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Permanent URI for this collectionhttps://eresearch.qmu.ac.uk/handle/20.500.12289/22
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Item Improving ultrasound post estimation accuracy by training on co-registered EMA data(University of Aizu, 2024-06-28) Balch-Tomes, Jonathan; Wrench, Alan A.; Scobbie, James M.; Macmartin, C.; Turk, A.This study aims to assess how accurately DeepLabCut [1], when applied to ultrasound tongue images, can estimate Electromagnetic Articulography (EMA) sensor positions. EMA provides objective measures of anterior tongue, jaw, and lip kinematics. DeepLabCut pose estimation is a powerful method of extracting keypoint positions from midsagittal ultrasound images of the tongue. It has an advantage over EMA in that it can be applied to the whole of the tongue from tip to root as well as the jaw and the hyoid. After correction for probe translation standard error in the estimation of keypoint positions compared to the corresponding EMA sensor positions was 1.2-1.5mm along the tongue contour and 0.5-0.9mm perpendicular to the tongue contour.Item Similar and different tongue surface contours: intra-speaker controls in ultrasound analysis(2023-08) Scobbie, James M.Ultrasound studies of speech production analyse differences in dependent variables reflecting the tongue surface’s location and shape. Inferential statistics distinguish theoretically-relevant from random effects, somewhat independently of the descriptive size of significant effects. Experimental designs induce measurable dependent changes by manipulating independent variables such as prosody, phonemic target, etc. This paper presents descriptive statistics quantifying holistically all 15 pairwise differences between six monophthongal long vowel phonemes of one variety of English, comparing these to experimental noise differences attributable to the use of two identical blocks of data collection in sequence. Eight speakers were recorded, using two different ultrasound systems, and analysed in AAA using both edge-tracking and DeepLabCut pose estimation. The smallest phonemic contrast (~2mm) was greater than the experimental noise (~1mm), and was well evidenced by AAA’s t-test of radial difference.Item Automated assessment of hyoid movement during normal swallow using ultrasound(Royal College of Speech and Language Therapists, 2022-03-14) Ma, Joan K-Y; Wrench, Alan A.Background The potential for using ultrasound by speech and language therapists (SLTs) as an adjunct clinical tool to assess swallowing function has received increased attention during the COVID-19 pandemic, with a recent review highlighting the need for further research on normative data, objective measurement, elicitation protocol and training. The dynamic movement of the hyoid, visible in ultrasound, is crucial in facilitating bolus transition and protection of the airway during a swallow and has shown promise as a biomarker of swallowing function.Item Translating ultrasound into clinical practice for the assessment of swallowing and laryngeal function: A speech and language pathology-led consensus study(Springer, 2022-02-24) Allen, Jodi E.; Clunie, Gemma; Ma, Joan K-Y; Coffey, Margaret; Winiker, Katharina; Richmond, Sally; Lowell, Soren Y.; Volkmer, AnnaUltrasound (US) has an emerging evidence base for the assessment of swallowing and laryngeal function. Accessibility and technological advances support the use of US as a clinical assessment tool; however, there is insufficient evidence to support its translation into clinical practice. This study aimed to establish consensus on the priorities for translation of US into clinical practice for the assessment of swallowing and laryngeal function. Nominal Group Technique (NGT) was used as a formal method of consensus development. Clinicians and academics, all members of an international US working group, were invited to participate in the study. Two NGT meetings were held, where participants silently generated and then shared ideas. Participants anonymously ranked items. Rankings were aggregated before participants re-ranked items in order of priority. Discussions regarding rankings were recorded and transcribed to inform analysis. Member-checking with participants informed the final analysis. Participants (n = 15) were speech and language pathologists, physiotherapists and sonographers representing six countries. Fifteen items were identified and prioritised 1–13 (including two equally ranked items). Reliability, validity and normative data emerged as key areas for research while development of training protocols and engagement with stakeholders were considered vital to progressing US into practice. Analysis revealed common themes that might be addressed together in research, in addition to the ranked priority. A measured approach to the translation of US into clinical practice will enable effective implementation of this tool. Priorities may evolve as clinical and professional contexts shift, but this study provides a framework to advance research and clinical practice in this field.