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Journal articles on the topic 'Personalised speech therapy'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Mirela, Danubianu, and Tobolcea Iolanda. "BRAIN Journal - Modern Tools in Patient-Centred Speech Therapy for Romanian Language." BRAIN - Broad Research in Artificial Intelligence and Neuroscience 7, no. 1 (2016): 61–73. https://doi.org/10.5281/zenodo.1044237.

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ABSTRACT The most common way to communicate with those around us is speech. Suffering from a speech disorder can have negative social effects: from leaving the individuals with low confidence and moral to problems with social interaction and the ability to live independently like adults. The speech therapy intervention is a complex process having particular objectives such as: discovery and identification of speech disorder and directing the therapy to correction, recovery, compensation, adaptation and social integration of patients. Computer-based Speech Therapy systems are a real help for th

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Mirela, Danubianu, and Tobolcea Iolanda. "Figure 1. Key issues in speech therapy-Modern Tools in Patient-Centred Speech Therapy for Romanian Language." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 7, no. 1 (2016): 50–60. https://doi.org/10.5281/zenodo.1171329.

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Complex examination provides data regarding social, cognitive and affective parameters, and points out potential general development problems, and articulation or pronunciation problems. Considering the complexity of the possible disorders involved, there is a need for varied therapeutic methods, ranging from synthesis and analysis, to the global therapeutic specific methods and techniques. As a result, in order for the therapist to be able to choose the best technique for a specific case, (s)he needs to have a very good knowledge of all these methods. Irrespective of the methods used, the the

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Yang, Yulong, and Xing Li. "A study on the Application of Virtual Reality Technology in Children's Rehabilitation Therapy." Modern Management Science & Engineering 6, no. 2 (2024): p186. http://dx.doi.org/10.22158/mmse.v6n2p186.

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This article discusses the value of virtual reality (VR) technology in paediatric rehabilitation therapy, which can create immersive, interactive and imaginative virtual environments and provide children with safe and interesting therapeutic modalities to effectively improve their cognitive, motor, speech and emotional problems. The article analyses the application of VR technology in different scenarios, such as attention training, motor training, verbal expression training and emotion recognition training, and points out that the advantages of VR technology are to increase the interest of tr

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BOTEZAT, Lucia. "Rolul implicării parentale în procesul de intervenție logopedică." Revista Română de Terapia Tulburărilor de Limbaj şi Comunicare 7, no. 1 (2021): 57–64. http://dx.doi.org/10.26744/rrttlc.2021.7.1.07.

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This research aims to extend and adapt the therapy techniques, specific to the speak and language disorders domain, for their use in the child’s family environment. The main subjects of the research are the parents of the children diagnosed with speaking problems. By encouraging the parent’s active participation within the logopedic therapy, it is intended to teach them, so that they could continue the therapy in the child’s every day life. Moreover, the therapeutic collaboration between the speech therapist, the child and the parents allow to valorise the observations made by the parents rela

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Huang, Jianting, Jianxun Ren, Wuxiang Xie, Ruiqi Pan, Na Xu, and Hesheng Liu. "Personalised functional imaging-guided multitarget continuous theta burst stimulation for post-stroke aphasia: study protocol for a randomised controlled trial." BMJ Open 14, no. 5 (2024): e081847. http://dx.doi.org/10.1136/bmjopen-2023-081847.

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IntroductionContinuous theta burst stimulation (cTBS), a form of repetitive transcranial magnetic stimulation (rTMS), targeting the language network in the right hemisphere of post-stroke aphasia (PSA) patients shows promising results in clinical trials. However, existing PSA studies have focused on single-target rTMS, leaving unexplored the potential benefits of multitarget brain stimulation. Consequently, there is a need for a randomised clinical trial aimed to evaluate the efficacy and safety of cTBS targeting on multiple critical nodes in the language network for PSA.Methods and analysisTh

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Gavin, Sadhbh, and Annie Levis. "Young Adults’ Lived Experiences of the Transition Process from Paediatric to Adult Physiotherapy Disability Services in a college setting." APCP Journal Online Volume 15 (1) 15, no. 1 (2024): 42–52. https://doi.org/10.59481/197310.

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ABSTRACT The transition process from paediatric to adult healthcare is recognised in the UK and internationally as a period of significance in a young a young person’s life. The objectives of this study were to identify the young person’s experiences of physiotherapy within: i. paediatric services, ii. adult services, and iii. the transition between the two services. Semi-structured interviews with 7 young adults (19-23 years, diagnosed with complex and cognitive disabilities), who had access to on-site physiotherapy, occupational therapy and speech and language therapy, were completed at a th

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Vikas S. Kulkarni, Et al. "Advancements in Otology: Hearing Restoration and Cochlear Implant Innovations." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 8 (2023): 431–37. http://dx.doi.org/10.17762/ijritcc.v11i8.9431.

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Otology has made significant strides in recent years, most notably in the development of cochlear implants and the restoration of hearing. This thorough analysis looks at the most recent advancements in cochlear implant technology, treatment modalities, regenerative medicine, auditory rehabilitation techniques, and future prospects in otology. A variety of therapies are included in the field of audiology rehabilitation, such as digital signal processing in sophisticated hearing aids, assistive listening devices, and transformational cochlear implants. Cochlear implant innovations include impro

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Anugwom, Gibson, Nkechinyere Mary Harry, Afolarin Ishola, Obianuju Nwauwa, Akinyemi Akinwumiju, and Olaniyi David Ogundeji. "Transcranial Magnetic Stimulation for the Rehabilitation of Broca's Aphasia: A Review of Current Protocols and Clinical Outcomes." Journal of Advances in Medicine and Medical Research 37, no. 7 (2025): 139–46. https://doi.org/10.9734/jammr/2025/v37i75889.

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Stroke constitutes a leading global cause of long-term disability, leaving a significant percentage of survivors with persistent neurological deficits that compromise their independence and quality of life. Post-stroke Broca's aphasia represents a significant source of chronic disability, with many individuals reaching a plateau in recovery despite conventional speech and language therapy. Non-invasive brain stimulation, particularly repetitive Transcranial Magnetic Stimulation (rTMS), has emerged as a promising adjunctive therapy to enhance neuroplasticity and improve language outcomes. The o

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Rehman, Ikram Ur, Drishty Sobnath, Moustafa M. Nasralla, et al. "Features of Mobile Apps for People with Autism in a Post COVID-19 Scenario: Current Status and Recommendations for Apps Using AI." Diagnostics 11, no. 10 (2021): 1923. http://dx.doi.org/10.3390/diagnostics11101923.

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The new ‘normal’ defined during the COVID-19 pandemic has forced us to re-assess how people with special needs thrive in these unprecedented conditions, such as those with Autism Spectrum Disorder (ASD). These changing/challenging conditions have instigated us to revisit the usage of telehealth services to improve the quality of life for people with ASD. This study aims to identify mobile applications that suit the needs of such individuals. This work focuses on identifying features of a number of highly-rated mobile applications (apps) that are designed to assist people with ASD, specifically

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Evi Chamalah, Aida Azizah, Yosi Wulandari, and Oktarina Puspita Wardani. "Artificial intelligence media-assisted storytelling therapy as a solution for handling speech delay in early childhood." BAHASTRA 45, no. 1 (2025): 166–74. https://doi.org/10.26555/bs.v45i1.1245.

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This study investigates the effectiveness of Gemini AI-assisted storytelling therapy as an innovative approach to addressing speech delays in early childhood. Through qualitative methodology incorporating case studies, literature review, and action research with children aged 6-8 years, participants engaged in therapeutic storytelling sessions facilitated by Gemini AI, which generated personalized narratives based on individual abilities while providing real-time analysis of verbal responses. The AI system's adaptive algorithms continuously refined story content to match each child's developme

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Danubianu, Mirela, Stefan Gheorghe Pentiuc, Ovidiu Andrei Schipor, and Iolanda Tobolcea. "Advanced Information Technology - Support of Improved Personalized Therapy of Speech Disorders." International Journal of Computers Communications & Control 5, no. 5 (2010): 684. http://dx.doi.org/10.15837/ijccc.2010.5.2224.

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One of the key challenges of the Sustainable Development Strategy adopted by the European Council in 2006 is related to public health whose general objective envisages a good level of public health. One of the specific targets includes better treatments of diseases. It is true that there are affections which by their nature do not endanger the life of a person, however they may have a negative impact on her/his life standard. Various language or speech disorders are part of this category, but if they are discovered and treated in due time, they can be often corrected. The difficulty for resear

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Andreeva, S. V. "Speech Therapy Work with Elementary-School Children with Autism Spectrum Disorders and Intellectual Disabilities." Autism and Developmental Disorders 18, no. 1 (2020): 76–84. http://dx.doi.org/10.17759/autdd.2020180108.

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Asynchronous neuropsychic development of children with autism spectrum disorders (ASD) involves not only a personalized approach, which takes into account behavioral characteristics of children during their education and correction, but also the development of new habilitation programs. The structural components of speech therapy work with children with ASD and intellectual disabilities presented. The most important motivational and incentive stage of work with children with behavioral features, which includes the formation of special educational environment, described in detail. As part of a

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Kristinsson, Sigfus, Dirk B. den Ouden, Chris Rorden, Roger Newman-Norlund, Jean Neils-Strunjas, and Julius Fridriksson. "Predictors of Therapy Response in Chronic Aphasia: Building a Foundation for Personalized Aphasia Therapy." Journal of Stroke 24, no. 2 (2022): 189–206. http://dx.doi.org/10.5853/jos.2022.01102.

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Chronic aphasia, a devastating impairment of language, affects up to a third of stroke survivors. Speech and language therapy has consistently been shown to improve language function in prior clinical trials, but few clinicially applicable predictors of individual therapy response have been identified to date. Consequently, clinicians struggle substantially with prognostication in the clinical management of aphasia. A rising prevalence of aphasia, in particular in younger populations, has emphasized the increasing demand for a personalized approach to aphasia therapy, that is, therapy aimed at

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Lakshminarayanan, Ritika, Ayesha Shaik, and Ananthakrishnan Balasundaram. "Automated speech therapy through personalized pronunciation correction using reinforcement learning and large language models." Results in Engineering 25 (March 2025): 103943. https://doi.org/10.1016/j.rineng.2025.103943.

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Eichler, Theda, Wiebke Rötz, Christoph Kayser, et al. "Algorithm-Based Hearing and Speech Therapy Rehabilitation after Cochlear Implantation." Brain Sciences 12, no. 5 (2022): 580. http://dx.doi.org/10.3390/brainsci12050580.

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Introduction: Due to the changes in the indication range for cochlear implants and the demographic development towards an aging society, more and more people are in receipt of cochlear implants. An implantation requires a close-meshed audiological and logopedic aftercare. Hearing therapy rehabilitation currently requires great personnel effort and is time consuming. Hearing and speech therapy rehabilitation can be supported by digital hearing training programs. However, the apps currently on the market are to a limited degree personalized and structured. Increasing digitalization makes it poss

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Federico, Sara, Luisa Cacciante, Roberto De Icco, et al. "Telerehabilitation for Stroke: A Personalized Multi-Domain Approach in a Pilot Study." Journal of Personalized Medicine 13, no. 12 (2023): 1692. http://dx.doi.org/10.3390/jpm13121692.

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Stroke, a leading cause of long-term disability worldwide, manifests as motor, speech language, and cognitive impairments, necessitating customized rehabilitation strategies. In this context, telerehabilitation (TR) strategies have emerged as promising solutions. In a multi-center longitudinal pilot study, we explored the effects of a multi-domain TR program, comprising physiotherapy, speech therapy, and neuropsychological treatments. In total, 84 stroke survivors (74 analyzed) received 20 tailored sessions per domain, addressing individual impairments and customized to their specific needs. P

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Anil Kumar. "Neuro Symbolic AI in personalized mental health therapy: Bridging cognitive science and computational psychiatry." World Journal of Advanced Research and Reviews 19, no. 2 (2023): 1663–79. https://doi.org/10.30574/wjarr.2023.19.2.1516.

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Personalized mental health therapy has gained increasing attention as advancements in artificial intelligence (AI) enable tailored treatment strategies based on individual cognitive and emotional profiles. Neuro-symbolic AI, a hybrid approach combining symbolic reasoning and neural networks, offers a promising solution for bridging cognitive science and computational psychiatry. Unlike conventional AI models that rely solely on deep learning, neuro-symbolic AI integrates human-interpretable knowledge representations with data-driven learning, enhancing the adaptability and explainability of AI

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Kumar, Lalit, Meenakshi Malhotra, Ankit Sharma, Ajeet Pal Singh, and Amar Pal Singh. "A Holistic Approach to Parkinson's Disease: Integrating Advances in Pathophysiology, Diagnosis, and Therapy." Journal of Drug Delivery and Therapeutics 14, no. 5 (2024): 141–47. http://dx.doi.org/10.22270/jddt.v14i5.6558.

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Background: Parkinson's disease (PD) is a prevalent neurodegenerative disorder affecting millions worldwide, with an increasing burden projected in the coming years. It involves complex neurological decline primarily affecting the Substantia nigra and Locus coeruleus, leading to motor and non-motor symptoms. Objective: This study aims to provide a comprehensive overview of Parkinson's disease, including its epidemiology, pathophysiology, diagnosis, and available therapies, encompassing both traditional pharmaceutical treatments and emerging technological advancements. Methods: A thorough revie

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Fabbri, Margherita, Miguel Coelho, Michela Garon, Roberta Biundo, Tiago A. Mestre, and Angelo Antonini. "Personalized Care in Late-Stage Parkinson’s Disease: Challenges and Opportunities." Journal of Personalized Medicine 12, no. 5 (2022): 813. http://dx.doi.org/10.3390/jpm12050813.

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Late-stage Parkinson’s disease (LSPD) patients are highly dependent on activities of daily living and require significant medical needs. In LSPD, there is a significant caregiver burden and greater health economic impact compared to earlier PD stages. The clinical presentation in LSPD is dominated by motor and non-motor symptoms (NMS) that most of the time have a sub-optimal to no response to dopaminergic treatment, especially when dementia is present. Non-pharmacological interventions, including physiotherapy, cognitive stimulation, speech, occupational therapy, and a specialized PD nurse, as

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Shivani, Monika Gupta та Satinder Bal Gupta. "СИСТЕМНИЙ АНАЛІЗ ОСВІТНІХ ІНСТРУМЕНТІВ НА ОСНОВІ ШТУЧНОГО ІНТЕЛЕКТУ ДЛЯ ЛЮДЕЙ З ІНВАЛІДНІСТЮ: ДОСВІД ІНДІЇ". Information Technologies and Learning Tools 100, № 2 (2024): 199–216. http://dx.doi.org/10.33407/itlt.v100i2.5501.

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Artificial Intelligence (AI) plays a multifaceted role in educating impaired people and has significantly enhanced the learning experience of disabled students. AI is emerging as an influential tool that enhances accessibility, personalizes the learning process, and promotes inclusivity in educating students with disabilities. For visually disabled students, AI-powered braille devices help the children learn and rehearse braille independently. AI can be incorporated into mobile applications and learning platforms invented to help dyslexic students in India. These apps provide many features to

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Zhang, Zihan. "Research on the application of speech recognition and applied psychology in Human-Computer Intelligent interaction." Advances in Engineering Innovation 16, no. 7 (2025): None. https://doi.org/10.54254/2977-3903/2025.25079.

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Text and speech processing technologies encounter bottlenecks in understanding complex emotions within Human-Computer Interaction (HCI), with significant limitations particularly in the semantic parsing of intonation and tone. This paper employs a literature review approach to systematically synthesize core advancements in applied psychology and speech recognition technology within HCI, focusing on the intersection of emotion recognition technology and psychological intervention scenarios. The study indicates that the deep integration of these fields can significantly enhance intervention prec

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Oksana, Voitovych, Kozliuk Olha, Kosarieva Oksana, Marchuk Galyna, and Stepanova Olga. "Humanistic approach towards education of preschool children with developmental speech and language disorders." Revista Tempos e Espaços em Educação 13, no. 32 (2020): 1–15. http://dx.doi.org/10.20952/revtee.v13i32.14958.

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Changing approaches towards education of preschool children with developmental speech and language disorders occurs due to systemic pressure from government policy, which includes the development of inclusive education, the promotion of multidisciplinary cooperation in the development of policies and educational practices. Differentiation, personalization and integration of children with special educational needs are trends that indicate the humanization of education. Based on the analysis of scientific publications on the issues of therapy (treatment) and education of preschool children with

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Kavitha Soppari, Krupa Vainala, Ajay Guniganti, and Deekshitha Ratna. "A study on AI-powered chatbot for mental health support." World Journal of Advanced Research and Reviews 26, no. 3 (2025): 2115–20. https://doi.org/10.30574/wjarr.2025.26.3.2350.

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Mental health issues such as stress, anxiety, and depression have increasingly impacted individuals of all age groups. Despite the growing awareness, many people hesitate to seek therapy due to social stigma, lack of access, or affordability. To address these challenges, this study presents the development of an AI-powered mental health chatbot that provides 24/7 personalized emotional support using transformer-based NLP. The chatbot was implemented using Python, Flask, and the microsoft/Godel-v1_1-large-seq2seq model, and supports both speech and text interaction. It stores user moods and mes

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Li, Shelly-Anne, Lin Bao, and Michael Chrostowski. "Investigating the Effects of a Personalized, Spectrally Altered Music-Based Sound Therapy on Treating Tinnitus: A Blinded, Randomized Controlled Trial." Audiology and Neurotology 21, no. 5 (2016): 296–304. http://dx.doi.org/10.1159/000450745.

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Objective: This blinded, randomized controlled trial assessed the effectiveness of a personalized, spectrally altered music-based sound therapy over 12 months of use. Method: Two groups of participants (n = 50) were randomized to receive either altered or unaltered classical music. The treatment group received classical music that had been modified based on spectral alterations specific to their tinnitus characteristics. Tinnitus and psychological functioning were assessed at baseline and 3, 6, and 12 months after initial testing using self-reports. Participants, investigators and research ass

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Jelassi, Mariem, Khouloud Matteli, Houssem Ben Khalfallah, and Jacques Demongeot. "Enhancing Personalized Mental Health Support Through Artificial Intelligence: Advances in Speech and Text Analysis Within Online Therapy Platforms." Information 15, no. 12 (2024): 813. https://doi.org/10.3390/info15120813.

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Automatic speech recognition (ASR) and natural language processing (NLP) play key roles in advancing human–technology interactions, particularly in healthcare communications. This study aims to enhance French-language online mental health platforms through the adaptation of the QuartzNet 15 × 5 ASR model, selected for its robust performance across a variety of French accents as demonstrated on the Mozilla Common Voice dataset. The adaptation process involved tailoring the ASR model to accommodate various French dialects and idiomatic expressions, and integrating it with an NLP system to refine

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Liu, Jie. "Developing a strategy to overcome listening anxiety during exams among Chinese students of Russian." Philology. Theory & Practice 18, no. 5 (2025): 2122–30. https://doi.org/10.30853/phil20250299.

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The aim of the study is to identify the causes of anxiety experienced by Chinese students of Russian during listening comprehension tests at the fourth level Russian proficiency exam (ТРЯ-4) and to develop a strategy to overcome it. The article addresses the issue of listening anxiety at both theoretical and empirical levels, analyzing cognitive processes of perception and information processing based on the transformation of V. Levelt’s three-stage speech production model. The scientific novelty of the research lies in the development of a hierarchical model for classifying listening anxiety

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Tukhtanboev, Ibrokhimjon. "NEUROREHABILITATION APPROACHES IN CHILDREN: AN OVERVIEW." Multidisciplinary Journal of Science and Technology 5, no. 1 (2025): 48–53. https://doi.org/10.5281/zenodo.14629814.

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Neurorehabilitation is a multidisciplinary approach aimed at restoring or compensating for neurological function in individuals with brain injuries or disorders. In pediatric populations, neurorehabilitation is essential due to the unique characteristics of brain development and plasticity. This article explores the various neurorehabilitation approaches in children, emphasizing the importance of early intervention, the role of neuroplasticity, and the utilization of both traditional and innovative therapeutic strategies. We review the evidence for physical, occupational, and speech therapy, a

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Balatskaya, Lidiya, Yevgeniy Choynzonov, Yelena Krasavina, Yevgeniy Kostyuchenko, and Darya Novokhrestova. "VOICE RESTORATION IN PATIENTS WITH ORAL CAVITY AND OROPHARYNGEAL CANCERS USING INNOVATIVE TECHNOLOGIES." Problems in oncology 66, no. 3 (2020): 247–51. http://dx.doi.org/10.37469/0507-3758-2020-66-3-247-251.

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Currently, voice restoration in patients with oral cavity and oropharyngeal cancers after organ-preserving and reconstructive surgeries is relevant and socially significant. Materials and methods. From 2014 to 2019, a total of 110 patients with oral cavity and oropharyngeal cancers (Tj 3N0 2M0) were treated at the Department of Head and Neck Tumors of Cancer Research Institute. Organ-preserving surgeries with a flap reconstruction following hemiglossectomy or glossectomy with horizontal plane resection of the mandible, and hemiglossectomy or glossectomy with resection of the mandibular and mus

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Hsu, Wen-Shin, Guang-Tao Lin, and Wei-Hsun Wang. "Enhancing Dysarthric Voice Conversion with Fuzzy Expectation Maximization in Diffusion Models for Phoneme Prediction." Diagnostics 14, no. 23 (2024): 2693. http://dx.doi.org/10.3390/diagnostics14232693.

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Introduction: Dysarthria, a motor speech disorder caused by neurological damage, significantly hampers speech intelligibility, creating communication barriers for affected individuals. Voice conversion (VC) systems have been developed to address this, yet accurately predicting phonemes in dysarthric speech remains a challenge due to its variability. This study proposes a novel approach that integrates Fuzzy Expectation Maximization (FEM) with diffusion models for enhanced phoneme prediction, aiming to improve the quality of dysarthric voice conversion. Methods: The proposed method combines FEM

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Lekova, Anna, Paulina Tsvetkova, Anna Andreeva, et al. "A Design-Based Research Approach to Streamline the Integration of High-Tech Assistive Technologies in Speech and Language Therapy." Technologies 13, no. 7 (2025): 306. https://doi.org/10.3390/technologies13070306.

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Currently, high-tech assistive technologies (ATs), particularly Socially Assistive Robots (SARs), virtual reality (VR) and conversational AI (ConvAI), are considered very useful in supporting professionals in Speech and Language Therapy (SLT) for children with communication disorders. However, despite a positive public perception, therapists face difficulties when integrating these technologies into practice due to technical challenges and a lack of user-friendly interfaces. To address this gap, a design-based research approach has been employed to streamline the integration of SARs, VR and Co

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Liu, Yuqing, and Jie Tan. "Music and Sensory Integration." Lecture Notes in Education Psychology and Public Media 89, no. 1 (2025): 106–11. https://doi.org/10.54254/2753-7048/2025.22826.

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Currently, the increasing focus on sensory integration therapy has had a significant impact on the clinical practices of professionals in related health fields. Sensory integration involves the evaluation of the tactile, olfactory, gustatory, visual, auditory systems, as well as proprioception and the vestibular system. In recent years, music and sound have been used as therapeutic tools by occupational therapists, speech - language pathologists, and psychologists. Research has shown that music and music therapy positively affect sensory gating and sensory modulation. Additionally, music thera

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Khedkar, Shilpa. "Activity Recommendation System Based on Emotion Recognition." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49641.

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Abstract—An Emotion Recognition-Based Activity Recommendation System aims at providing users with adequate activity recommendations based on emotional states using the latest developments within the scope of emotion recognition technology. This project would apply speech emotion recognition techniques, specifically focusing on the most current state of-the-art methods in Triangular Region Cut-Mix augmentation for the enhancement of accuracy of emotion classification while preserving audio spectrogram information related to key emotions. Furthermore, it involves a dual learning framework integr

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Lee, Keun Ho, Dong Kyu Kim, Yong Ho Cha, Jeong-Yi Kwon, Dong-Hyun Kim, and Sang Jun Kim. "Personalized assistive device manufactured by 3D modelling and printing techniques." Disability and Rehabilitation: Assistive Technology 14, no. 5 (2018): 526–31. http://dx.doi.org/10.1080/17483107.2018.1494217.

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Searchfield, Grant D. "A Client Oriented Scale of Improvement in Tinnitus for Therapy Goal Planning and Assessing Outcomes." Journal of the American Academy of Audiology 30, no. 04 (2019): 327–37. http://dx.doi.org/10.3766/jaaa.17119.

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AbstractThere is a need to develop methods to help clinicians work with clients to select and personalize tinnitus therapies. The use of validated measures to determine treatment success is also essential for research and clinical practice. A goal planning method widely used in audiologic rehabilitation is the client oriented scale of improvement (COSI). A modified version of the COSI has been used to identify tinnitus treatment goals and outcomes (client oriented scale of improvement in tinnitus [COSIT]).The aims of this study were to identify treatment goals in a clinic sample and ascertain

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Arif, Aliha, Muhammad Azzam Khan, Muhammad Sikander Ghayas Khan, et al. "Efficacy of Script Training on Broca’s Aphasia Patients." Journal of Health and Rehabilitation Research 3, no. 2 (2023): 1240–44. http://dx.doi.org/10.61919/jhrr.v3i2.78.

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Background: Broca’s Aphasia is a language disorder characterized by difficulties in speech production and fluency, significantly affecting communication. Script training, a language rehabilitation technique, has shown promise in treating this condition. However, its efficacy in a controlled clinical setting had yet to be fully explored. Objective: The objective of this study was to assess the effectiveness of script training in improving the expressive language abilities of individuals with Broca’s Aphasia. Methods: This case report study was conducted over a period of six months at the Univer

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Lee, Ji-Yeoun, Ji-Hye Park, Ji-Na Lee, and Ah-Ra Jung. "Investigation of the Clinical Effectiveness and Prognostic Factors of Voice Therapy in Voice Disorders: A Pilot Study." Applied Sciences 13, no. 20 (2023): 11523. http://dx.doi.org/10.3390/app132011523.

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Examining the relationship between the prognostic factors and the effectiveness of voice therapy is a crucial step in developing personalized treatment strategies for individuals with voice disorders. This study recommends using the multilayer perceptron model (MLP) to comprehensively analyze the prognostic factors, with various parameters, including personal habits and acoustic parameters, that can influence the effectiveness of before-and-after voice therapy in individuals with speech disorders. Various methods, including the assessment of personal characteristics, acoustic analysis, statist

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Grace, Idewor, and Ahmed Jimoh. "Voice Tone Emotion Recognition for the Depressed: A review." Journal of Software Engineering and Simulation 10, no. 8 (2024): 22–34. http://dx.doi.org/10.35629/3795-10082234.

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This study investigates the application of voice tone emotion recognition for individuals with depression, utilizing advanced machine learning techniques. The research focuses on analyzing voice tone to detect emotional states, providing a non-invasive method to monitor and potentially diagnose depression. Audio data from participants were preprocessed through noise reduction and normalization, followed by feature extraction, including pitch, tone, and frequency. The extracted features were then analyzed using a combination of traditional machine learning and deep learning models. Our model ac

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Bettis, Robert J., Laura A. Faith, Ashlynn M. Beard, et al. "Narrative Forewarnings: A Qualitative Analysis of the Themes Preceding Disorganized Speech in Schizophrenia." Behavioral Sciences 14, no. 3 (2024): 212. http://dx.doi.org/10.3390/bs14030212.

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Disorganized speech is a critical barrier to recovery in schizophrenia, with profound negative impacts on one’s ability to engage with the world. Despite the limited efficacy of existing treatments in addressing disorganization, a qualitative analysis of what leads to disorganization in patient narratives has been lacking. This study addresses this gap through inductive thematic analysis of 30 narrative interviews with individuals with schizophrenia, matched based on whether Formal Thought Disorder (FTD) is present. Through this analysis, we identified four core themes (alienation, interperson

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Megalingam, Rajesh Kannan, Sakthiprasad Kuttankulangara Manoharan, Sreekanth Makkal Mohandas, et al. "Wearable Hand Orthotic Device for Rehabilitation: Hand Therapy with Multi-Mode Control and Real-Time Feedback." Applied Sciences 13, no. 6 (2023): 3976. http://dx.doi.org/10.3390/app13063976.

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IoT-based wearable devices are significantly contributing to personalized and pervasive modern healthcare. Traditional healthcare systems are handicapped by several factors, including shortages of physicians, nurses, healthcare devices, hospital beds, healthcare cost, etc. Conventional therapy is carried out either at a hospital or at home by certified therapists which is not affordable for many in developing nations. In this research work, we present IoT-based monitoring and an evaluation of key parameters and indicators of a wearable device used during the rehabilitation process in stroke pa

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Wang, Ling, Panpan Liu, and Xin He. "Personalized Music Therapy for Elderly Patients with Chronic Renal Failure to Improve their Quality of Life and Mental Health: A Retrospective Study." Noise and Health 26, no. 120 (2024): 8–13. http://dx.doi.org/10.4103/nah.nah_94_23.

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Background: Chronic renal failure (CRF) poses significant clinical risks. Therefore, attention should be paid to the daily nursing of such patients, and better clinical nursing programs should be provided. Methods: The data of 120 patients with CRF at Yantai Yuhuangding Hospital from March 2020 to March 2022 were retrospectively analyzed. After 8 patients were excluded, 112 patients were finally included in this study. The included patients were divided into group A (58 patients receiving clinical routine nursing) and group B (54 patients receiving clinical routine nursing and personalized mus

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Claudia Simões Pinto da Cunha Lima, Jeferson Andris Lima Lopes, Victor Mascarenhas de Andrade Souza, Sarah Leite Barros da Silva, Ingrid Winkler, and Valter de Senna. "Aphasia Rehabilitation: Decision Support Model." JOURNAL OF BIOENGINEERING, TECHNOLOGIES AND HEALTH 6, no. 3 (2023): 199–207. http://dx.doi.org/10.34178/jbth.v6i3.306.

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Aphasia impacts functional communication, daily activities, and social relationships. Aphasia is treated with traditional therapeutic methods, which involve repeating language tests and observing the progress of their responses. Technology is being used to investigate the activities of the brain. However, some of these technologies are very robust, have high costs for implementation, and require a team of specialized professionals to handle them. This paper aims to develop an aphasia screening model to support the conventional therapy used by speech-language pathologists in rehabilitation cent

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Saksham Sharma, Swarnava Sengupta, Mazain Siddique, Sanjana B Patil, Sabira Morbiwala, and Venkata Akhil Makarla. "Unlocking cognitive potential: a comprehensive review of neurocognitive interventions in Down Syndrome." InterConf, no. 43(193) (March 20, 2024): 304–24. http://dx.doi.org/10.51582/interconf.19-20.03.2024.031.

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Background: Down Syndrome (DS) poses unique challenges in cognitive functioning, characterized by deficits in language, memory, and executive functions. This review synthesizes current research across educational, behavioral, pharmacological, and physical interventions to enhance cognitive capabilities in individuals with DS. Methods: A comprehensive literature review was conducted, incorporating studies that explored diverse interventions for cognitive enhancement in DS. Educational interventions, behavioral strategies, pharmacological approaches, and physical modalities were systematically a

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JY Zheng. "Music Sentiment Analysis and its Application in Music Therapy Based on AI Technology." International Journal of Maritime Engineering 1, no. 1 (2024): 265–76. http://dx.doi.org/10.5750/ijme.v1i1.1358.

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Music therapy, enriched by the integration of AI technology, represents a cutting-edge approach to harnessing the therapeutic power of music for mental and emotional well-being. AI algorithms are employed to analyze individual preferences, emotional states, and physiological responses, enabling the creation of personalized music interventions. These interventions can range from mood-enhancing playlists to dynamically generated compositions tailored to the specific needs of the listener. This paper introduces an Optimized Sentimental n-gram Classifier (OSC) model tailored for application in the

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Cotelli, Maria, Francesca Baglio, Rosa Manenti, et al. "A Multimodal Approach for Clinical Diagnosis and Treatment of Primary Progressive Aphasia (MAINSTREAM): A Study Protocol." Brain Sciences 13, no. 7 (2023): 1060. http://dx.doi.org/10.3390/brainsci13071060.

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Primary Progressive Aphasia (PPA) is a syndrome due to different neurodegenerative disorders selectively disrupting language functions. PPA specialist care is underdeveloped. There are very few specialists (neurologists, psychiatrists, neuropsychologists, and speech therapists) and few hospital- or community-based services dedicated to the diagnosis and continuing care of people with PPA. Currently, healthcare systems struggle to provide adequate coverage of care that is too often fragmented, uncoordinated, and unresponsive to the needs of people with PPA and their families. Recently, attentio

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Mikołajewska, Emilia, and Jolanta Masiak. "Deep Learning Approaches to Natural Language Processing for Digital Twins of Patients in Psychiatry and Neurological Rehabilitation." Electronics 14, no. 10 (2025): 2024. https://doi.org/10.3390/electronics14102024.

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Deep learning (DL) approaches to natural language processing (NLP) offer powerful tools for creating digital twins (DTs) of patients in psychiatry and neurological rehabilitation by processing unstructured textual data such as clinical notes, therapy transcripts, and patient-reported outcomes. Techniques such as transformer models (e.g., BERT, GPT) enable the analysis of nuanced language patterns to assess mental health, cognitive impairment, and emotional states. These models can capture subtle linguistic features that correlate with symptoms of degenerative disorders (e.g., aMCI) and mental

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Carrión-Toro, Mayra, David Morales-Martínez, Marco Santórum, Alexis Vizuete, Verónica Maldonado-Garcés, and Patricia Acosta-Vargas. "PictoAndes: A Customizable Communication Board for Inclusive Education and Multicultural Accessibility." Sustainability 17, no. 3 (2025): 956. https://doi.org/10.3390/su17030956.

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Children with speech and language difficulties often face significant challenges in expressing their needs, emotions, and thoughts, which can lead to frustration, social isolation, and hindered participation in educational and social activities. Addressing this issue, we present a customizable communication board designed to facilitate effective and autonomous communication for these children. Unlike traditional solutions, this application offers a culturally adaptive and user-centered approach, enabling the inclusion of personalized pictograms, such as representations of familiar objects, to

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Mrs. Nirupa V, Gagguturi Afree, Pathan Ashraf Khan, Marannagari Harini, and Salladhi Jaswanth Kumar. "Automated Detection and Recommendation System for Parkinson’s Disease Using Machine Learning." International Research Journal of Innovations in Engineering and Technology 09, Special Issue ICCIS (2025): 150–54. https://doi.org/10.47001/irjiet/2025.iccis-202524.

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Abstract - Parkinson’s Disease (PD) is a chronic neurological condition that significantly affects speech and motor control. Early diagnosis plays a vital role in symptom management and slowing disease progression. This project presents an automated machine learningbased system for early detection and severity classification of Parkinson’s Disease using voice signal features. Key voice measurements such as jitter, shimmer, and harmonic-to-noise ratio are extracted from biomedical voice data to train multiple classifiers. An ensemble model combining XGBoost, K-Nearest Neighbors, Decision Tree,

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Amchislavskiy, Matviy. "A Privacy-Focused, Adaptable Chatbot for Detecting and Preventing Depression." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 4, no. 1 (2024): 52–60. https://doi.org/10.60087/jklst.v4.n1.006.

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According to the World Health Organization, approximately 280 million people have depression. However, mental health diagnostic and intervention tools remain largely inaccessible, unaffordable, and stigmatized. To address this global need, a novel, accessible, and nonintrusive diagnostic and assistive system was created through the development of two machine learning (ML) models and a web app. Psych2Go uses two ML models to nonintrusively detect depression (model 1) and emotion (model 2). Both achieve their respective goals by analyzing prosodic features in speech rather than the content. The

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Hanchett, Isabelle, Emma Bachyrycz, Iris Bursey, et al. "Complex Real-Time Human Resources Scheduling with Web User Interface Using Prioritizing Algorithms." Industrial and Systems Engineering Review 11, no. 1-2 (2023): 54–59. http://dx.doi.org/10.37266/iser.2023v11i1-2.pp54-59.

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The Institute of Child Development (ICD) at Binghamton University is uniquely complex in its staffing requirements. By offering extensive and personalized services to children with autism spectrum disorder, the ICD must ensure the correct number of properly trained staff are assigned throughout every school day to best serve each student. Since a broad range of human services professionals and paraprofessionals (e.g., psychology, special education, speech pathology, occupational therapy, etc.) all operate in one facility, each room’s accommodations must also be taken into account. Due to these

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González Marín, Esperanza María, Juliana Andrea Montoya Otálvaro, Mónica Alexandra Cadavid Buitrago, Ana Milena Gaviria Gómez, Elisabet Vilella, and Alfonso Gutiérrez-Zotes. "Trastorno límite de la personalidad (TLP), experiencias adversas tempranas y sesgos cognitivos: una revisión sistemática." Revista de Investigación e Innovación en Ciencias de la Salud 5, no. 1 (2023): press. http://dx.doi.org/10.46634/riics.174.

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Introducción: la investigación actual y los artículos rastreados sobre adversidad temprana y sesgos cognitivos en pacientes con trastorno límite de la personalidad (TLP) evidencian la relación entre estas variables y la gravedad de los síntomas clínicos de este trastorno. Objetivo: revisar sistemáticamente la evidencia de la relación entre adversidad temprana, sesgos cognitivos y agudización de los síntomas del TLP. El vacío investigativo tiene que ver con el tipo específico de adversidad temprana y su relación con el tipo específico de sesgos cognitivos y el curso del TLP de pacientes con est

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