TY - GEN
T1 - Reflection wave analysis based on ensemble empirical mode decomposition
AU - Kao, Sheng Chi
AU - Chang, Chia Chi
AU - Hsiao, Tzu-Chien
AU - Hsu, Hung Yi
PY - 2013
Y1 - 2013
N2 - In recent studies, the reflection waveform analysis (RWA) in arterial blood pressure (ABP) is the important method for cardiovascular system assessment. But conventional RWA contains some limitations during several clinical experiments, such as the unrecognizable reflection waveform morphology during Valsalva maneuver (VM). This study proposed a new RWA based on ensemble empirical mode decomposition (EEMD), which extracted the intrinsic feature of ABP waveform, including reflection wave and trend of ABP. Furthermore, the reflection time (Tr) was computed by EEMD-based RWA and the results of agreement test showed that Tr can be estimated with unrecognizable reflection waveform. It helps for the cardiovascular system assessment during specific physiological challenges, such as VM. Moreover, it helps for cardiovascular auto-regulation studies for reflection wave monitoring by VM study.
AB - In recent studies, the reflection waveform analysis (RWA) in arterial blood pressure (ABP) is the important method for cardiovascular system assessment. But conventional RWA contains some limitations during several clinical experiments, such as the unrecognizable reflection waveform morphology during Valsalva maneuver (VM). This study proposed a new RWA based on ensemble empirical mode decomposition (EEMD), which extracted the intrinsic feature of ABP waveform, including reflection wave and trend of ABP. Furthermore, the reflection time (Tr) was computed by EEMD-based RWA and the results of agreement test showed that Tr can be estimated with unrecognizable reflection waveform. It helps for the cardiovascular system assessment during specific physiological challenges, such as VM. Moreover, it helps for cardiovascular auto-regulation studies for reflection wave monitoring by VM study.
KW - Valsalva maneuver
KW - ensemble empirical mode decomposition
KW - reflection time
KW - reflection waveform analysis
UR - http://www.scopus.com/inward/record.url?scp=84893778571&partnerID=8YFLogxK
U2 - 10.1109/EHB.2013.6707404
DO - 10.1109/EHB.2013.6707404
M3 - Conference contribution
AN - SCOPUS:84893778571
SN - 9781479923731
T3 - 2013 E-Health and Bioengineering Conference, EHB 2013
BT - 2013 E-Health and Bioengineering Conference, EHB 2013
T2 - 4th IEEE International Conference on E-Health and Bioengineering, EHB 2013
Y2 - 21 November 2013 through 23 November 2013
ER -