The following publications are possibly variants of this publication:
- Segmentation of Dual-Axis Swallowing Accelerometry Signals in Healthy Subjects With Analysis of Anthropometric Effects on Duration of Swallowing ActivitiesErvin Sejdic, Catriona M. Steele, Tom Chau. tbe, 56(4):1090-1097, 2009. [doi]
- Classification of Penetration-Aspiration Versus Healthy Swallows Using Dual-Axis Swallowing Accelerometry Signals in Dysphagic SubjectsErvin Sejdic, Catriona M. Steele, Tom Chau. tbe, 60(7):1859-1866, 2013. [doi]
- An online swallow detection algorithm based on the quadratic variation of dual-axis accelerometrySotirios Damouras, Ervin Sejdic, Catriona M. Steele, Tom Chau. tsp, 58(6):3352-3359, 2010. [doi]
- Time-Frequency Analysis and Hermite Projection Method Applied to Swallowing Accelerometry SignalsIrena Orovic, Srdjan Stankovic, Tom Chau, Catriona M. Steele, Ervin Sejdic. ejasp, 2010, 2010. [doi]
- Post-Segmentation Swallowing Accelerometry Signal Trimming and False Positive ReductionHelia Mohammadi, Catriona M. Steele, Tom Chau. spl, 23(9):1221-1225, 2016. [doi]
- Classification of healthy and abnormal swallows based on accelerometry and nasal airflow signalsJoon Lee, Catriona M. Steele, Tom Chau. artmed, 52(1):17-25, 2011. [doi]
- Scaling analysis of baseline dual-axis cervical accelerometry signalsErvin Sejdic, Catriona M. Steele, Tom Chau. cmpb, 103(3):113-120, 2011. [doi]
- A comparative analysis of DBSCAN, K-means, and quadratic variation algorithms for automatic identification of swallows from swallowing accelerometry signalsJoshua M. Dudik, Atsuko Kurosu, James L. Coyle, Ervin Sejdic. cbm, 59:10-18, 2015. [doi]