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Please use this identifier to cite or link to this item: http://hdl.handle.net/1807/17175

Title: Investigating the Correlation between Swallow Accelerometry Signal Parameters and Anthropometric and Demographic Characteristics of Healthy Adults
Authors: Hanna, Fady
Advisor: Chau, Tom
Steele, Catriona
Department: Biomedical Engineering
Keywords: aspiration
accelerometry
anthropometric
canonical correlation
segmentation algorithm
Issue Date: 24-Feb-2009
Abstract: Thesis studied correlations between swallowing accelerometry parameters and anthropometrics in 50 healthy participants. Anthropometrics include: age, gender, weight, height, body fat percent, neck circumference and mandibular length. Dual-axis swallowing signals, from a biaxial accelerometer were obtained for 5-saliva and 10-water (5-wet and 5-wet chin-tuck) swallows per participant. Two patient-independent automatic segmentation algorithms using discrete wavelet transforms of swallowing sequences segmented: 1) saliva/wet swallows and 2) wet chin-tuck swallows. Extraction of swallows hinged on dynamic thresholding based on signal statistics. Canonical correlation analysis was performed on sets of anthropometric and swallowing signal variables including: variance, skewness, kurtosis, autocorrelation decay time, energy, scale and peak-amplitude. For wet swallows, significant linear relationships were found between signal and anthropometric variables. In superior-inferior directions, correlations linked weight, age and gender to skewness and signal-memory. In anterior-posterior directions, age was correlated with kurtosis and signal-memory. No significant relationship was observed for dry and wet chin-tuck swallowing
URI: http://hdl.handle.net/1807/17175
Appears in Collections:Master
Institute of Biomaterials and Biomedical Engineering - Master theses

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