View clinical trials related to Voice Disorders.
Filter by:Vocal hyperfunction (VH) is the most commonly treated class of voice disorders by speech-language pathologists and voice therapy is the primary curative treatment. Patients and clinicians report that generalizing improved voicing into daily life is the most significant barrier to successful therapy. We will test if extending biofeedback into the patient's daily life using ambulatory voice monitoring will significantly improve generalization during therapy and if individual patient factors, like how easily they can modify their voice and engagement during therapy, moderate the effects of the biofeedback.
The specific aim of the clinical trial portion of the larger research project is to obtain preliminary data on the utility of voice training (resonant voice) in the VR environment compared to a traditional clinical environment, using a mixed model within- and between-subjects randomized experimental design. Independent Variables are (1) training and test condition (clinic room vs VR classroom for training); (2) visual speaker-to-listener distance (2m, 4m, and 6m for training); and (3) time point (baseline at 2 m, retention test at 4 m, and 9 m for transfer test). Dependent Variables are (a) vocal sound pressure level (SPL); and (b) spectral moments (spectral mean and standard deviation (in Hz and cents), skewness, and kurtosis). The hypothesis is that a two-way interaction will be shown between training condition and time point showing greater acquisition and transfer of voice skills following training in the VR environment than in the typical clinical environment. This series will utilize a high degree of innovation and sophisticated VR technology to identify parameters important for subsequent VR development in voice therapy, and to lay the empirical foundation for subsequent studies that build on the present work expanding both its basic science and translational value.
This study intends to collect clinical data such as strobary laryngoscope images and vowel audio data of patients with structural voice disorders and healthy individuals, and to establish a multimodal voice disorder diagnosis system model by using deep learning algorithms. Multi-classification of diseases that cause voice disorders can be applied to patients with voice disorders but undiagnosed in clinical practice, thereby assisting clinicians in diagnosing diseases and reducing misdiagnosis and missed diagnosis. In addition, some patients with voice disorders can be managed remotely through the audio diagnosis model, and better follow-up and treatment suggestions can be given to them. Remote voice therapy can alleviate the current situation of the shortage of speech therapists in remote areas of our country, and increase the number of patients who need voice therapy. opportunity. Remote voice therapy is more cost-effective, more flexible in time, and more cost-effective.
MDVP (Multidimensional Voice Program) has several parameters that can assess voice quality objectively, including Base Frequency (F0), Jitter, Shimmer, NHR (Noise to Harmonic Ratio), VTI (Voice Turbulence Index), and ATRI (Amplitude Tremor Intensity Index). MDVP may provide an objective yet non-invasive and comfortable alternative to assess voice quality - and to some extent, diagnose voice-related abnormalities. The utilization of MDVP in clinical settings is quite common but using it concerning occupational health is rare, especially in Indonesia. No study had reported usage of MDVP to assess voice quality in any occupational voice user group or reported a thorough comparison of MDVP parameters between occupational and non-occupational voice users. With an increase in the realization that voice can be an essential occupational modality, MDVP may become a practical alternative modality in assessing voice quality and occupational-related voice injury in clinical settings. This study will determine any association between occupational voice users and their MDVP parameters from medical records and the MDVP database in Dr Cipto Mangunkusumo Hospital, Jakarta. The study also tries to see whether there is any value in using MDVP to assess voice quality in workers.
Preliminary investigations suggest that a novel blue light (BL) laser with a wavelength of 445nm is comparable to the commonly utilized KTP laser (532nm) for treatment of laryngeal pathologies. An animal study by the Principal Investigators showed that the blue light laser results in significantly less vocal fold scarring compared to the KTP laser, suggesting that the blue light laser may be a better instrument for treating vocal fold disease. However, there are no clinical studies directly comparing the two lasers on treatment of vocal fold pathology. The goal of the proposed study is to directly compare treatment outcomes of the BL laser and KTP laser for benign vocal fold lesions. All laser treatments will be performed in the office under local anesthesia as per standard of care. Outcome variables of interest will be compared between groups, including Voice Handicap Index-10 (VHI-10) score (measured at baseline, 1 week, 1 month, and 3 months post procedure), laryngeal stroboscopic findings (1 and 3 months post procedure), and intra-operative pain. This study will provide support that the blue light laser is a comparable alternative to the KTP laser and allow the addition of this novel laser to the armamentarium for treating vocal fold diseases.
Evaluation of the effect of chronic rhinosinusitis on the laryngeal mucosa and voice quality in children. This is important to know factors affecting voice disorders