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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： J. S. Brumberg S. D. Lorenz B. V. Galbraith F. H. Guenther with Department of Speech-Language-Hearing University of Kansas Lawrence KS and the Department of Speech Language and Hearing Sciences Boston University Boston MA with the Program in Cognitive and Neural Systems Boston University Boston MA with the Graduate Program in Neuroscience and Department of Speech Language and Hearing Sciences Boston University Boston MA

ISBN: (纸本)9781424441198

In this paper we present a framework for reducing the development time needed for creating applications for use in non-invasive brain-computer interfaces (BCI). Our framework is primarily focused on facilitating rapid software "app" development akin to current efforts in consumer portable computing (e.g. smart phones and tablets). This is accomplished by handling intermodule communication without direct user or developer implementation, instead relying on a core subsystem for communication of standard, internal data formats. We also provide a library of hardware interfaces for common mobile EEG platforms for immediate use in BCI applications. A usecase example is described in which a user with amyotrophic lateral sclerosis participated in an electroencephalographybased BCI protocol developed using the proposed framework. We show that our software environment is capable of running in real-time with updates occurring 50-60 times per second with limited computational overhead (5 ms system lag) while providing accurate data acquisition and signal analysis.

关键词： brain-computer BCI EEG

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Surface electromyographic control of speech synthesis

Surface electromyographic control of speech synthesis

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Meredith J. Cler Alfonso Nieto-Castanon Frank H. Guenther Cara E. Stepp Graduate Program for Neuroscience-Computational Neuroscience Boston University Department of Speech Language and Hearing Sciences Boston University Departments of Speech Language and Hearing Sciences and Biomedical Engineering Boston University

ISBN: (纸本)9781424479276

Individuals with very high spinal cord injuries (e.g. C1-C3) may be ventilator-dependent and therefore unable to support speech breathing. However, their facial musculature is intact, given that these muscles are innervated by cranial nerves. We developed a system using surface electromyography (sEMG) recorded from facial muscles to control a phonemic interface and voice synthesizer and tested the system in healthy individuals. Users were able to use five facial gestures to control an onscreen cursor and the phonemic interface. Users had mean information transfer rates (ITRs) of 59.5 bits/min when calculating ITRs using the number of phonemes selected. To compare with orthographic systems, ITRs were also calculated using the equivalent number of letters required to spell the selected word. With this calculation, users had a mean ITR of 70.1. Results are promising for further development and testing in individuals with high spinal cord injuries.

关键词： Muscles speech Electrodes Mice Spinal cord injury Educational institutions Training

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Discrete vs. continuous surface electromyographic interface control

Discrete vs. continuous surface electromyographic interface ...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Meredith J. Cler Carolyn M. Michener Cara E. Stepp Graduate Program for Neuroscience-Computational Neuroscience Boston University Department of Speech Language and Hearing Sciences Boston University Departments of Speech Language and Hearing Sciences and Biomedical Engineering Boston University

ISBN: (纸本)9781424479276

Over 50% of the 273,000 individuals with spinal cord injuries in the US have cervical injuries and are therefore unable to operate a keyboard and mouse with their hands. In this experiment, we compared two systems using surface electromyography (sEMG) recorded from facial muscles to control an onscreen keyboard. Both systems used five sEMG sensors to capture muscle activity during five distinct facial gestures that then mapped to five cursor commands: move left, move right, move up, move down, and click. One system used a discrete movement and feedback algorithm, in which the user would make one quick facial gesture, causing a corresponding discrete movement to an adjacent button. The other system was continuously updated and allowed the user to move in any 360° direction smoothly. Information transfer rates (ITRs) in bits per minute were high for both systems. Users of the continuous system showed significantly higher ITRs (average of 68.5;p < 0.02) compared to users of the discrete system (average of 54.3 bits/min).

关键词： Electrodes Muscles Calibration Spinal cord injury Keyboards speech Electromyography

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Update on fitness standards for hearing-critical jobs

Update on fitness standards for hearing-critical jobs

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10th International Congress on Noise as a Public Health Problem 2011, ICBEN 2011

作者： Laroche, C. Giguére, C. Vaillancourt, V. Soli, S. Audiology and Speech-Language Pathology Program University of Ottawa Ottawa ON K1H 8M5 Canada Department of Human Communication Sciences and Devices House Ear Institute CA 90057 United States

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Augmentative and alternative communication for adults following glossectomy and laryngectomy surgery

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AAC: Augmentative and Alternative Communication 2001年第3期17卷 161-166页

作者： Fox, Lynn E. Rau, Marie T. Speech and Hearing Sciences Program Portland State University Portland OR United States Audiology and Speech Pathology Service Veterans Affairs Medical Center Portland OR United States

This article describes a collaborative approach to augmentative and alternative communication (AAC) assessment and intervention for persons who undergo radical head and neck Cancer surgery. Included is a description of the demographics and characteristics of surgical patients who undergo total glossectomy and total laryngectomy and how those characteristics may affect AAC assessment and intervention. Emphasis is given to the grief response that surgical patients experience and to the challenges placed on the intervention team by that response. The unique characteristics of grief following loss of communication are discussed in the context of a case study. The case study illustrates AAC intervention strategies with a focus on patient empowerment and flexibility.

关键词： speech communication

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Cervical Vestibular-Evoked Myogenic Potentials in Individuals with Diabetes Mellitus: A Systematic Review and Meta-Analysis

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Critical Reviews in Biomedical Engineering 2023年第2期51卷 45-56页

作者： Premkumar, Priya Karimuddanahalli Krishnamurthy, Rahul Kumar, Kaushlendra Yerraguntl, Krishna Narayan, Amitesh Roushan, Ritik Department of Special Education and Communication Disorders University of Nebraska LincolnNE68503 United States Department of Audiology and Speech Language Pathology Kastruba Medical College Mangalore Manipal Academy of Higher Education Karnataka Manipal India Department of Medical Rehabilitation Science Audiology Program College of Applied Medical Sciences King Khalid University Guraiger Abha Saudi Arabia Department of Physiotherapy Kasturba Medical College Karnataka Mangalore India

Vestibular evoked myogenic potentials (VEMPs) in individuals with diabetes mellitus (DM) provide evidence as how diabetes can bring about changes in the peripheral nervous system. Cervical VEMP (cVEMP) evaluates the function and integrity of the sacullo- collic pathway and ocular VEMP (oVEMP) evaluates the utriculo-collic pathway. cVEMP is an ipsilateral inhibitory response of the sternocleidomastoid muscle. cVEMP is recorded at higher intensity above 80-85 dBnHL with biphasic waveforms having initial peak positivity P13 followed by a negativity N23. We performed a systematic review following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines to evaluate cVEMP in diabetes mellitus. The search was conducted in the databases: PubMed, Cumulative Index of Nursing and Allied Health Literature, Scopus, and Cochrane library using the keywords "diabetes mellitus" and "vestibular evoked myogenic potential" or "cVEMP." A two-phase selection process was used for the final inclusion of studies, and the methodological quality of these studies was assessed using the Newcastle Ottawa scale (NCOS). Meta-analysis was performed using a random-effects model. For comparisons between DM and healthy controls, a significant difference was observed for cVEMP amplitude (P = 0.01). Our meta-analysis’s results suggest peripheral vestibular dysfunction can be observed in DM. It appears that cVEMPs may be useful in the early detection of neuropathy in DM. © 2023 by Begell House, Inc.

关键词： Random processes

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Training on the test set? An analysis of Spampinato et al.

arXiv

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arXiv 2018年

作者： Li, Ren Johansen, Jared S. Ahmed, Hamad Ilyevsky, Thomas V. Wilbur, Ronnie B. Bharadwaj, Hari M. Siskind, Jeffrey Mark Purdue University West LafayetteIN47907 United States School of Electrical and Computer Engineering Department of Speech Language and Hearing Sciences and the Linguistics Program Weldon School of Biomedical Engineering and the Department of Speech Language and Hearing Sciences

A recent paper [31] claims to classify brain processing evoked in subjects watching ImageNet stimuli as measured with EEG and to employ a representation derived from this processing to construct a novel object classifier. That paper, together with a series of subsequent papers [8, 15, 17, 20, 21, 30, 35], claims to revolutionize the field by achieving extremely successful results on a wide variety of computer-vision tasks, including object classification, transfer learning, and generation of images depicting human perception and thought using brain-derived representations measured through EEG. Our novel experiments and analyses demonstrate that their results crucially depend on the block design that they employ, where all stimuli of a given class are presented together, and fail with a rapid-event design, where stimuli of different classes are randomly intermixed. The block design leads to classification of arbitrary brain states based on block-level temporal correlations that tend to exist in all EEG data, rather than stimulus-related activity. Because every trial in their test sets comes from the same block as many trials in the corresponding training sets, their block design thus leads to surreptitiously training on the test set. This invalidates all subsequent analyses performed on this data in multiple published papers and calls into question all of the purported results. We further show that a novel object classifier constructed with a random codebook performs as well as or better than a novel object classifier constructed with the representation extracted from EEG data, suggesting that the performance of their classifier constructed with a representation extracted from EEG data does not benefit at all from the brain-derived representation. Our results calibrate the underlying difficulty of the tasks involved and caution against sensational and overly optimistic, but false, claims to the contrary. Copyright © 2018, The Authors. All rights reserved.

关键词： Neuroimaging

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A Home-Based Approach to Auditory Brainstem Response Measurement: Proof-of-Concept and Practical Guidelines

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Seminars in hearing 2022年第3期43卷 177-196页

作者： Parker, Ashley Skoe, Erika Tecoulesco, Lee Naigles, Letitia Department of Speech Language and Hearing Sciences University of Connecticut Storrs CT United States Connecticut Institute for Brain and Cognitive Sciences University of Connecticut Storrs CT United States Cognitive Sciences Program University of Connecticut Storrs CT United States Department of Psychological Sciences University of Connecticut Storrs CT United States Department of Communication Sciences and Disorders University of Pittsburgh Pittsburgh PA United States

Broad-scale neuroscientific investigations of diverse human populations are difficult to implement. This is because the primary neuroimaging methods (magnetic resonance imaging, electroencephalography [EEG]) historically have not been portable, and participants may be unable or unwilling to travel to test sites. Miniaturization of EEG technologies has now opened the door to neuroscientific fieldwork, allowing for easier access to under-represented populations. Recent efforts to conduct auditory neuroscience outside a laboratory setting are reviewed and then an in-home technique for recording auditory brainstem responses (ABRs) and frequency-following responses (FFRs) in a home setting is introduced. As a proof of concept, we have conducted two in-home electrophysiological studies: one in 27 children aged 6 to 16 years (13 with autism spectrum disorder) and another in 12 young adults aged 18 to 27 years, using portable electrophysiological equipment to record ABRs and FFRs to click and speech stimuli, spanning rural and urban and multiple homes and testers. We validate our fieldwork approach by presenting waveforms and data on latencies and signal-to-noise ratio. Our findings demonstrate the feasibility and utility of home-based ABR/FFR techniques, paving the course for larger fieldwork investigations of populations that are difficult to test or recruit. We conclude this tutorial with practical tips and guidelines for recording ABRs and FFRs in the field and discuss possible clinical and research applications of this approach. © 2022 Thieme Medical Publishers, Inc.. All rights reserved.

关键词： auditory brainstem response autism spectrum disorder fieldwork frequency-following response

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Performance Monitoring and Cognitive Inhibition during a speech-in-Noise Task in Older Listeners

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Seminars in hearing 2023年第2期44卷 124-139页

作者： Ryan, David B. Eckert, Mark A. Sellers, Eric W. Schairer, Kim S. McBee, Matthew T. Ridley, Elizabeth A. Smith, Sherri L. Hearing and Balance Research Program James H. Quillen VA Medical Center Mountain Home TN United States Department of Psychology East Tennessee State University Johnson City TN United States Department of Head and Neck Surgery and Communication Sciences Duke University School of Medicine Durham NC United States Department of Otolaryngology - Head and Neck Surgery Hearing Research Program Medical University of South Carolina Charleston NC United States Department of Audiology and Speech Language Pathology East Tennessee State University Johnson City TN United States Center for the Study of Aging and Human Development Duke University Durham NC United States Department of Population Health Sciences Duke University School of Medicine Durham NC United States Audiology and Speech Pathology Service Durham Veterans Affairs Healthcare System Durham NC United States

The goal of this study was to examine the effect of hearing loss on theta and alpha electroencephalography (EEG) frequency power measures of performance monitoring and cognitive inhibition, respectively, during a speech-in-noise task. It was hypothesized that hearing loss would be associated with an increase in the peak power of theta and alpha frequencies toward easier conditions compared to normal hearing adults. The shift would reflect how hearing loss modulates the recruitment of listening effort to easier listening conditions. Nine older adults with normal hearing (ONH) and 10 older adults with hearing loss (OHL) participated in this study. EEG data were collected from all participants while they completed the words-in-noise task. It hypothesized that hearing loss would also have an effect on theta and alpha power. The ONH group showed an inverted U -shape effect of signal-to-noise ratio (SNR), but there were limited effects of SNR on theta or alpha power in the OHL group. The results of the ONH group support the growing body of literature showing effects of listening conditions on alpha and theta power. The null results of listening condition in the OHL group add to a smaller body of literature, suggesting that listening effort research conditions should have near ceiling performance. © 2023 Thieme Medical Publishers, Inc.. All rights reserved.

关键词： alpha power EEG effortful listening theta power word recognition

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Comparison of Steady-State Visual and Somatosensory Evoked Potentials for Brain-Computer Interface Control

Comparison of Steady-State Visual and Somatosensory Evoked P...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Dante J. Smith Lenny A. Varghese Cara E. Stepp Frank H. Guenther Graduate Program for Neuroscience Center for Computational Neuroscience and Neural Technology Boston University Departments of Speech Language and Hearing Sciences and Biomedical Engineering Boston University

ISBN: (纸本)9781424479276

Many proposed EEG-based brain-computer interfaces (BCIs) make use of visual stimuli to elicit steady-state visual evoked potentials (SSVEP), the frequency of which can be mapped to a computer input. However, such a control scheme can be ineffective if a user has no motor control over their eyes and cannot direct their gaze towards a flashing stimulus to generate such a signal. Tactile-based methods, such as somatosensory steady-state evoked potentials (SSSEP), are a potentially attractive alternative in these scenarios. Here, we compare the neural signals elicited by SSSEP to those elicited by SSVEP in naive BCI users towards evaluating the feasibility of SSSEP-based control of an EEG BCI.

关键词： Visualization Electroencephalography Frequency modulation Signal to noise ratio Steady-state Vibrations Electrodes

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