Title :
Fractal analysis of acceleration signals due to swallowing
Author :
Joshi, Anand C. ; Reddy, Narender P.
Author_Institution :
Dept. of Biomed. Eng., Akron Univ., OH, USA
Abstract :
Swallowing gives rise to a characteristic pattern of acceleration in normal subjects which is different from that of dysphagic individuals. In the past, signal parameters like mean power, mean frequency, and peak magnitude were used to characterize the signal. The question remains if fractal dimension can be used to characterize the signal. The purpose of the present study was to address this question. The fractal dimension was found to be 1.585±0.199 for acceleration signals due to normal swallowing, and was found to be 1.238±0.059 for acceleration signals due to dysphagic swallowing
Keywords :
acceleration; biocontrol; biomechanics; fractals; patient diagnosis; patient rehabilitation; acceleration signals; characteristic pattern; dysphagic individuals; dysphagic swallowing; fractal analysis; fractal dimension; head injury patients; mean frequency; mean power; normal subjects; normal swallowing; peak magnitude; signal parameters; stroke patients; Acceleration; Accelerometers; Band pass filters; Brain injuries; Digital filters; Fractals; Frequency; Neural networks; Performance evaluation; Signal analysis;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804066
