Psychiatry

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Psychiatry is the medical specialty devoted to the study and treatment of mental disorders. (Wikipedia.org)






Conferences related to Psychiatry

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2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

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


2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

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.


2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

This conference is the annual premier meeting on the use of instrumentation in the Nuclear and Medical fields. The meeting has a very long history of providing an exciting venue for scientists to present their latest advances, exchange ideas, renew existing collaboration and form new ones. The NSS portion of the conference is an ideal forum for scientists and engineers in the field of Nuclear Science, radiation instrumentation, software engineering and data acquisition. The MIC is one of the most informative venues on the state-of-the art use of physics, engineering, and mathematics in Nuclear Medicine and related imaging modalities, such as CT and increasingly so MRI, through the development of hybrid devices


2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

robotics, intelligent systems, automation, mechatronics, micro/nano technologies, AI,


ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

ICASSP is the world’s largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class presentations by internationally renowned speakers, cutting-edge session topics and provide a fantastic opportunity to network with like-minded professionals from around the world.


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Periodicals related to Psychiatry

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Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Biomedical Engineering, IEEE Transactions on

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.


Circuits and Systems Magazine, IEEE


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


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Most published Xplore authors for Psychiatry

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Xplore Articles related to Psychiatry

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IEEE Spectrum - Front cover

IEEE Spectrum, 2017

Presents the front cover for this issue of the publication.


Characterization of the relationship between semantic and structural language features in psychiatric diagnosis

2016 50th Asilomar Conference on Signals, Systems and Computers, 2016

Psychiatry describes speech symptoms that are indicative of disorganized thought, but measuring them is not easy. With natural language processing tools, it is possible to quantify psychiatric symptoms. Graph representations of word trajectories and semantic incoherence have independently been shown to predict the Schizophrenia diagnosis. Both analyses assess thought organization through speech, but the relationship between them is unknown. To ...


Hierarchical Chunking during Learning of Visuomotor Sequences

The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006

It is well known that learning a sequential skill involves chaining a number of primitive actions together into chunks. We describe three different experiments using an explicit visuomotor sequence learning paradigm called the m times n task. The m times n task enables hierarchical learning of sequences by presenting m elements of the sequence at a time (called the set). ...


Classification of event-related potential waveforms with parallel principal component neural networks

Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society, 1995

A new artificial neural network (ANN) architecture for classification of event-related potential (ERP) waveforms is proposed. The new architecture is called the parallel principal component neural network (PPCNN). The use of PPCNN is discussed in terms of classification of ERP data obtained from chronic schizophrenic patients and from normal volunteers.


Reversible data hiding based on interleaving max-min difference histogram

2009 Joint Conferences on Pervasive Computing (JCPC), 2009

This work proposed a reversible data hiding algorithm that is based on the interleaving max-min difference histogram. The method divides the cover image into non-overlapping identical blocks. In each block, the maximum or minimum pixel is selected to calculate absolute differences between the gray level value of the selected pixel and that of the other pixels. Then, these differences are ...


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Educational Resources on Psychiatry

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IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Psychiatry"

IEEE-USA E-Books

  • IEEE Spectrum - Front cover

    Presents the front cover for this issue of the publication.

  • Characterization of the relationship between semantic and structural language features in psychiatric diagnosis

    Psychiatry describes speech symptoms that are indicative of disorganized thought, but measuring them is not easy. With natural language processing tools, it is possible to quantify psychiatric symptoms. Graph representations of word trajectories and semantic incoherence have independently been shown to predict the Schizophrenia diagnosis. Both analyses assess thought organization through speech, but the relationship between them is unknown. To fill this gap, here we characterize the relationship between structural and semantic features of free verbal reports from 60 patients and matched controls. Graph connectedness is inversely correlated to semantic incoherence and both explain 54% of negative symptoms variance.

  • Hierarchical Chunking during Learning of Visuomotor Sequences

    It is well known that learning a sequential skill involves chaining a number of primitive actions together into chunks. We describe three different experiments using an explicit visuomotor sequence learning paradigm called the m times n task. The m times n task enables hierarchical learning of sequences by presenting m elements of the sequence at a time (called the set). The entire sequence to be learned is composed of n such sets and is called a hyperset. In the first experiment, we showed the chunking phenomenon while learning a sequence as opposed to following randomly generated visual cues. We further explored the nature of chunking across sets using complex sequences in the second experiment. Finally, we investigated effector dependence of the chunking patterns in the third experiment. Our results point out the facilitating factors for chunk formation in visuomotor sequence learning.

  • Classification of event-related potential waveforms with parallel principal component neural networks

    A new artificial neural network (ANN) architecture for classification of event-related potential (ERP) waveforms is proposed. The new architecture is called the parallel principal component neural network (PPCNN). The use of PPCNN is discussed in terms of classification of ERP data obtained from chronic schizophrenic patients and from normal volunteers.

  • Reversible data hiding based on interleaving max-min difference histogram

    This work proposed a reversible data hiding algorithm that is based on the interleaving max-min difference histogram. The method divides the cover image into non-overlapping identical blocks. In each block, the maximum or minimum pixel is selected to calculate absolute differences between the gray level value of the selected pixel and that of the other pixels. Then, these differences are used to generate a histogram and the histogram shifting method is adopted to embed data. The change of the pixel gray level upon shifting and embedding obtained using the max difference is contrary to that obtained using the min difference. The method of interleaving uses the max difference and the min difference to counteract the change in the gray levels of some pixels. The total of the changed gray level values is thus reduced. Therefore, the PSNR value can be increased and the quality of the stego image improved. Experimental results reveal that the proposed method yields a higher embedding capacity than that of the median difference histogram.

  • Virtual reality and spatial ability

    None

  • Performance evaluation of Algebraic Reconstruction Techniques for the mapping of cortex current distribution activity by inversion of simulated event related potentials

    The performance of Algebraic Reconstruction Technique (ART) algorithms for the inversion of simulated Event-Related (Evoked) Potentials is investigated. Using reference dipole multipole and extended distributions, we examine the behavior of the algorithms by checking a set of critical parameters related to the algorithm's self-consistency, measuring the covergence accuracy and speed, the quality of resolution and the resistance to various levels of noise corruption.

  • Development of a virtual supermarket shopping task for cognitive remediation of memory and executive functions in schizophrenia

    Impairment of executive and memory functions was repeatedly observed in various neuropsychiatric disorders, such as schizophrenia. As the pharmacological treatment does not influence the deficit sufficiently, the significance of cognitive remediation increases in importance. The presented study introduces the virtual Supermarket Shopping Task (vSST), a novel method aimed at memory and executive functions, designed in ecologically valid environment. The results of the first pilot study showed significant difference in the performance between the males and females. In the second pilot, the difference between males and females was eliminated subsequently to adding other items besides groceries to the shopping list. The debriefing of participants pointed out the importance of elected encoding strategy. Considering adjustable parameters that allow us to increase the task difficulty and complexity, vSST represents potentially well-adjustable remediation method.

  • Reconstruction of simulated functional brain images using generalised matrix inverses and algebraic reconstruction techniques

    It is widely believed that Event-Related Potentials measured at the scalp include useful information about the underlying neural mechanisms related to stimuli processing, attention and memory. For this information to be extracted the inverse problem must be solved in order to compute the intracranial sources responsible for the externally measured potential quantities. Much work has been dedicated to localized dipole computation [1] whereas a new technique has been proposed for computing images of distributed cortex activity, producing interesting clinical results in the field of Psychiatry [2,3]. The purpose of the present work was to study comparatively the performance of iterative techniques known as Algebraic Reconstruction Techniques and of the Generalized Matrix Inversion Technique [4] in inverting simulated ERP data.

  • Using Pulse Waves for Self-Cognition

    In this research, we obtain various indicators by analyzing pulse waves, which are then used to self-cognize one's own psychological state and characteristics. Pulse wave measurement is simple and safe. What's more, we can get three indicators by analyzing the measured data: the largest Lyapunov exponent (LLE), autonomic nerve balance (ANB), and sample entropy (SampEn). Using these three indicators, we conducted research on a number of factors, including the discrimination of depression, the psychological state analysis of Alzheimer's disease, the effects of Parkinson's disease on indicators, and the change of mental state after long-term study. However, in order to utilize this technology more scientifically, we need to assemble a more complete database and make more systematic measurements.



Standards related to Psychiatry

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Jobs related to Psychiatry

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