Title :
Accelerometer-Based Breathing Signal Acquisition with Empirical Mode Decomposition
Author :
Bo-Yuan Yang ; Cheng-Chun Chang ; Yi-Hsuan Ting ; Jia-Wei Liao ; Hong-Li Lin ; Tay-Jyi Lin ; Chingwei Yeh ; Jinn-Shyan Wang
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Chung Cheng Univ. (CCU), Chiayi, Taiwan
Abstract :
This paper presents an effective method based on the empirical mode decomposition (EMD) to extract driver´s breathing signal from an accelerometer installed on the safety belt. The method has been verified to have consistent results with commercial belt under various driving conditions, where the acceleration from car driving or road bumps has much higher signal power than the desired breathing signal from chest movement (i.e. negative signal to noise ratio).
Keywords :
accelerometers; medical signal processing; signal detection; EMD; accelerometer-based breathing signal acquisition; car driving; chest movement; driver breathing signal; driving conditions; empirical mode decomposition; road bumps; safety belt; Acceleration; Accelerometers; Belts; Electrocardiography; Empirical mode decomposition; Roads; Safety;
Conference_Titel :
Information Science and Applications (ICISA), 2014 International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4799-4443-9
DOI :
10.1109/ICISA.2014.6847349