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Author: Daniel Q. Sinkiewicz Publisher: ISBN: Category : Cochlear implants Languages : en Pages : 104
Book Description
"Cortical auditory evoked potential (CAEP) tests are used to evaluate cochlear implant (CI) patient auditory pathways, but when the CI device processes sound stimuli it produces an electrical artifact which obscures the relevant information in the neural response. Currently there are multiple methods which attempt to extract the neural response from the contaminated CAEP, but there is no gold standard which can quantitatively confirm the effectiveness of these methods. To address this crucial shortcoming, this work employs time-frequency analysis, using the continuous wavelet transform (CWT), to quantify how much artifact energy remains in the neural response recovered by these methods. The proposed CWT evaluation tool calculates the two-dimensional correlation coefficient between the time-frequency representations of the extracted neural response and the stimulus signal envelope, which is a good approximation of the artifact, as a means of quantitatively assessing how much artifact energy remains in the extracted response. A novel technique for extracting the neural response from contaminated CAEPs is then proposed. The new method uses matching pursuit (MP) based feature extraction to represent the contaminated CAEP in a feature space, and support vector machines (SVM) to classify the components as normal hearing (NH) or artifact. The NH components are combined to extract the neural response without artifact energy. The proposed method was applied on two sets of CI CAEPs generated using tone stimuli, and was shown to extract CAEPs from CI data more effectively than current artifact removal techniques, as verified using the evaluation tool. The method was then implemented on a CI CAEP generated by a speech stimulus, which has not been performed by any existing methods, and successfully extracted the neural response. The proposed extraction technique and evaluation tool will allow accurate clinical evaluation of CI patient auditory pathways by removing artifact energy which obscures the important CAEP features."--Abstract.
Author: Daniel Q. Sinkiewicz Publisher: ISBN: Category : Cochlear implants Languages : en Pages : 104
Book Description
"Cortical auditory evoked potential (CAEP) tests are used to evaluate cochlear implant (CI) patient auditory pathways, but when the CI device processes sound stimuli it produces an electrical artifact which obscures the relevant information in the neural response. Currently there are multiple methods which attempt to extract the neural response from the contaminated CAEP, but there is no gold standard which can quantitatively confirm the effectiveness of these methods. To address this crucial shortcoming, this work employs time-frequency analysis, using the continuous wavelet transform (CWT), to quantify how much artifact energy remains in the neural response recovered by these methods. The proposed CWT evaluation tool calculates the two-dimensional correlation coefficient between the time-frequency representations of the extracted neural response and the stimulus signal envelope, which is a good approximation of the artifact, as a means of quantitatively assessing how much artifact energy remains in the extracted response. A novel technique for extracting the neural response from contaminated CAEPs is then proposed. The new method uses matching pursuit (MP) based feature extraction to represent the contaminated CAEP in a feature space, and support vector machines (SVM) to classify the components as normal hearing (NH) or artifact. The NH components are combined to extract the neural response without artifact energy. The proposed method was applied on two sets of CI CAEPs generated using tone stimuli, and was shown to extract CAEPs from CI data more effectively than current artifact removal techniques, as verified using the evaluation tool. The method was then implemented on a CI CAEP generated by a speech stimulus, which has not been performed by any existing methods, and successfully extracted the neural response. The proposed extraction technique and evaluation tool will allow accurate clinical evaluation of CI patient auditory pathways by removing artifact energy which obscures the important CAEP features."--Abstract.
Author: Joseph M. Miller Publisher: Springer Science & Business Media ISBN: 1461232562 Category : Medical Languages : en Pages : 416
Book Description
This volume describes a new direction in technological and biomedical developments for profoundly deaf individuals. The first section covers topics of tissue characteristics, such as responses to electrical stimulation and computer modelling of cochlea currents. Perception of acoustic signals, responses and behavioral pattern as well as psychophysical aspects are treated in the second part. Part III is addressed to perspectives and challenges of encoding schemes. Reports on studies of acoustic and electrical encoding of temporal information, speech features with cochlear implants as well as psychophysical and speech perceptual studies will allow further strategies for cochlea implants.
Author: Nina Kraus Publisher: Springer ISBN: 331947944X Category : Medical Languages : en Pages : 306
Book Description
This volume will cover a variety of topics, including child language development; hearing loss; listening in noise; statistical learning; poverty; auditory processing disorder; cochlear neuropathy; attention; and aging. It will appeal broadly to auditory scientists—and in fact, any scientist interested in the biology of human communication and learning. The range of the book highlights the interdisciplinary series of questions that are pursued using the auditory frequency-following response and will accordingly attract a wide and diverse readership, while remaining a lasting resource for the field.
Author: Pim van Dijk Publisher: Springer ISBN: 331925474X Category : Medical Languages : en Pages : 487
Book Description
The International Symposium on Hearing is a prestigious, triennial gathering where world-class scientists present and discuss the most recent advances in the field of human and animal hearing research. The 2015 edition will particularly focus on integrative approaches linking physiological, psychophysical and cognitive aspects of normal and impaired hearing. Like previous editions, the proceedings will contain about 50 chapters ranging from basic to applied research, and of interest to neuroscientists, psychologists, audiologists, engineers, otolaryngologists, and artificial intelligence researchers.
Author: John van Opstal Publisher: Academic Press ISBN: 0128017252 Category : Science Languages : en Pages : 438
Book Description
The Auditory System and Human Sound-Localization Behavior provides a comprehensive account of the full action-perception cycle underlying spatial hearing. It highlights the interesting properties of the auditory system, such as its organization in azimuth and elevation coordinates. Readers will appreciate that sound localization is inherently a neuro-computational process (it needs to process on implicit and independent acoustic cues). The localization problem of which sound location gave rise to a particular sensory acoustic input cannot be uniquely solved, and therefore requires some clever strategies to cope with everyday situations. The reader is guided through the full interdisciplinary repertoire of the natural sciences: not only neurobiology, but also physics and mathematics, and current theories on sensorimotor integration (e.g. Bayesian approaches to deal with uncertain information) and neural encoding. - Quantitative, model-driven approaches to the full action-perception cycle of sound-localization behavior and eye-head gaze control - Comprehensive introduction to acoustics, systems analysis, computational models, and neurophysiology of the auditory system - Full account of gaze-control paradigms that probe the acoustic action-perception cycle, including multisensory integration, auditory plasticity, and hearing impaired
Author: National Research Council Publisher: National Academies Press ISBN: 0309092965 Category : Social Science Languages : en Pages : 321
Book Description
Millions of Americans experience some degree of hearing loss. The Social Security Administration (SSA) operates programs that provide cash disability benefits to people with permanent impairments like hearing loss, if they can show that their impairments meet stringent SSA criteria and their earnings are below an SSA threshold. The National Research Council convened an expert committee at the request of the SSA to study the issues related to disability determination for people with hearing loss. This volume is the product of that study. Hearing Loss: Determining Eligibility for Social Security Benefits reviews current knowledge about hearing loss and its measurement and treatment, and provides an evaluation of the strengths and weaknesses of the current processes and criteria. It recommends changes to strengthen the disability determination process and ensure its reliability and fairness. The book addresses criteria for selection of pure tone and speech tests, guidelines for test administration, testing of hearing in noise, special issues related to testing children, and the difficulty of predicting work capacity from clinical hearing test results. It should be useful to audiologists, otolaryngologists, disability advocates, and others who are concerned with people who have hearing loss.
Author: Bin He Publisher: Springer Science & Business Media ISBN: 1461452279 Category : Technology & Engineering Languages : en Pages : 801
Book Description
Neural Engineering, 2nd Edition, contains reviews and discussions of contemporary and relevant topics by leading investigators in the field. It is intended to serve as a textbook at the graduate and advanced undergraduate level in a bioengineering curriculum. This principles and applications approach to neural engineering is essential reading for all academics, biomedical engineers, neuroscientists, neurophysiologists, and industry professionals wishing to take advantage of the latest and greatest in this emerging field.
Author: Ruth Y. Litovsky Publisher: Springer Nature ISBN: 3030571009 Category : Medical Languages : en Pages : 425
Book Description
The field of Binaural Hearing involves studies of auditory perception, physiology, and modeling, including normal and abnormal aspects of the system. Binaural processes involved in both sound localization and speech unmasking have gained a broader interest and have received growing attention in the published literature. The field has undergone some significant changes. There is now a much richer understanding of the many aspects that comprising binaural processing, its role in development, and in success and limitations of hearing-aid and cochlear-implant users. The goal of this volume is to provide an up-to-date reference on the developments and novel ideas in the field of binaural hearing. The primary readership for the volume is expected to be academic specialists in the diverse fields that connect with psychoacoustics, neuroscience, engineering, psychology, audiology, and cochlear implants. This volume will serve as an important resource by way of introduction to the field, in particular for graduate students, postdoctoral scholars, the faculty who train them and clinicians.
Author: Terrence J. Sejnowski Publisher: MIT Press ISBN: 026203803X Category : Computers Languages : en Pages : 354
Book Description
How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.
Author: Daniel Q. Sinkiewicz
Author: Daniel Q. Sinkiewicz
Author: Joseph M. Miller
Author: Nina Kraus
Author: Pim van Dijk
Author: John van Opstal
Author: National Research Council
Author: Bin He
Author: Ruth Y. Litovsky
Author: Terrence J. Sejnowski
Author: