. -
QUANTITATIVE BRAIN ELECTRICAL ACTIVITY in the INITIAL SCREENING of MILD TRAUMATIC BRAIN INJURIES AFTER BLAST By
Wayne State University Wayne State University Theses 1-1-2015 Quantitative Brain Electrical Activity In The nitI ial Screening Of Mild Traumatic Brain Injuries After Blast Chengpeng Zhou Wayne State University, Follow this and additional works at: http://digitalcommons.wayne.edu/oa_theses Part of the Biomedical Engineering and Bioengineering Commons Recommended Citation Zhou, Chengpeng, "Quantitative Brain Electrical Activity In The nitI ial Screening Of Mild Traumatic Brain Injuries After Blast" (2015). Wayne State University Theses. Paper 442. This Open Access Thesis is brought to you for free and open access by DigitalCommons@WayneState. It has been accepted for inclusion in Wayne State University Theses by an authorized administrator of DigitalCommons@WayneState. QUANTITAITVE BRAIN ELECTRICAL ACTIVITY IN THE INITIAL SCREENING OF MILD TRAUMATIC BRAIN INJURIES AFTER BLAST by CHENGPENG ZHOU THESIS Submitted to the Graduate School of Wayne State University, Detroit, Michigan in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE 2015 MAJOR: BIOMEDICAL ENGINEERING Approved by: ____________________________________ Advisor Date © COPYRIGHT BY CHENGPENG ZHOU 2015 All Rights Reserved DEDICATION I dedicate my work to my family ii ACKNOWLEDGEMENTS First and foremost, I would like to thank God for giving me the strength to go through the Master journey in Biomedical Engineering. I would like to thank my mother, Mrs. Jurong Chen, for her love and constant support. I can finish my work today, because she was always ready to give everything! Thank you for your selfless love; you give me strength to continue my work and study. I would like to thank Dr. Chaoyang Chen, my mentor and my advisor, for giving me the chance to work in his lab. -
The Electroencephalogram (EEG)
iWorx Physiology Lab Experiment Experiment HP-1 The Electroencephalogram (EEG) Note: The lab presented here is intended for evaluation purposes only. iWorx users should refer to the User Area on www.iworx.com for the most current versions of labs and LabScribe2 Software. iWorx Systems, Inc. www.iworx.com iWorx Systems, Inc. 62 Littleworth Road, Dover, New Hampshire 03820 (T) 800-234-1757 / 603-742-2492 (F) 603-742-2455 LabScribe2 is a trademark of iWorx Systems, Inc. ©2013 iWorx Systems, Inc. Experiment HP-1: The Electroencephalogram (EEG) Background The living brain produces a continuous output of small electrical signals, often referred to as brain waves. The recording of these signals, called an electroencephalogram (EEG), is the summation of all the postsynaptic potentials (EPSPs and IPSPs) of the neurons in the cerebral cortex. The amplitudes of these signals are so small that they are measured in microvolts which are millionths of a volt or thousandths of a millivolt. Though they are small, the signals can be accurately detected and recorded. The electrodes that pick up these signals are attached to the surface of the scalp. The signals are then amplified many thousands of times. The amplified signals are then recorded with an electroencephalograph, which is a device for recording brain waves. The iWorx data recording unit will function as both an amplifier and an electroencephalograph for the experiments in this chapter. EEG Parameters The electroencephalograph is a continuous recording of waves of varying frequency and amplitude. The number of wave cycles or peaks that occurs in a EEG pattern in a set period of time is its frequency. -
Learning Alters Theta-Nested Gamma Oscillations in Inferotemporal Cortex
Learning alters theta-nested gamma oscillations in inferotemporal cortex Keith M Kendrick1, Yang Zhan1, Hanno Fischer1 Ali U Nicol1 Xuejuan Zhang 2 & Jianfeng Feng3 1Cognitive and Behavioural Neuroscience, The Babraham Institute, Cambridge, CB22 3AT, UK 2Mathematics Department, Zhejiang Normal University, Jinhua 321004, Zhejian Province, PR China 3Department of Computer Science, Warwick University, Coventry CV4 7AL UK and Centre for Computational Systems Biology, Fudan University, Shanghai, PR China. Corresponding authors: [email protected] [email protected] 1 How coupled brain rhythms influence cortical information processing to support learning is unresolved. Local field potential and neuronal activity recordings from 64- electrode arrays in sheep inferotemporal cortex showed that visual discrimination learning increased the amplitude of theta oscillations during stimulus presentation. Coupling between theta and gamma oscillations, the theta/gamma ratio and the regularity of theta phase were also increased, but not neuronal firing rates. A neural network model with fast and slow inhibitory interneurons was developed which generated theta nested gamma. By increasing N-methyl-D-aspartate receptor sensitivity similar learning-evoked changes could be produced. The model revealed that altered theta nested gamma could potentiate downstream neuron responses by temporal desynchronization of excitatory neuron output independent of changes in overall firing frequency. This learning-associated desynchronization was also exhibited by inferotemporal cortex neurons. Changes in theta nested gamma may therefore facilitate learning-associated potentiation by temporal modulation of neuronal firing. The functions of both low and high frequency oscillations in the brain have been the subject of considerable speculation1. Low frequency theta oscillations (4-8Hz) have been observed to increase in terms of power and phase-locked discharge of single neurons in a visual memory task2. -
Measuring Sleep Quality from EEG with Machine Learning Approaches
Measuring Sleep Quality from EEG with Machine Learning Approaches Li-Li Wang, Wei-Long Zheng, Hai-Wei Ma, and Bao-Liang Lu∗ Center for Brain-like Computing and Machine Intelligence Department of Computer Science and Engineering Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Brain Science and Technology Research Center Shanghai Jiao Tong University, Shanghai, 200240, China Abstract—This study aims at measuring last-night sleep quality Index [2], Epworth Sleep Scale [3], and Sleep Diaries [4]. from electroencephalography (EEG). We design a sleep ex- However, we have no way of knowing whether the respondents periment to collect waking EEG signals from eight subjects are honest, conscientious, responsible for self assessment and under three different sleep conditions: 8 hours sleep, 6 hours sleep, and 4 hours sleep. We utilize three machine learning related records and in many cases they may provide false approaches, k-Nearest Neighbor (kNN), support vector machine information or fill in the questionnaire not seriously. Secondly, (SVM), and discriminative graph regularized extreme learning the subjective evaluation method is more troublesome, time- machine (GELM), to classify extracted EEG features of power consuming and laborious, which requires participants to se- spectral density (PSD). The accuracies of these three classi- riously think about, a detailed answer, record relevant infor- fiers without feature selection are 36.68%, 48.28%, 62.16%, respectively. By using minimal-redundancy-maximal-relevance mation in time, in the meantime, experiment personnel also (MRMR) algorithm and the brain topography, the classification need a manual investigation and analysis of the information accuracy of GELM with 9 features is improved largely and in order to give a sleep quality evaluation and judgment of increased to 83.57% in average. -
Michelia Essential Oil Inhalation Increases Fast Alpha Wave Activity
Scientia Pharmaceutica Article Michelia Essential Oil Inhalation Increases Fast Alpha Wave Activity Phanit Koomhin 1,2,3,*, Apsorn Sattayakhom 2,4, Supaya Chandharakool 4, Jennarong Sinlapasorn 4, Sarunnat Suanjan 4, Sarawoot Palipoch 1, Prasit Na-ek 1, Chuchard Punsawad 1 and Narumol Matan 2,5 1 School of Medicine, Walailak University, Nakhonsithammarat 80160, Thailand; [email protected] (S.P.); [email protected] (P.N.-e.); [email protected] (C.P.) 2 Center of Excellence in Innovation on Essential oil, Walailak University, Nakhonsithammarat 80160, Thailand; [email protected] (A.S.); [email protected] (N.M.) 3 Research Group in Applied, Computational and Theoretical Science (ACTS), Walailak University, Nakhonsithammarat 80160, Thailand 4 School of Allied Health Sciences, Walailak University, Nakhonsithammarat 80160, Thailand; [email protected] (S.C.); [email protected] (J.S.); [email protected] (S.S.) 5 School of Agricultural Technology, Walailak University, Nakhonsithammarat 80160, Thailand * Correspondence: [email protected]; Tel.: +66-95295-0550 Received: 13 February 2020; Accepted: 6 May 2020; Published: 9 May 2020 Abstract: Essential oils are volatile fragrance liquids extracted from plants, and their compound annual growth rate is expected to expand to 8.6% from 2019 to 2025, according to Grand View Research. Essential oils have several domains of application, such as in the food and beverage industry, in cosmetics, as well as for medicinal use. In this study, Michelia alba essential oil was extracted from leaves and was rich in linalool components as found in lavender and jasmine oil. -
Psychological Construct
Psychological construct A psychological construct, or hypothetical construct, is a concept that is ‘constructed’ to describe specific ‘psychological’ activity, or a pattern of activity, that is believed to occur or exist but cannot be directly observed. In studying an individual’s state of consciousness, researchers typically rely on: • Information provided by the individual (e.g. self-reports), and/or • Behaviour that is demonstrated (e.g. responses during experimental research), and/or • Physiological changes that can be measured (e.g. recording brain activity). Consciousness Consciousness is the awareness of objects and events in the external world, and of our sensations, mental experiences and own existence at any given moment. Whatever we are aware of at any given moment is commonly referred to as the contents of consciousness. The contents of consciousness can include anything you think, feel and physically or mentally experience; for example: • Your awareness of your internal sensations, such as your breathing and the beating of your heart. • Your awareness of your surroundings, such as your perceptions of where you are, who you are with and what you see, hear, feel or smell. • Your awareness of yourself as the unique person having these sensory and perceptual experiences. • The memories of personal experiences throughout your life. • The comments you make to yourself. • Your beliefs and attitudes. • Your plans for activities later in the day. Consciousness is an experience — a moment by moment experience that is essential to what it means to be human. The experience is commonly described as being personal, selective, continuous and changing. Consciousness is personal because it is your subjective (‘personalised’) understanding of both your unique internal world and the external environment — it is individual to you. -
New Directions in the Management of Insomnia
New Directions in the Management of Insomnia Balancing Pathophysiology and Therapeutics Proceedings From an Expert Roundtable Discussion Release date: October 10, 2013 Expiration date: October 31, 2014 Estimated time to complete activity: 1.5 hours Jointly sponsored by Postgraduate Institute for Medicine and MedEdicus LLC This activity is supported by an educational grant from Merck & Co. Distributed with 2 Target Audience This activity has been designed to meet the educational needs of physicians involved in the management of patients with insomnia disorder. Statement of Need/Program Overview An estimated 40 to 70 million Americans are affected by Faculty insomnia. According to these estimates, twice as many Americans suffer from insomnia than from major depression. However, the Larry Culpepper, MD, MPH —Co-Chair true prevalence of insomnia is unknown because it is underdiagnosed and underreported. Recent updates in the Professor and Chairman of Family Medicine nosology and diagnostic criteria for insomnia have occurred as Boston University School of Medicine well as advances in understanding pathophysiology, which, in Boston University Medical Center turn, has led to the development of potential new treatments. Boston, Massachusetts The burden of medical, psychiatric, interpersonal, and societal consequences that can be attributed to insomnia and the Tom Roth, PhD —Co-Chair prevalence of patients with insomnia disorder treated in primary Director of Research care underscore the importance of continuing medical education Sleep Disorders and Research Center (CME) that improves the clinical understanding, diagnosis, and Henry Ford Hospital treatment of the disorder by primary care providers. This continuing education activity is based on an expert roundtable Detroit, Michigan discussion and literature review and provides an update in Sonia Ancoli-Israel, PhD insomnia disorder. -
Quantum Mind Meditation and Brain Science
Quantum Mind Meditation and Brain Science PAUL DENNISON Published under the auspices of Rama IX Temple, Bangkok, July 2013, to mark the 2600-year anniversary of the Buddha’s enlightenment Quantum Mind Meditation and Brain Science Quantum Mind: Meditation and Brain Science © Paul Dennison Published 2013 under the auspices of Wat Phra Rama 9 Paendin Dhamma Foundation 999/9 Soi 19 Rama IX Road, Bang Kabi, Huai Khwang, Bangkok Thailand 10320 Tel: 0-2719-7676 Fax: 0-2719-7675 E-mail: [email protected] Printed and bound in Thailand by Sangsilp Press Ltd Part. 116/38-47 Rangnam Road, Thanon Phaya Thai, Ratchathewi, Bangkok Thailand 10400 Tel: 0-2642-4633-4 Fax:: 0-2245-9785 E-mail: [email protected] The front cover illustration is a combined view of the Antennae Galaxies, taken in 2011 by the ALMA Radio Telescope Array and the Hubble Space Telescope. Superposed is an EEG recording of the brain wave activity of a Samatha meditator recorded in 2010. Credit: ALMA (ESO/NAOJ/NRAO). Visible light image: the NASA/ESA Hubble Space Telescope. http://www.eso.org/public/images/eso1137a/ (Reproduced under the Creative Commons Attribution License) Contents Beginnings … Fast forward … Buddhist meditation comes West Samatha and Vipassanā meditation Jhāna An EEG study of Samatha meditation Quantum mind To be continued … Links and references Beginnings … Considering the precision and detail of Buddhist meditation traditions handed down, person to person, to this day, it is easy to not fully appreciate the very long time period involved, or the great achievement of Buddhist Sanghas worldwide in preserving the teachings. -
Cerebral Activation Patterns of Older Adults While Performing the Functional Gait Test
Cerebral Activation Patterns Of Older Adults While Performing The Functional Gait Test Larissa Bastos Tavares ( [email protected] ) Universidade Federal do Rio Grande do Norte Centro de Ciencias da Saude https://orcid.org/0000- 0002-8306-3183 Idaliana Fagundes de Souza Universidade Federal do Rio Grande do Norte Centro de Ciencias da Saude Bartolomeu Fagundes de Lima Filho Universidade Federal do Rio Grande do Norte Centro de Ciencias da Saude Kim Mansur Yano Universidade Federal do Rio Grande do Norte Centro de Ciencias da Saude Juliana Maria Gazzola Universidade Federal do Rio Grande do Norte Centro de Ciencias da Saude Edgar Ramos Vieira Universidade Federal do Rio Grande do Norte Centro de Ciencias da Saude Fabricia Azevedo da Costa Cavalcanti Universidade Federal do Rio Grande do Norte Centro de Ciencias da Saude Research Keywords: EEG, Virtual Reality, older adults, Physiotherapy. Posted Date: March 10th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-16510/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/15 Abstract Dual-task activities are common in daily life and have greater motor/cognitive demands. These are conditions that increase the risk of older adult falls. Falls are a public health problem. Brain mapping during dual-task activities can inform which therapeutic activities stimulate specic brain areas, improving functionality, and decreasing dependence and the risk of falls. The objective of the study was to characterize the brain activity of healthy older adults while performing a dual-task activity called the Functional Gait Test (FGT).