279 resources related to Mental disorders
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The scope of the 2020 IEEE/ASME AIM includes the following topics: Actuators, Automotive Systems, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine Interfaces, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro-Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, System Identification and Adaptive Control, Motion Control, Vibration and Noise Control, Neural and Fuzzy Control, Opto-Electronic Systems, Optomechatronics, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, Robotics, Sensors, System Integration, Transportation Systems, Smart Materials and Structures, Energy Harvesting and other frontier fields.
The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore
The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.
The IEEE Sensors Conference is a forum for presentation, discussion, and exchange of state-of-the art information including the latest research and development in sensors and their related fields. It brings together researchers, developers, and practitioners from diverse fields including international scientists and engineers from academia, research institutes, and companies to present and discuss the latest results in the general field of sensors.
The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...
Theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.
2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2016
Mental illnesses rank as some of the most disabling conditions, affecting millions of people, across the globe. In general, the main challenge of mental disorders is that they remain difficult to detect on suffering patients. In an online environment, the challenge extends to the collection of patients data and the implementation of proper algorithms to assist in the detection of ...
2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015
The Patient Health Questionnaire (PHQ-9) is the depression module, which provides a score correlating to each of the Depression Severity Measure (DSM- IV) criteria, whose output is a total score suggesting which category of depression a patient slots into. In this paper we propose a novel method to potentially improve the current system in place for health professionals in diagnosing ...
Proceedings of the International Conference on Multimedia Computing and Systems, 1995
Nearly 14% of American adults have met the DSM-III-R (Diagnostic and Statistical Manual of Mental Disorders, 3rd Edition, Revised) criteria for lifetime alcohol abuse or dependence. Although it has been estimated that 20% of patients visiting physicians qualify for an alcoholic diagnosis, the early stages of excessive drinking often remain unrecognized in general medical practice and in hospitals due to ...
2005 IEEE International Symposium on Circuits and Systems, 2005
Visual hallucinations have been described several times, but the causes that produces hallucinations are unknown. These kinds of studies are important because these phenomena do not appears only in people affected by mental illnesses; in the last years hallucinations have been reported by astronauts in several space missions. The generation of such phenomena can be dealt with by studying the ...
The 3rd International Conference on Information Sciences and Interaction Sciences, 2010
In this really hectic world, quite a number of people are exposed to situations where mental stress Is unavoidable. This leads to people having all kinds of mental health problems that eventually may turn to chronic mental disorders. People with mental health problems normally have the tendency of not admitting their health problems because of the stigma attached to these ...
Emerging Technologies for the Control of Human Brain Dynamics: IEEE TechEthics Keynote with Danielle Bassett
Gender-Based Occupational Stereotypes: New Behaviors, Old Attitudes - Carolyn Matheus & Elizabeth Quinn - IEEE WIE Forum USA East 2017
Threat Hunters, Multi-factor Authentification and Mental Agility - Cybersecurity in a Hyperconnected World
Clinical, Research, and Government Careers in Neurotechnology - IEEE Brain Workshop
Translational Neural Engineering: Bringing Neurotechnology into the Clinics - IEEE Brain Workshop
Scientific Discovery & Deep Brain Stimulation: Jerrold Vitek, MD, PhD
Learning How to Learn: Powerful Mental Tools to Help You Master Tough Subjects
Accessing the Future
Q&A with Dr. Jennifer Gelinas: IEEE Brain Podcast, Episode 8
EMBC 2011 - Course: Virtual Reality and Robotics in Neurorehabilitation-Sergei Adamovich, PhD
EMBC '09 - Advances in Neuro-rehabilitation
Vladimir Cherkassky - Predictive Learning, Knowledge Discovery and Philosophy of Science
Risto Miikkilainen - Multiagent Learning Through Neuroevolution
EMBC 2011 - Course: Virtual Reality and Robotics in Neurorehabilitation-Judith Deutsch VR and Video Gaming
Q&A with Dr. Maryam Shanechi: IEEE Brain Podcast, Episode 6 Part 2
Q&A with Dr. Maryam Shanechi: IEEE Brain Podcast, Episode 6 Part 1
Uncovering the Neural Code of Learning Control - Jennie Si - WCCI 2012 invited lecture
Q&A with Dr. Jacob Robinson: IEEE Brain Podcast, Episode 5
How Facial Analysis Technology Can Help Children with Genetic Disorders - IEEE Region 4 Technical Presentation
Mental illnesses rank as some of the most disabling conditions, affecting millions of people, across the globe. In general, the main challenge of mental disorders is that they remain difficult to detect on suffering patients. In an online environment, the challenge extends to the collection of patients data and the implementation of proper algorithms to assist in the detection of such illnesses. In this paper, we propose a novel data collection mechanism and build predictive models that leverage language and behavioral patterns, used particularly on Twitter, to determine whether a user is suffering from a mental disorder. After training the predictive models, they are further pre- trained to serve as the backend for our demonstration, MIDAS. MIDAS offers an analytics web-service to explore several characteristics pertaining to user's linguistic and behavioral patterns on social media, with respect to mental illnesses.
The Patient Health Questionnaire (PHQ-9) is the depression module, which provides a score correlating to each of the Depression Severity Measure (DSM- IV) criteria, whose output is a total score suggesting which category of depression a patient slots into. In this paper we propose a novel method to potentially improve the current system in place for health professionals in diagnosing depression. Thus, our objective is to propose a more computational method of measurement, similar to the PHQ-9 already in place, with a mathematical ranking system based on a large unstructured dataset consisting of abstracts available from PubMed.
Nearly 14% of American adults have met the DSM-III-R (Diagnostic and Statistical Manual of Mental Disorders, 3rd Edition, Revised) criteria for lifetime alcohol abuse or dependence. Although it has been estimated that 20% of patients visiting physicians qualify for an alcoholic diagnosis, the early stages of excessive drinking often remain unrecognized in general medical practice and in hospitals due to inadequate training and erroneous stereotyping. To address this problem, the American Research Corporation of Virginia (ARCOVA) is developing the Interactive Multimedia Program for Alcoholism Assessment and Counseling Training (IMPACT), a combination of audiovisual media and programmed interaction for the teaching of alcoholism management skills to physicians and nurses at both the student and professional levels. The hallmark of this program is a role-play activity with patient personalities simulated by digital audio and video that will respond to questions posed by the user.
Visual hallucinations have been described several times, but the causes that produces hallucinations are unknown. These kinds of studies are important because these phenomena do not appears only in people affected by mental illnesses; in the last years hallucinations have been reported by astronauts in several space missions. The generation of such phenomena can be dealt with by studying the dynamics of interacting neural circuits. This paper takes into account two third-order neuron models with the aim to understand how several parts of the visual cortex can interact with each other and show a dynamical behavior.
In this really hectic world, quite a number of people are exposed to situations where mental stress Is unavoidable. This leads to people having all kinds of mental health problems that eventually may turn to chronic mental disorders. People with mental health problems normally have the tendency of not admitting their health problems because of the stigma attached to these kinds of illnesses. Most of them are in denial state, and this situation may cause very serious social problems since people with mental problems will develop some kind of mental disorders, and as a result, they might be harmful to others around them. People with mental health problems must receive proper treatments and medications. If their mental status can be assessed and examined easily, then most probably their mental problems can be detected at a very early stage, and can be easily controlled and cured. The above scenarios become the motivation for conducting this research. This research paper presents some findings on mental health and disorders on past research study's results and also proposes an online mental status examination (MSE) system that examines individuals' mental health status. The result of the MSE system is used in determining whether the respective person needs to undergo a more detailed diagnosis for more specific mental disorders. It is hoped that the outcomes of this research study are able to assist new psychotherapists and psychiatrists in examining and diagnosing those who are affected by some kind of mental disorders in a more efficient manner.
In this paper, we analyzed "St. Louis Risk Research Data'', which has a general missing pattern and conclude that the parental psychological disorders have significant effects on various aspects of the development of their children, specifically, the effects on the first child might be bigger than the second child.
In this study, we propose a content-based learning content management system (CBLCMS). Through this system, video content can be segmented by an automatic shot/scene retrieval technology and stored in the learning asset database (LADB). Using the MPEG-7 visual descriptor to define the metadata of the multimedia assets, users (teachers) is easier to construct their learning material, for example, SCO.By integration of MPEG-7 and SCORM standards, the learning material can be used in any LMS (learning management system), as long as it also conforms to SCORM standard. Since the mental illness prevails to bring about many social problems over the years, understanding the symptoms of mental illness and treatment is important for the care giver. For this reason, a home care teaching materials will be treated as an example to elucidate the operation of the system.
An examination is made of the possibility that abnormalities of the auditory brainstem response (ABR) can be used to indicate qualitative and functional abnormalities of the brain stem. In order to examine the possibilities, variables defined by an expert were analyzed statistically. From the results, the group of brain-damaged persons was divided into five classes, based on the degree of damage, and the relationships among the classes and the abnormalities of the respective ABRs were clarified. The results confirm the usefulness of ABRs for indicating brainstem abnormalities.<<ETX>>
Stigma is a common and serious problem for patients who suffer from depression and other mental illnesses. We designed a serious game to address this problem. The game enables player to experience and strive to overcome the disempowering aspects of depression during the journey to recovery. Through the game's interaction, player may gain a better understanding of the relationship between patient and the disease, which in turn may help to change the players' moral model with the disease model, and thereby diminish the stigma of depression.
Objective: To understand the research hotspots of Attention- Deficit/Hyperactivity Disorder (ADHD) by PubMed. Methods: With MS Excel, SPSS, Cytoscape software, we took MeSH (Medical Subject Headings) word frequency analysis, clustering analysis, co-word network graph of PubMed papers. Results: By MeSH of 11873 papers analyzed, it shows that the current ADHD research hotspots had focused on "Central Nervous System Stimulants, Methylphenidate, Attention, Brain, Cognition Disorders, Mental Disorders, Propylamines, Adrenergic Uptake Inhibitors, Substance-Related Disorders", etc, it also suggests that the most importance of which was Central Nervous System Stimulants. Conclusion: With multi-angle analysis of bibliometrics, we understand the outline of research hotspots about ADHD. It is helpful and time saving for the researcher or doctor to understand the research hotspots in ADHD.
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