Tissue artifact removal from respiratory signals based on empirical mode decomposition.
Tissue artifact removal from respiratory signals based on empirical mode decomposition.
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DOI：
10.1007/s10439-013-0742-5
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发表时间：
2013-05
影响因子：
3.8
通讯作者：
Freedson, Patty
中科院分区：
文献类型：
--
作者：
Liu, Shaopeng;Gao, Robert X.;John, Dinesh;Staudenmayer, John;Freedson, Patty
呼吸在线测量在监测人体身体活动中起着重要作用。这种测量通常采用固定在测试对象胸腔和腹部周围的传感带。受身体组织运动的影响，呼吸信号通常具有较低的信噪比。因此，去除组织伪影对于确保有效的呼吸分析至关重要。提出了一种基于经验模态分解（EMD）的呼吸信号组织伪影去除方法。设计了一种基于互信息和功率准则的算法，自动选择合适的本征模态函数（IMFs）进行组织伪影去除和呼吸信号重建。通过仿真和实际实验（N = 105）评估emd算法的性能。与传统应用的低通滤波进行比较，证实了该技术在去除组织伪影方面的有效性。
On-line measurement of respiration plays an important role in monitoring human physical activities. Such measurement commonly employs sensing belts secured around the rib cage and abdomen of the test object. Affected by the movement of body tissues, respiratory signals typically have a low signal-to-noise ratio. Removing tissue artifacts therefore is critical to ensuring effective respiration analysis. This paper presents a signal decomposition technique for tissue artifact removal from respiratory signals, based on the empirical mode decomposition (EMD). An algorithm based on the mutual information and power criteria was devised to automatically select appropriate intrinsic mode functions (IMFs) for tissue artifact removal and respiratory signal reconstruction. Performance of the EMD-algorithm was evaluated through simulations and real-life experiments (N = 105). Comparison with low-pass filtering that has been conventionally applied confirmed the effectiveness of the technique in tissue artifacts removal.
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DOI：
10.1016/0010-4809(86)90037-6
发表时间：
1986-10-01
期刊：
COMPUTERS AND BIOMEDICAL RESEARCH
影响因子：
--
作者：
VANALSTE, JA;VANECK, W;HERRMANN, OE
通讯作者：
HERRMANN, OE
影响因子：
3.2
作者：
Augousti, AT;Maletras, FX;Mason, J
通讯作者：
Mason, J
DOI：
10.1109/tim.2007.907967
发表时间：
2007-12-01
影响因子：
5.6
作者：
Boudraa, Abdel-Ouahab;Cexus, Jean-Christophe
通讯作者：
Cexus, Jean-Christophe
影响因子：
4.7
作者：
Bradley, AP;Wilson, WJ
通讯作者：
Wilson, WJ
DOI：
10.1007/bf01627449
发表时间：
1989-07-01
期刊：
JOURNAL OF CLINICAL MONITORING
影响因子：
--
作者：
EAST, KA;EAST, TD;WATERFALL, BT
通讯作者：
WATERFALL, BT