A Technology-Assisted Language Intervention for Children Who Are Deaf or Hard of Hearing: A Randomized Clinical Trial.

BACKGROUND AND OBJECTIVES: Children who are deaf or hard of hearing (DHH) often have persistent language delays despite early identification and interventions. The technology-assisted language intervention (TALI), which incorporates augmentative and alternative communication technology into a speech-language therapy model, was designed to support language learning. The study objective was to evaluate the impact of the TALI on spoken language outcomes in DHH children. METHODS: Children aged 3 to 12 years with mild to profound bilateral hearing loss were enrolled in a single-site randomized controlled trial. Children were randomly assigned to receive the TALI or treatment as usual (TAU) (with no change in current care) and were followed for 24 weeks. Primary outcomes included spoken language measures elicited from language samples. Secondary outcomes included standardized assessments. Intention-to-treat analyses were used. RESULTS: Analyses focused on 41 children randomly assigned to TALI (n = 21) or TAU (n = 20). Among all participants, mean age was 6.3 years (SD 2.5). Over 24 weeks, children in the TALI group, compared with those in the TAU group, had significantly greater increases in the length of phrases they used to express themselves (ß = .91 vs .15, respectively; P< .0001). Similar findings were seen with conversational turn-taking and number of different words spoken. CONCLUSIONS: Providing visual supports for language concepts that are typically challenging for DHH children to acquire allowed children to process and comprehend spoken language more fully. Such strategies can mitigate persistent language delays with the goal of improving lifelong outcomes and independence across settings.

Growing up with AAC in the digital age: a longitudinal profile of communication across contexts from toddler to teen.

Smart technology (e.g., smartphones, smartwatches, tablets) and the age of information have transformed our society and changed the lives of individuals who rely on assistive technology. This study provides a detailed description of an adolescent growing up in the digital age using augmentative and alternative communication (AAC). It documents the participant's development across language, cognitive, and social domains from ages 2- to 15-years-old, and explores how changes in AAC technology and contextual factors contributed to broad-based outcomes associated with AAC use. In general, results from standardized assessments show growth or stability across domains from ages 2-15. Data from a parent interview provides a narrative description of AAC device use, AAC interventions, and school and family environments. Despite communicative challenges, the participant leveraged advances in AAC technology to develop communicative competence and creatively used his smart devices and the Internet to interact with friends both online and in person.

On the localness modeling for the self-attention based end-to-end speech synthesis.

Attention based end-to-end speech synthesis achieves better performance in both prosody and quality compared to the conventional "front-end"-"back-end" structure. But training such end-to-end framework is usually time-consuming because of the use of recurrent neural networks. To enable parallel calculation and long-range dependency modeling, a solely self-attention based framework named Transformer is proposed recently in the end-to-end family. However, it lacks position information in sequential modeling, so that the extra position representation is crucial to achieve good performance. Besides, the weighted sum form of self-attention is conducted over the whole input sequence when computing latent representation, which may disperse the attention to the whole input sequence other than focusing on the more important neighboring input states, resulting in generation errors. In this paper, we introduce two localness modeling methods to enhance the self-attention based representation for speech synthesis, which maintain the abilities of parallel computation and global-range dependency modeling in self-attention while improving the generation stability. We systematically analyze the solely self-attention based end-to-end speech synthesis framework, and unveil the importance of local context. Then we add the proposed relative-position-aware method to enhance local edges and experiment with different architectures to examine the effectiveness of localness modeling. In order to achieve query-specific window and discard the hyper-parameter of the relative-position-aware approach, we further conduct Gaussian-based bias to enhance localness. Experimental results indicate that the two proposed localness enhanced methods can both improve the performance of the self-attention model, especially when applied to the encoder part. And the query-specific window of Gaussian bias approach is more robust compared with the fixed relative edges.

Basic smartphone-aided communication and leisure for people with extensive neuro-motor impairment and absence of speech.

BACKGROUND: Individuals with extensive neuro-motor impairment and lack of speech tend to remain passive and isolated, and to rely on others for communication and leisure. While their problems are known, only limited evidence is available about intervention tools that could help them curb those problems. OBJECTIVE: This study was aimed at upgrading and assessing a smartphone-based technology package, which was recently developed to help those individuals to independently engage in basic communication and leisure. METHODS: The study included 11 non-ambulatory participants who had no speech or functional active communication. They were provided with (a) a Samsung A3 smartphone with Android 6.0 Operating System, which was fitted with WhatsApp Messenger and programmed via MacroDroid, and (b) cards fitted with radio frequency identification (RFID) tags. By bringing those cards in contact with the back of the smartphone, the participant could start a communication event (e.g., sending a message to a friend) or activate a leisure event (e.g., a song). The smartphone would automatically read to the participant any incoming messages. RESULTS: During the baseline (i.e., when a standard smartphone was available), the participants were unable to engage in communication or leisure. Once the aforementioned technology package was introduced, the participants spent between about 65 and 85% of their session time engaging in communication and leisure. CONCLUSIONS: The smartphone-based technology package seems to be a useful tool to support basic communication and leisure in individuals like those involved in this study.

La tecnología para la mejora de la autonomía y la participación en la discapacidad / Technology to improve autonomy and participation among disabled people

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Brain-computer interfaces and personhood: interdisciplinary deliberations on neural technology.

OBJECTIVE: Scientists, engineers, and healthcare professionals are currently developing a variety of new devices under the category of brain-computer interfaces (BCIs). Current and future applications are both medical/assistive (e.g. for communication) and non-medical (e.g. for gaming). This array of possibilities has been met with both enthusiasm and ethical concern in various media, with no clear resolution of these conflicting sentiments. APPROACH: To better understand how BCIs may either harm or help the user, and to investigate whether ethical guidance is required, a meeting entitled 'BCIs and Personhood: A Deliberative Workshop' was held in May 2018. MAIN RESULTS: We argue that the hopes and fears associated with BCIs can be productively understood in terms of personhood, specifically the impact of BCIs on what it means to be a person and to be recognized as such by others. SIGNIFICANCE: Our findings suggest that the development of neural technologies raises important questions about the concept of personhood and its role in society. Accordingly, we propose recommendations for BCI development and governance.

Appraising the quality of tools used to record patient-reported outcomes in users of augmentative and alternative communication (AAC): a systematic review.

PURPOSE: People who have complex communication needs (CCN), and who use augmentative and alternative communication (AAC) to help them express themselves, can be difficult to engage in decision making about their healthcare. The purpose of this review was to identify what patient-reported outcome measures (PROMs) have been employed with people who use AAC. Of the tools identified, the review aimed to establish what conceptual frameworks were used and how the reports describe completion of the PROM. METHODS: A systematic literature review was carried out. A pre-defined set of search terms was entered into five main health and education databases. Titles and abstracts were sifted for relevance. Full text papers were screened against inclusion/exclusion criteria. Data pertaining to the type and nature of the PROM used was extracted. Complementary data sources were analysed to construct a narrative synthesis of the papers identified. RESULTS: Within 15 papers that met the review criteria, 25 PROMs were used with people who rely on AAC comprising of 15 separate measures. The conceptual frameworks for 12 of these tools were reported from which 62 items, or concepts being measured, were identified. Following synthesis of these items, 9 conceptual domains and 11 sub-domains were generated. Limited information was available about who completed the PROM nor how much, if any, support they received. CONCLUSIONS: No PROM that has been developed specifically for people who use AAC was identified by this review. Of the tools that have been used with people who use AAC, the concepts measured were broad and varied. The quality of reporting concerning who completed the PROM was limited, undermining the trustworthiness of many of the studies.

Augmentative and alternative communication improves quality of life in the early stages of amyotrophic lateral sclerosis.

This study aimed to evaluate the efficacy of low-tech augmentative and alternative communication (AAC) aids in improving quality of life (QoL) and mood disorders, as well as the psychosocial impact of assistive devices, in 10 patients affected by amyotrophic lateral sclerosis (ALS) in the early stage of the disease, when speech difficulties appear. The AACtraining (AAC-T) study lasted around six months and comprised two phases of three months each: AAC-intervention (AAC-I) followed by AAC-familiarization (AAC-F). All the patients were assessed at the beginning (T0) and at the end (T1) of AAC-I, as well as at the end of AAC-F (T2). During the AAC-I phase, we applied a three-phase AAC intervention model to evaluate intelligibility of language, participation patterns, communication needs and adaptation to the AAC tools. All the patients showed a gradual and significant improvement, especially in acceptance of the AAC aids, mood and QoL. Moreover, a reduction of caregiver burden was noted. Our study has demonstrated the utility of the AAC aids also in the early stages of the disease in patients with ALS presenting with dysarthria. In our opinion, AAC-T may act as a bridge between the initial and later phases of the disease, when patients need to use high-tech aids, including an eye-tracking communication device. In conclusion, in this study we highlighted how early AAC-T in patients with ALS may be a valuable tool to demonstrate how specific strategies and low-technology aids can improve QoL of these patients and their caregivers, also decreasing stress and depression.

Augmentative and Alternative Communication (AAC) Advances: A Review of Configurations for Individuals with a Speech Disability.

High-tech augmentative and alternative communication (AAC) methods are on a constant rise; however, the interaction between the user and the assistive technology is still challenged for an optimal user experience centered around the desired activity. This review presents a range of signal sensing and acquisition methods utilized in conjunction with the existing high-tech AAC platforms for individuals with a speech disability, including imaging methods, touch-enabled systems, mechanical and electro-mechanical access, breath-activated methods, and brain-computer interfaces (BCI). The listed AAC sensing modalities are compared in terms of ease of access, affordability, complexity, portability, and typical conversational speeds. A revelation of the associated AAC signal processing, encoding, and retrieval highlights the roles of machine learning (ML) and deep learning (DL) in the development of intelligent AAC solutions. The demands and the affordability of most systems hinder the scale of usage of high-tech AAC. Further research is indeed needed for the development of intelligent AAC applications reducing the associated costs and enhancing the portability of the solutions for a real user's environment. The consolidation of natural language processing with current solutions also needs to be further explored for the amelioration of the conversational speeds. The recommendations for prospective advances in coming high-tech AAC are addressed in terms of developments to support mobile health communicative applications.

"He's worth the extra work": The employment experiences of adults with ASD who use augmentative and alternative communication (AAC) as reported by adults with ASD, family members, and employers.

BACKGROUND: Employment is a key determinant in quality of life. However, less than 50% of adults with ASD are employed. OBJECTIVE: In order to better support community-based employment for persons with ASD who use augmentative and alternative communication (AAC), there is a need to better understand those situations in which successful outcomes have been achieved. METHOD: This study utilized a multiple case design to investigate the experiences of seven individuals with ASD who use AAC and are successfully employed in the community. RESULTS: Results provide evidence that individuals with ASD who use AAC can be successfully employed, when provided with appropriate supports. Expressive and receptive communication were commonly identified as challenges, however, mobile devices provided support to communication and participation for many of the participants with ASD. CONCLUSIONS: Results from the current study provide evidence that successful employment for individuals with ASD who use AAC is possible when intervention addresses three key areas: the development of skills that are valued in the workplace, the identification and creation of good job matches, and access to needed supports.

Consideraciones para la intervención de los apoyos de la comunicación y el lenguaje en la escuela inclusiva / Considerations for the intervention on communication and language supports in the inclusive school

La evolución de la integración educativa hacia el paradigma de la inclusión representa un cambio radical en la perspectiva de análisis de la realidad de las escuelas, en cuanto a la diversidad del alumnado, y de las propuestas de intervención que se centran ahora no en los déficits y limitaciones del individuo, sino en las oportunidades y alternativas que les ofrece el contexto. La puesta en práctica del modelo inclusivo requiere la creación de equipos docentes, que incluyan al profesorado de apoyo como elemento clave para el desarrollo del proyecto. Miembros de este equipo de apoyo son los especialistas en comunicación y lenguaje, que plantean, en un modelo de educación inclusiva, una intervención no de carácter clínico ni terapéutico ni aislado, sino integral que considera el entorno natural del aula como clave para el proceso de adquisición y desarrollo de la capacidad lingüística y comunicativa de todos los alumnos. Este modelo de intervención tiene en el trabajo en equipo y la colaboración el elemento fundamental para garantizar el éxito en la implementación y desarrollo del modelo de la educación inclusiva, que plantea la necesidad de ofrecer propuestas coordinadas entre el apoyo y el tutor a partir de dimensiones y áreas curriculares comunes para trabajar la diversidad del alumnado en cuento a la comunicación y el lenguaje, que potencien y trabajen elementos válidos para todos e imprescindibles para algunos

The evolution of educational integration towards a paradigm of inclusiveness represents a radical change in the perspective of analysing school reality with regard to student diversity and intervention proposals, focused now not on individual shortcomings and limitations, but on the opportunities and alternatives offered to them in this context. Putting an inclusive model into practice requires setting up teaching teams, including support for teachers as a key element to implement the project. Members of this support team are specialists in communication and language which they suggest, in an inclusive education model, an intervention without a clinical, therapeutic or isolated nature, but rather as an integral part that takes into account the natural setting of the classroom as key for the process of acquiring and developing linguistic and communication skills amongst all students. Teamwork and collaboration are the key elements of this intervention model to ensure the inclusive education model is successfully implemented and rolled out. It includes the need to offer coordinated proposals between the support and tutor staff based on curricular dimensions and areas to work on student diversity regarding communication and language, which strengthen and work on elements that are valid for all students and which are essential for some

A comprehensive review of EEG-based brain-computer interface paradigms.

Advances in brain science and computer technology in the past decade have led to exciting developments in brain-computer interface (BCI), thereby making BCI a top research area in applied science. The renaissance of BCI opens new methods of neurorehabilitation for physically disabled people (e.g. paralyzed patients and amputees) and patients with brain injuries (e.g. stroke patients). Recent technological advances such as wireless recording, machine learning analysis, and real-time temporal resolution have increased interest in electroencephalographic (EEG) based BCI approaches. Many BCI studies have focused on decoding EEG signals associated with whole-body kinematics/kinetics, motor imagery, and various senses. Thus, there is a need to understand the various experimental paradigms used in EEG-based BCI systems. Moreover, given that there are many available options, it is essential to choose the most appropriate BCI application to properly manipulate a neuroprosthetic or neurorehabilitation device. The current review evaluates EEG-based BCI paradigms regarding their advantages and disadvantages from a variety of perspectives. For each paradigm, various EEG decoding algorithms and classification methods are evaluated. The applications of these paradigms with targeted patients are summarized. Finally, potential problems with EEG-based BCI systems are discussed, and possible solutions are proposed.

Brain-Computer Interfaces for Augmentative and Alternative Communication: A Tutorial.

Purpose: Brain-computer interfaces (BCIs) have the potential to improve communication for people who require but are unable to use traditional augmentative and alternative communication (AAC) devices. As BCIs move toward clinical practice, speech-language pathologists (SLPs) will need to consider their appropriateness for AAC intervention. Method: This tutorial provides a background on BCI approaches to provide AAC specialists foundational knowledge necessary for clinical application of BCI. Tutorial descriptions were generated based on a literature review of BCIs for restoring communication. Results: The tutorial responses directly address 4 major areas of interest for SLPs who specialize in AAC: (a) the current state of BCI with emphasis on SLP scope of practice (including the subareas: the way in which individuals access AAC with BCI, the efficacy of BCI for AAC, and the effects of fatigue), (b) populations for whom BCI is best suited, (c) the future of BCI as an addition to AAC access strategies, and (d) limitations of BCI. Conclusion: Current BCIs have been designed as access methods for AAC rather than a replacement; therefore, SLPs can use existing knowledge in AAC as a starting point for clinical application. Additional training is recommended to stay updated with rapid advances in BCI.

Ethical aspects of brain computer interfaces: a scoping review.

BACKGROUND: Brain-Computer Interface (BCI) is a set of technologies that are of increasing interest to researchers. BCI has been proposed as assistive technology for individuals who are non-communicative or paralyzed, such as those with amyotrophic lateral sclerosis or spinal cord injury. The technology has also been suggested for enhancement and entertainment uses, and there are companies currently marketing BCI devices for those purposes (e.g., gaming) as well as health-related purposes (e.g., communication). The unprecedented direct connection created by BCI between human brains and computer hardware raises various ethical, social, and legal challenges that merit further examination and discussion. METHODS: To identify and characterize the key issues associated with BCI use, we performed a scoping review of biomedical ethics literature, analyzing the ethics concerns cited across multiple disciplines, including philosophy and medicine. RESULTS: Based on this investigation, we report that BCI research and its potential translation to therapeutic intervention generate significant ethical, legal, and social concerns, notably with regards to personhood, stigma, autonomy, privacy, research ethics, safety, responsibility, and justice. Our review of the literature determined, furthermore, that while these issues have been enumerated extensively, few concrete recommendations have been expressed. CONCLUSIONS: We conclude that future research should focus on remedying a lack of practical solutions to the ethical challenges of BCI, alongside the collection of empirical data on the perspectives of the public, BCI users, and BCI researchers.

Which alternative communication methods are effective for voiceless patients in Intensive Care Units? A systematic review.

OBJECTIVE: To assess the effectiveness of Augmentative and Alternative Communication (AAC) strategies to enable people who are temporarily voiceless due to medical intervention, to communicate. METHODS: A systematic review informed by a protocol published on an international register. Ten databases were searched from January 2004 to January 2017. Included studies assessed the effect of using AAC strategies on patient related outcomes and barriers to their use. All included studies were quality appraised. Due to the heterogeneity of interventions and outcome measures findings were narratively reviewed. RESULTS: Twelve studies met the inclusion criteria and were included in the review reporting outcomes from 1981 patient and 454 health professional participants. The quality of included studies were moderate to weak. AAC communication strategies increased the number of communication interactions, improved patient satisfaction with communication and reduced communication difficulties. Barriers to usage were device characteristics, the clinical condition of the patient, lack of timeliness in communication and staff constraints. CONCLUSIONS: There is preliminary, but inconsistent evidence that AAC strategies are effective in improving patient satisfaction with communication and reducing difficulties in communication. A lack of comparable studies precluded the identification of the most effective AAC strategy.

Native voice, self-concept and the moral case for personalized voice technology.

Purpose (1) To explore the role of native voice and effects of voice loss on self-concept and identity, and survey the state of assistive voice technology; (2) to establish the moral case for developing personalized voice technology. Methods This narrative review examines published literature on the human significance of voice, the impact of voice loss on self-concept and identity, and the strengths and limitations of current voice technology. Based on the impact of voice loss on self and identity, and voice technology limitations, the moral case for personalized voice technology is developed. Results Given the richness of information conveyed by voice, loss of voice constrains expression of the self, but the full impact is poorly understood. Augmentative and alternative communication (AAC) devices facilitate communication but, despite advances in this field, voice output cannot yet express the unique nuances of individual voice. The ethical principles of autonomy, beneficence and equality of opportunity establish the moral responsibility to invest in accessible, cost-effective, personalized voice technology. Conclusions Although further research is needed to elucidate the full effects of voice loss on self-concept, identity and social functioning, current understanding of the profoundly negative impact of voice loss establishes the moral case for developing personalized voice technology. Implications for Rehabilitation Rehabilitation of voice-disordered patients should facilitate self-expression, interpersonal connectedness and social/occupational participation. Proactive questioning about the psychological and social experiences of patients with voice loss is a valuable entry point for rehabilitation planning. Personalized voice technology would enhance sense of self, communicative participation and autonomy and promote shared healthcare decision-making. Further research is needed to identify the best strategies to preserve and strengthen identity and sense of self.

Genetic algorithm to estimate the input parameters of Klatt and HLSyn formant-based speech synthesizers.

Voice imitation basically consists in estimating a synthesizer's input parameters to mimic a target speech signal. This is a difficult inverse problem because the mapping is time-varying, non-linear and from many to one. It typically requires considerable amount of time to be done manually. This work presents the evolution of a system based on a genetic algorithm (GA) to automatically estimate the input parameters of the Klatt and HLSyn formant synthesizers using an analysis-by-synthesis process. Results are presented for natural (human-generated) speech for three male speakers. The results obtained with the GA-based system outperform those obtained with the baseline Winsnoori with respect to four objective figures of merit and a subjective test. The GA with Klatt synthesizer generated similar voices to the target and the subjective tests indicate an improvement in the quality of the synthetic voices when compared to the ones produced by the baseline.

Brain-computer interfaces for communication and rehabilitation.

Brain-computer interfaces (BCIs) use brain activity to control external devices, thereby enabling severely disabled patients to interact with the environment. A variety of invasive and noninvasive techniques for controlling BCIs have been explored, most notably EEG, and more recently, near-infrared spectroscopy. Assistive BCIs are designed to enable paralyzed patients to communicate or control external robotic devices, such as prosthetics; rehabilitative BCIs are designed to facilitate recovery of neural function. In this Review, we provide an overview of the development of BCIs and the current technology available before discussing experimental and clinical studies of BCIs. We first consider the use of BCIs for communication in patients who are paralyzed, particularly those with locked-in syndrome or complete locked-in syndrome as a result of amyotrophic lateral sclerosis. We then discuss the use of BCIs for motor rehabilitation after severe stroke and spinal cord injury. We also describe the possible neurophysiological and learning mechanisms that underlie the clinical efficacy of BCIs.

Brain-computer interface devices for patients with paralysis and amputation: a meeting report.

OBJECTIVE: The Food and Drug Administration's (FDA) Center for Devices and Radiological Health (CDRH) believes it is important to help stakeholders (e.g., manufacturers, health-care professionals, patients, patient advocates, academia, and other government agencies) navigate the regulatory landscape for medical devices. For innovative devices involving brain-computer interfaces, this is particularly important. APPROACH: Towards this goal, on 21 November, 2014, CDRH held an open public workshop on its White Oak, MD campus with the aim of fostering an open discussion on the scientific and clinical considerations associated with the development of brain-computer interface (BCI) devices, defined for the purposes of this workshop as neuroprostheses that interface with the central or peripheral nervous system to restore lost motor or sensory capabilities. MAIN RESULTS: This paper summarizes the presentations and discussions from that workshop. SIGNIFICANCE: CDRH plans to use this information to develop regulatory considerations that will promote innovation while maintaining appropriate patient protections. FDA plans to build on advances in regulatory science and input provided in this workshop to develop guidance that provides recommendations for premarket submissions for BCI devices. These proceedings will be a resource for the BCI community during the development of medical devices for consumers.