ABSTRACT
This study concerns a measurement device and an algorithm of the laryngeal elevation for the Mendelsohn maneuver. The measurement device is band-shaped and measures the change of the circumferential length of the neck by stretchable strain sensors. The device is lightweight of 35 g. The algorithm detects the onset and offset points in time of the laryngeal elevation by the first-order difference and the dynamic time warping distance. Twelve elderly people participated in an experiment to validate the effectiveness of the device. A clustering method separated the measurement data into two groups based on their waveforms. We defined template data from the measurement data. The algorithm detected the onset and offset time by using the template data. Although the offset time of a group had an error of about 4 s, the onset and offset time points of the other group were errors within 1 s.
Subject(s)
Algorithms , Larynx , Aged , Humans , Larynx/physiologyABSTRACT
BACKGROUND: Dysphagia is a growing health problem in aging societies. An observational cohort study targeting community-dwelling populations revealed that 16% of elderly subjects present with dysphagia. There is a need in elderly communities for systematic dysphagia assessment. OBJECTIVE: This study aimed to verify whether laryngeal elevation in the pharyngeal phase could be measured from the body surface using thin and flexible stretch sensors. METHODS: Thirty-two elderly subjects (17 males, 15 females; mean age ± SD: 89.2 ± 6.2 years) with suspected dysphagia underwent a swallowing contrast examination in which seven stretch sensors were attached to the front of the neck. The elongation of the sensors was measured and compared to the laryngeal elevation time values obtained using videofluorography. The sensor signal detected the laryngeal elevation start time, conclusion of the descent of the larynx, and the laryngeal elevation time. The respective laryngeal elevation times obtained using videofluorography and using the sensor were compared using the Bland-Altman method. RESULTS: The laryngeal elevation time was 1.34 ± 0.46 s with the stretch sensor and 1.49 ± 0.56 s with videofluorography. There was a significant positive correlation between the duration obtained by both methods (r = .69, P < .0001). A negative additional significant bias of -0.15 s (95% confidence interval -0.30 to -0.03, P = .046) was noted in the laryngeal elevation time from the videofluorography measurement. CONCLUSION: Laryngeal elevation time can be measured non-invasively from the neck surface using stretch sensors.
Subject(s)
Deglutition Disorders , Larynx , Aged , Aged, 80 and over , Aging , Deglutition , Deglutition Disorders/diagnostic imaging , Female , Humans , Larynx/diagnostic imaging , Male , Pharynx/diagnostic imagingABSTRACT
PURPOSE: Little is known about the usefulness of the Hearing Handicap Inventory for the Elderly-Screening (HHIE-S) and a single question (SQ) in assessing hearing impairment (HI) and the impact of HI on quality of life (QOL). The objective of this study was to examine the reliability, validity, and associations with QOL measures (i.e., subjective well-being, depressive symptoms, subjective loneliness, and physical functioning) of the HHIE-S and the SQ in the elderly community. METHODS: A self-report questionnaire including HHIE-S, SQ, Philadelphia Geriatric Center Morale Scale, Geriatric Depression Scale, UCLA Loneliness Scale, and the Tokyo Metropolitan Institute of Gerontology Index of Competence was administered to community elderly (781 males and 950 females). Among them, 97 males and 100 females also responded voluntarily to a request for test-retest and auditory tests. The criterion validity was tested by using pure-tone averages. RESULTS: Regarding the reliability of HHIE-S, Cronbach's alpha coefficient was 0.91, Spearman-Brown coefficient was 0.90, and intra-class correlation coefficient was 0.85. Regarding the test-retest reliability of SQ, kappa coefficient was 0.65. HHIE-S had significantly lower sensitivity in identifying >25-dB HI, but significantly higher specificity for the detection of >40-dB HI than SQ. HHIE-S had stronger associations with QOL measures than did SQ. CONCLUSIONS: HHIE-S had high reliability, while SQ had insufficient reliability. HHIE-S was more specific in detecting HI and more sensitive in assessing the impact of HI on QOL than SQ. HHIE-S is a more effective instrument for assessing HI and QOL research than SQ in the elderly community.
