METHODS: This prospective observational study comprised 34 newly diagnosed unilateral vocal fold paralysis patients undergoing surgical interventions: injection laryngoplasty or medialisation thyroplasty. Voice assessments, including maximum vocal intensity and other acoustic parameters, were performed at baseline and at one and three months post-intervention. Maximum vocal intensity was also repeated within two weeks before any surgical interventions were performed. The results were compared between different time points and between the two intervention groups.
RESULTS: Maximum vocal intensity showed high internal consistency. Statistically significant improvements were seen in maximum vocal intensity, Voice Handicap Index-10 and other acoustic analyses at one and three months post-intervention. A significant moderate negative correlation was demonstrated between maximum vocal intensity and Voice Handicap Index-10, shimmer and jitter. There were no significant differences in voice outcomes between injection laryngoplasty and medialisation thyroplasty patients at any time point.
CONCLUSION: Maximum vocal intensity can be applied as a treatment outcome measure in unilateral vocal fold paralysis patients; it can demonstrate the effectiveness of treatment and moderately correlates with self-reported outcome measures.
METHOD: Electromyographic (EMG) signals of the orbicularis oris superior [OOS], orbicularis oris inferior [OOI] and depressor labii inferioris [DLI] were recorded during syllable production and expressed as polar-phase notations.
RESULT: PD participants exhibited the general features of reciprocity between OOS, OOI and DLI muscles as reflected in the EMG during syllable production. The control group showed significantly higher integrated EMG amplitude ratio in the DLI:OOS muscle pairs than PD participants. No speech rate effects were found in EMG muscle reciprocity and amplitude magnitude across all muscle pairs.
CONCLUSION: Similar patterns of muscle reciprocity in PD and controls suggest that corticomotoneuronal output to the facial nucleus and respective perioral muscles is relatively well-preserved in our cohort of mild idiopathic PD participants. Reduction of EMG amplitude ratio among PD participants is consistent with the putative reduction in the thalamocortical activation characteristic of this disease which limits motor cortex drive from generating appropriate commands which contributes to bradykinesia and hypokinesia of the orofacial mechanism.
DESIGN AND SETTING: Descriptive cross-sectional study in a tertiary center.
PARTICIPANTS AND METHODS: The subjects are 274 audio files of voices of patients undergoing thyroid, parathyroid surgeries, and known VCP due to other neck surgeries. Voice assessments were done by three endocrine surgeons (A, B, and C) with 20, 12, and 4 years of surgical experience.
MAIN OUTCOME MEASURES: Sensitivity and specificity of surgeon documented voice assessment in patients with underlying VCP. Subjects' acoustic analysis and Voice Handicap Index (VHI-10) were analyzed.
RESULTS: Raters A, B, and C have sensitivity of 63.6%, 78.8%, and 66.7%, respectively. Inter-rater reliability shows substantial agreement (ƙ = 0.67). VHI-10 has sensitivity of 75.8% and strong correlation of 0.707 (p value <0.001) to VCP. Subjects with VCP have notably higher jitter, shimmer, and noise-to-harmonic ratio compared to normal subjects with sensitivity of 74.2%, 71.2%, and 72.7%, respectively.
CONCLUSIONS: The results for surgeons documented voice assessment did not reach the desired sensitivity for a screening tool for patients with underlying VCP. Other tools such as VHI-10 and acoustic analysis may not be used as standalone tools in screening patients with underlying VCP. Routine preoperative laryngeal examination may be recommended for all patients undergoing thyroid, parathyroid, or other surgeries that places the laryngeal nerves at risk.
OBJECTIVES: This study aimed to segment the breath cycles from pulmonary acoustic signals using the newly developed adaptive neuro-fuzzy inference system (ANFIS) based on breath phase detection and to subsequently evaluate the performance of the system.
METHODS: The normalised averaged power spectral density for each segment was fuzzified, and a set of fuzzy rules was formulated. The ANFIS was developed to detect the breath phases and subsequently perform breath cycle segmentation. To evaluate the performance of the proposed method, the root mean square error (RMSE) and correlation coefficient values were calculated and analysed, and the proposed method was then validated using data collected at KIMS Hospital and the RALE standard dataset.
RESULTS: The analysis of the correlation coefficient of the neuro-fuzzy model, which was performed to evaluate its performance, revealed a correlation strength of r = 0.9925, and the RMSE for the neuro-fuzzy model was found to equal 0.0069.
CONCLUSION: The proposed neuro-fuzzy model performs better than the fuzzy inference system (FIS) in detecting the breath phases and segmenting the breath cycles and requires less rules than FIS.