Leader ethical voice and subordinate job performance: the chain mediating role of subordinate identification with leader and leader-member exchange.

Introduction: Ethical voice is a valuable ethical behavior that enables organizations to promptly recognize and rectify unethical issues and practices, thus preventing severe dilemmas and crises. Despite its importance, the extant literature has yet to fully explore the impact of a leader's ethical voice on subordinate outcomes. This study bridges this gap by integrating social identity theory and social exchange theory to scrutinize the process by which a leader's ethical voice affects subordinate task performance. Methods: We employ a serial mediation model to explore the mechanisms by which a leader's ethical voice enhances subordinates' task performance. Our theoretical framework is empirically validated using a dataset that includes 449 subordinate-leader pairings from Chinese enterprises. Results: The survey results demonstrate that a leader's ethical voice has a significant positive impact on subordinate task performance. Subordinate identification with leader and leader-member exchange not only individually mediate the effects of a leader's ethical voice on subordinate task behavior but also jointly serve as a chain-mediated mechanism in the influence of a leader's ethical voice on subordinate task behavior. Discussion: These findings illuminate the substantial effects that ethical leadership behaviors exert on employee performance and offer fresh perspectives on the intricate dynamics that govern this influence.

Diagnostic Accuracy of DSI and AVQI v.02.03 in Discriminating across the Perceptual Levels of Dysphonia in Kannada Speaking Population.

The present study investigated and compared the diagnostic accuracy of Dysphonia Severity Index (DSI) and Acoustic Voice Quality Index (AVQI) in Indian adults in the age range of 18-40years across different levels of dysphonia severity. Normophonic individuals (n=163) and individuals with dysphonia (n=134) were selected using purposive sampling in the age range of 18-40years. For DSI, Computerized Speech Lab 4500 and for AVQI, Praat 6.1.03 was used for recording. The results of receiver operating characteristics (ROC) analysis for DSI have revealed that DSI can discriminate the normophonic versus mild, mild versus moderate, and moderate versus severe dysphonic with cut-off values of 1.36, -1.83, and -4.07, respectively. The sensitivity and specificity reported for mild versus moderate and moderate versus severe are slightly lower for obtained threshold points. For AVQI v.02.03, ROC analysis revealed that high sensitivity and specificity cut-off points for normophonic versus mild, mild versus moderate, and moderate versus severe dysphonic are 2.50, 3.86, and 6.21, respectively. AVQI is a more effective technique than DSI for distinguishing between dysphonia severities levels, particularly when it comes to mild versus moderate and moderate versus severe, according to comparisons of AROC curves made using the DeLang method.

The Effects of Telerehabilitation in Patients with Voice Disorders: A Systematic Review and Meta-Analysis.

OBJECTIVES: To compare the effects of telerehabilitation (TR) and face-to-face rehabilitation (FTF) methods on the outcomes of adults with voice disorders and to analyze the effectiveness of TR. METHODS: Following Boolean Logic, a search strategy was devised, combining subject terms and keywords based on the interventions and populations outlined in the inclusion criteria. We searched PubMed, Cochrane Library, Embase, Web of Science, Scopus, CNKI, Wanfang, CQVIP databases, and manually screened academic conference papers, journal articles, and gray literature to identify eligible randomized controlled trials (RCTs) on remote voice therapy. Two researchers assessed the risk of bias in the included studies using the risk of bias assessment tool for RCTs outlined in the Cochrane Handbook for Systematic Reviews of Interventions version 5.1.0. RESULTS: Five trials with a total of 233 patients with voice disorders were included in the study after screening. The results revealed a significant difference in Jitter change values (mean difference [MD]=-0.12, 95%CI [-0.23,-0.01], P = 0.04) between TR and FTF, maximum phonation time (MD=0.76, 95%CI [-0.60,2.13], P = 0.27), Shimmer (MD=-0.04, 95%CI [-0.11,0.03], P = 0.27), voice handicap index (MD=0.87, 95%CI [-1.77,3.50], P = 0.52), and GRBAS(G) (MD=-0.00, 95%CI [-0.01,0.01], P = 0.99) had no significant difference. CONCLUSION: TR demonstrates comparable efficacy to FTF in voice treatment and is associated with higher levels of patient satisfaction, making it a viable and effective therapeutic modality. However, given the limited sample size analyzed in this study, further validation of this conclusion necessitates additional RCTs with larger sample sizes. Furthermore, researchers should remain cognizant of the constraints associated with TR and consistently refine treatment protocols to enhance the efficacy of voice therapy.

Adaptation and Validation of the Persian Version of the Voice Handicap Index-10 (VHI-10).

OBJECTIVES: Voice disorders can profoundly impact health, quality of life, job performance, and social interactions. Traditional evaluations have expanded to include quality-of-life assessments, emphasizing self-reported outcomes. The Voice Handicap Index (VHI) stands out among relevant questionnaires, with the VHI-10 being a concise derivative. This study was conducted to translate and validate the Voice Handicap Index-10 (VHI-10) questionnaire for Persian speakers, enhancing clinical assessments of voice disorders and quality of life. METHODS: This cross-sectional study, conducted in Iran, involved (1) translating the VHI-10 into Persian, (2) confirming face and content validity using Content Validity Ratio (CVR), and Content Validity Index (CVI), and (3) evaluating its reliability through a survey. A panel of experts confirmed the validity, and reliability of the study, which was assessed using Cronbach's alpha, Spearman-Brown, and Guttman coefficients. The survey involved 225 participants, including 150 healthy people and 75 patients with voice disorders, who were selected using a convenience sampling method. RESULTS: All question items demonstrated a CVI greater than 0.79 and a CVR between 0.62 and 1. Reliability analysis yielded high Cronbach's alpha values for functional, physical, and emotional domains (0.909) and total (0.961). The mean overall scores of VHI-10 for healthy and disordered groups were 18.78 and 0.74, respectively. The VHI-10 effectively discriminated between healthy and disordered groups in all domains, with an accuracy of 97.33%. The determined cut-off point was 4.5, with a strong area under the Receiver Operating Characteristic (ROC) curve (0.989). CONCLUSION: This study successfully adapted and validated the Persian version of the VHI-10. The questionnaire demonstrated high reliability and validity, distinguishing between individuals with and without voice disorders. This Persian version is now a valuable tool for speech and language pathologists conducting clinical voice evaluations in Iran and also it could be applied in studies to determine the effects of voice problems on participant's quality of life.

Psychologists' experience of working with people who hear voices and their views on the idea of voice simulation training: A qualitative study.

OBJECTIVES: Research indicates psychologists typically lack subjective understanding of voice hearing. Voice hearing simulation training has potential to improve understanding, empathy and confidence among clinicians, but psychologists have had limited input into its development. This study investigated psychologists' and a psychotherapist's clinical experience of working with people who hear voices and their views and recommendations for voice hearing simulation training. DESIGN: This was a qualitative study. METHODS: Clinical psychologists and one psychotherapist (N = 17) participated in semi-structured interviews. Thematic analysis was used to analyse transcribed data. RESULTS: The Clinical Experience theme comprised of subthemes Barriers to engagement, Diversity of voice hearing experiences, Lack of subjective understanding, Curiosity about voice hearing, Empathy for voice hearers, Using personal experiences to relate to voices, Clinical experience increases knowledge, Importance of supervision and colleague's support, Benefits of experiential training, Limited training in non-psychosis settings and Clinical experience increases confidence. The Views on Voice Hearing Simulation Training theme comprised of subthemes Improves subjective understanding, Concern about distress, Discomfort as a strength of voice hearing simulations, Artificiality of simulation, Increases empathy and Over-estimation of understanding. The Recommendations theme comprised of subthemes Discuss artificiality, Co-production, Promote voice diversity, Support staff and Maximise inclusivity. CONCLUSIONS: Findings indicate that clinical experience improves psychologists' confidence and knowledge, yet participants reported a lack of subjective understanding of voice hearing. Co-produced simulation training between individuals who hear voices and clinicians was anticipated to improve subjective understanding, empathy and therapeutic relationships, which could support a range of staff and improve quality of care delivered.

Language-general versus language-specific processes in bilingual voice learning.

Language experience confers a benefit to voice learning, a concept described in the literature as the language familiarity effect (LFE). What experiences are necessary for the LFE to be conferred is less clear. We contribute empirically and theoretically to this debate by examining within and across language voice learning with Cantonese-English bilingual voices in a talker-voice association paradigm. Listeners were trained in Cantonese or English and assessed on their abilities to generalize voice learning at test on Cantonese and English utterances. By testing listeners from four language backgrounds - English Monolingual, Cantonese-English Multilingual, Tone Multilingual, and Non-tone Multilingual groups - we assess whether the LFE and group-level differences in voice learning are due to varying abilities (1) in accessing the relative acoustic-phonetic features that distinguish a voice, (2) learning at a given rate, or (3) generalizing learning of talker-voice associations to novel same-language and different-language utterances. The specific four language background groups allow us to investigate the roles of language-specific familiarity, tone language experience, and generic multilingual experience in voice learning. Differences in performance across listener groups shows evidence in support of the LFE and the role of two mechanisms for voice learning: the extraction and association of talker-specific, language-general information that is more robustly generalized across languages, and talker-specific, language-specific information that may be more readily accessible and learnable, but due to its language-specific nature, is less able to be extended to another language.

Listening quality leads to greater working alliance and well-being: Testing a social identity model of working alliance.

OBJECTIVES: Characterization of psychotherapy as the "talking cure" de-emphasizes the importance of an active listener on the curative effect of talking. We test whether the working alliance and its benefits emerge from expression of voice, per se, or whether active listening is needed. We examine the role of listening in a social identity model of working alliance. METHODS: University student participants in a laboratory experiment spoke about stress management to another person (a confederate student) who either did or did not engage in active listening. Participants reported their perceptions of alliance, key social-psychological variables, and well-being. RESULTS: Active listening led to significantly higher ratings of alliance, procedural justice, social identification, and identity leadership, compared to no active listening. Active listening also led to greater positive affect and satisfaction. Ultimately, an explanatory path model was supported in which active listening predicted working alliance through social identification, identity leadership, and procedural justice. CONCLUSIONS: Listening quality enhances alliance and well-being in a manner consistent with a social identity model of working alliance, and is a strategy for facilitating alliance in therapy.

Sealing the Breach: A Surgical Solution for Tracheoesophageal Fistula With a Simple Two-Layer Closure.

Tracheoesophageal puncture (TEP) followed by voice prosthesis placement stands as the primary method for voice rehabilitation after laryngectomy, heralded for its effectiveness. While generally well-tolerated, the procedure does pose potential long-term complications. These include prosthesis valve leakage, scarring, and prosthesis displacement, all of which can impede phonation capabilities. Of these, prosthesis leakage emerges as the most critical concern, precipitated by the progressive widening of the fistula. This complication can precipitate aspiration pneumonitis, stemming from the loss of physical separation between the esophagus and trachea. This case series details three instances where persistent tracheoesophageal fistula arose following TEP, necessitating surgical intervention. Herein, we present the clinical manifestations, surgical approach employing a simple two-layer closure, and ensuing outcomes.

Exploring explainable AI features in the vocal biomarkers of lung disease.

This review delves into the burgeoning field of explainable artificial intelligence (XAI) in the detection and analysis of lung diseases through vocal biomarkers. Lung diseases, often elusive in their early stages, pose a significant public health challenge. Recent advancements in AI have ushered in innovative methods for early detection, yet the black-box nature of many AI models limits their clinical applicability. XAI emerges as a pivotal tool, enhancing transparency and interpretability in AI-driven diagnostics. This review synthesizes current research on the application of XAI in analyzing vocal biomarkers for lung diseases, highlighting how these techniques elucidate the connections between specific vocal features and lung pathology. We critically examine the methodologies employed, the types of lung diseases studied, and the performance of various XAI models. The potential for XAI to aid in early detection, monitor disease progression, and personalize treatment strategies in pulmonary medicine is emphasized. Furthermore, this review identifies current challenges, including data heterogeneity and model generalizability, and proposes future directions for research. By offering a comprehensive analysis of explainable AI features in the context of lung disease detection, this review aims to bridge the gap between advanced computational approaches and clinical practice, paving the way for more transparent, reliable, and effective diagnostic tools.

Deep learning-based dimensional emotion recognition for conversational agent-based cognitive behavioral therapy.

Internet-based cognitive behavioral therapy (iCBT) offers a scalable, cost-effective, accessible, and low-threshold form of psychotherapy. Recent advancements explored the use of conversational agents such as chatbots and voice assistants to enhance the delivery of iCBT. These agents can deliver iCBT-based exercises, recognize and track emotional states, assess therapy progress, convey empathy, and potentially predict long-term therapy outcome. However, existing systems predominantly utilize categorical approaches for emotional modeling, which can oversimplify the complexity of human emotional states. To address this, we developed a transformer-based model for dimensional text-based emotion recognition, fine-tuned with a novel, comprehensive dimensional emotion dataset comprising 75,503 samples. This model significantly outperforms existing state-of-the-art models in detecting the dimensions of valence, arousal, and dominance, achieving a Pearson correlation coefficient of r = 0.90, r = 0.77, and r = 0.64, respectively. Furthermore, a feasibility study involving 20 participants confirmed the model's technical effectiveness and its usability, acceptance, and empathic understanding in a conversational agent-based iCBT setting, marking a substantial improvement in personalized and effective therapy experiences.

Assessing the Effectiveness of Voice Therapy Techniques in Treating Dysphonia: An Otolaryngological Review.

Dysphonia is a prevalent condition that can impact individuals across all age groups. It occurs when normal voice quality is altered, caused by structural and/or functional issues. Evaluation and assessment from clinicians are warranted if dysphonia persists for more than four weeks and/or is coupled with risk factors or other concerning clinical manifestations. Additionally, voice disorders can increase the risk of depression and anxiety disorders, as well as raise stress levels and lower self-reported health indicators. Dysphonia can have a substantial influence on interpersonal interactions and lower overall quality of life since effective communication relies significantly on spoken language. Hence, managing dysphonia is essential for enhancing communication abilities, improving quality of life, maintaining vocational functioning, promoting psychological well-being, and addressing underlying health concerns. Speech and language therapy, medical management, surgery, or a combination of the aforementioned are all possible treatments for dysphonia. Speech and language therapy is often the first-line treatment option for dysphonia patients who do not meet the criteria for surgical intervention. Voice therapy is often beneficial and remains the first line of treatment, even when patients approach with benign vocal fold nodules. A well-designed voice therapy program improves both the quality of life and vocal performance. The majority of the studies in the existing literature advocate for and report beneficial outcomes associated with voice therapy; however, more research is needed to provide evidence-based findings to guide clinical practice and achieve optimal outcomes. This comprehensive review elaborately highlights the utilization and efficacy of various voice therapeutic modalities utilized for the management of dysphonia in light of current literature.

Prevalence and Risk Factors for Occupational Voice Disorders in Nepalese Teachers: A Cross-Sectional Study.

Introduction Teachers are a high-risk group for the development of vocal dysfunction, as they use voice extensively in their profession. Objective To know the prevalence and risk factors associated with voice strain in teachers. Methods A cross-sectional study was conducted among schoolteachers in Chitwan, Nepal. The Voice Handicap Index questionnaire was used as a survey tool. Result A total of 315 teachers were enrolled in the study. The mean age of the participants was of 36.7 years. Teachers from public schools, primary grade classes, > 50 pupils in the classroom, > 24 hours of classes per week, dust in class, and recurrent tonsil problems were associated with various degrees of vocal handicap. Conclusion There is a high prevalence of voice disorder among teachers. A holistic approach, which includes teacher education regarding voice care during their work and management of their voice handicap by taking into consideration different risk factors, must be adopted.

Prevalence of Perceived Voice Disorders and Associated Risk Factors in Teachers and General Population in Croatia.

OBJECTIVES: There is no available data on the prevalence of voice disorders in Croatia. The objective of this research was to determine the prevalence of perceived voice disorders (PVD) in teachers and general population in Croatia using the Croatian Voice Handicap Index (VHI-HR) questionnaire. METHODS: This research was divided into two phases. In phase I, the potential of the VHI-HR questionnaire to distinguish individuals with and without voice disorders was assessed. A total of 113 participants completed the VHI-HR. Receiver operating characteristic analysis was performed. In phase II, a cross-sectional study was conducted. A total of 1898 participants, including 1088 teachers from 434 Croatian schools, and 810 nonteachers were included in the study. The questionnaire on sociodemographic factors, potential risk factors associated with voice disorders, and the VHI-HR was administered. The differences in the PVD prevalence in teachers and nonteacher adults and adverse effects of PVD were investigated. The multiple logistic regression model was used to examine the factors associated with PVD occurrence. RESULTS: In phase I, the cut-off point of 18.32 with 93.44% sensitivity and 98.08% specificity for VHI-HR was determined. In phase II, higher lifetime PVD prevalence was found among teachers. The point prevalence of PVD was 45.68% for teachers, and 21.11% for nonteachers. This study demonstrated that being a teacher, a woman, having a family history of voice disorders, reflux, working in environment with elevated noise levels, and having more than 30years of employment are associated with PVD occurrence. CONCLUSIONS: VHI-HR score of 19 and higher proves effective in distinguishing individuals with voice disorders from those without. The odds of having PVD for teachers are 2.83 times higher than for nonteachers. Risk factors for voice disorders, among others, include occupational use of voice and working in environments with elevated noise levels.

A double-blind randomized clinical trial of inflammatory cytokine and pepsin levels in the saliva of patients with voice prostheses.

BACKGROUND: Tracheoesophageal speech is one of the most effective method used for voice rehabilitation after laryngectomy. The main limitation is the need for periodic voice prothesis (VP) replacements. The process of developing VP usage complications is still unexplored. The aim of this study was to assess the level of cytokines (IL-1ß, IL-6, IL-8, IL-10, TNFα) and pepsin in saliva as potential factors reducing VP longevity. METHODS: Prospective double-blind randomized clinical trial was conducted (NCT04268459). Patients were randomly divided into two groups depending on VP replacement regimen (regular-every 3 months, or irregular-when complications occur). Levels of IL-1ß, IL-6, IL-8, IL-10, TNFα, and pepsin in saliva samples (fasting and after eating) of laryngectomized patients were measured using ELISA tests. RESULTS: Fifty-two patients (26 in both groups) with control group (7 patients) participated in the study. The level of IL-1ß, IL-6, IL-8, IL-10, TNFα, and pepsin did not differ according to regularity of VP replacements (p = 0.301-0.801). IL-6 levels were significantly higher when VP complications occurs (p = 0.012). CONCLUSIONS: The saliva components were not significantly different depending on the frequency of VP replacements. IL-6 plays an important role in the development of VP use complications.

Effects of expectations and sensory unreliability on voice detection - A preregistered study.

The phenomenon of "hearing voices" can be found not only in psychotic disorders, but also in the general population, with individuals across cultures reporting auditory perceptions of supernatural beings. In our preregistered study, we investigated a possible mechanism of such experiences, grounded in the predictive processing model of agency detection. We predicted that in a signal detection task, expecting less or more voices than actually present would drive the response bias toward a more conservative and liberal response strategy, respectively. Moreover, we hypothesized that including sensory noise would enhance these expectancy effects. In line with our predictions, the findings show that detection of voices relies on expectations and that this effect is especially pronounced in the case of unreliable sensory data. As such, the study contributes to our understanding of the predictive processes in hearing and the building blocks of voice hearing experiences.

Assessing inclusion and representativeness on digital platforms for health education: Evidence from YouTube.

BACKGROUND: Studies confirm that significant biases exist in online recommendation platforms, exacerbating pre-existing disparities and leading to less-than-optimal outcomes for underrepresented demographics. We study issues of bias in inclusion and representativeness in the context of healthcare information disseminated via videos on the YouTube social media platform, a widely used online channel for multi-media rich information. With one in three US adults using the Internet to learn about a health concern, it is critical to assess inclusivity and representativeness regarding how health information is disseminated by digital platforms such as YouTube. METHODS: Leveraging methods from fair machine learning (ML), natural language processing and voice and facial recognition methods, we examine inclusivity and representativeness of video content presenters using a large corpus of videos and their metadata on a chronic condition (diabetes) extracted from the YouTube platform. Regression models are used to determine whether presenter demographics impact video popularity, measured by the video's average daily view count. A video that generates a higher view count is considered to be more popular. RESULTS: The voice and facial recognition methods predicted the gender and race of the presenter with reasonable success. Gender is predicted through voice recognition (accuracy = 78 %, AUC = 76 %), while the gender and race predictions use facial recognition (accuracy = 93 %, AUC = 92 % and accuracy = 82 %, AUC = 80 %, respectively). The gender of the presenter is more significant for video views only when the face of the presenter is not visible while videos with male presenters with no face visibility have a positive relationship with view counts. Furthermore, videos with white and male presenters have a positive influence on view counts while videos with female and non - white group have high view counts. CONCLUSION: Presenters' demographics do have an influence on average daily view count of videos viewed on social media platforms as shown by advanced voice and facial recognition algorithms used for assessing inclusion and representativeness of the video content. Future research can explore short videos and those at the channel level because popularity of the channel name and the number of videos associated with that channel do have an influence on view counts.

Voice disorder discrimination using vowel acoustic measures in female speakers.

BACKGROUND: Sustained vowels are important vocal tasks that have been investigated in discriminating voice disorders using acoustic analysis. To date, no study has combined vowel acoustic measures only that evaluate major aspects of the pathological voice signals in voice disorder discrimination. AIMS: To investigate the value of vowel acoustic measures that quantify glottal noise, signal stability, signal periodicity, spectral slope and overall voice quality in discriminating female speakers with and without voice disorders. METHODS & PROCEDURES: Sustained vowel /ɑ/ samples were extracted from 133 voice-disordered female patients and 97 non-voice disordered female speakers and were signal typed prior to analysis. Praat software was used to measure harmonics-to-noise ratio (HNR), glottal-to-noise excitation ratio (GNE), the standard deviation of fundamental frequency (F0SD) and cepstral peak prominence (CPPp); and the Analysis of Dysphonia in Speech and Voice (ADSV) program was used to measure CPPadsv, low/high spectral ratio (LH) and the cepstral/spectral index of dysphonia (CSID). Outcome measures included sensitivity, specificity, and discrimination accuracy. OUTCOMES & RESULTS: As individual acoustic measures, only spectral-based measures showed good (CPPadsv) and acceptable (CSID) discrimination results. The HNR, GNE and CPPp measures had acceptable sensitivity but poor or non-acceptable specificity and discrimination accuracy. Logistic regression models with all Praat measures (F0SD, HNR, GNE, CPPp) plus ADSV measures (CPPadsv, LH or CSID) provided excellent sensitivity, good-to-excellent specificity and excellent discrimination accuracy. ROC analysis for all individual measures showed that CPPadsv, CSID, CPPp, GNE and F0SD had the highest area under the curve (AUC) values. CONCLUSIONS & IMPLICATIONS: A combination of acoustic measures that evaluate the major aspects of vocal dysfunction resulted in good to excellent voice discrimination outcomes. Individual acoustic measures had lower discrimination ability than combined measures. The findings implied that acoustic measures extracted from a prolonged vowel were useful in voice disorder discrimination. WHAT THIS PAPER ADDS: What is already known on this subject Acoustic measures hold great value in discriminating voice disorders from normal voices. However, no study has evaluated discrimination values of a combination of sustained vowel acoustic measures that quantify additive noise, signal stability, signal periodicity, spectral slope and overall voice quality in single-gender cohorts. Previous studies have not used signal typing (the classification of the acoustic signals) for time-based measures, impacting the reliability of discrimination. What this study adds to the existing knowledge This study was the first to implement signal typing to include sustained vowel samples of Types 1 and 2 signals for discrimination statistics. We showed that a combination of vocal acoustic measures using time- and spectral-based extraction from the sustained /ɑ/ vowel evaluating additive noise, signal stability, signal periodicity, spectral slope and overall voice quality resulted in good to excellent sensitivity, specificity and discrimination accuracy. As individual measures, traditional time-based measures such as HNR had rather limited discrimination values whilst spectral-based measures provided higher discrimination values. Measures that are sensitive to signal types have low discrimination ability. What are the potential or actual clinical implications of this work? The sustained vowel /ɑ/ is a relevant, universal vocal task for clinical application using acoustic measures to discriminate female speakers with and without voice disorders if signal typing is implemented. Clinical voice assessment using vowels may not be effective if relying solely on time-based measurements. Spectral-based measures perform better in voice disorder discrimination given their insensitivity to signal types. The most effective voice disorder discrimination could only be obtained using a combination of acoustic measures that quantify major phenomena in the signals of disordered voices. Using measures extracted from both programs, Praat and ADSV, is useful given that specific settings in a program may impact on discrimination accuracy.

Ferrer Adjustable Speaking Valve for Early Phonation in a Deconditioned Patient.

A patient with multiple comorbidities and an eight-year history of tracheostomy was being treated for tracheitis. At this point, she became incapable of using regular speaking valves, and multiple attempts to reintroduce the speaking valve failed. A Ferrer adjustable speaking valve (FASV) was designed with gradations of outflow closure, allowing air to go through the vocal cords for phonation. The FASV was offered to her through the compassionate use program at the FDA. At 20% initial closure, the patient was able to tolerate the valve and was advanced to 50% closure, at which point she could phonate partially. The use of the valve was terminated at the time of her transfer, 23 days after the initiation of use. This suggests the safety and possible efficacy of using an adjustable speaking valve earlier than regular valves, allowing patients to communicate earlier and further exercise their diaphragms.

A prostate seed implantation robot system based on human-computer interactions: Augmented reality and voice control.

The technology of robot-assisted prostate seed implantation has developed rapidly. However, during the process, there are some problems to be solved, such as non-intuitive visualization effects and complicated robot control. To improve the intelligence and visualization of the operation process, a voice control technology of prostate seed implantation robot in augmented reality environment was proposed. Initially, the MRI image of the prostate was denoised and segmented. The three-dimensional model of prostate and its surrounding tissues was reconstructed by surface rendering technology. Combined with holographic application program, the augmented reality system of prostate seed implantation was built. An improved singular value decomposition three-dimensional registration algorithm based on iterative closest point was proposed, and the results of three-dimensional registration experiments verified that the algorithm could effectively improve the three-dimensional registration accuracy. A fusion algorithm based on spectral subtraction and BP neural network was proposed. The experimental results showed that the average delay of the fusion algorithm was 1.314 s, and the overall response time of the integrated system was 1.5 s. The fusion algorithm could effectively improve the reliability of the voice control system, and the integrated system could meet the responsiveness requirements of prostate seed implantation.