Electrogastrogram extraction using independent component analysis with references

Cheng, Peng; Qian, Xiang; Ye, Datian

doi:10.1007/s00521-007-0100-3

Cited by 10 publications

(4 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After preprocessed by low-pass filter, The EGG raw data were fed into an adaptive filter [12] and extracted by the method of independent component analysis with reference (ICA-R) [9]. The output data were denoised and can represent the slow waves of the gastric myoelectrical activities.…”

Section: Data Processing and Analysismentioning

confidence: 99%

See 1 more Smart Citation

Regulation of Electroacupuncture on Gastric Myoelectrial Activities: Monitered by Electrogastrograms

Cheng¹

2013

ENG

View full text Add to dashboard Cite

It is reported that acupuncture on some acupoints can enhance the regularity of gastric myoelectrical activities, which can be observed from the electrogastrograms (EEGs). In this paper, the electroacupuncture (EA) treatments were performed on subjects with slight gastric disorders and the EEGs were monitored in the meanwhile. The EEGs features of baseline, during and after EA treatments were analyzed. The results show that the EA treatments do enhance the regularity of EEGs. And a highly possible pattern for EA to attain the enhancement is to regulate the pacemaker quantity and propagation of slow waves rather than regulating the amplitude of slow waves.

show abstract

Section: Data Processing and Analysismentioning

confidence: 99%

“…In order to obtain more information from EEGs, some new methods and parameters were proposed [9][10][11]. In this paper, EEGs were monitored before, during and after acupuncture treatments on subjects with gastric disorders.…”

Section: Introductionmentioning

confidence: 99%

Regulation of Electroacupuncture on Gastric Myoelectrial Activities: Monitered by Electrogastrograms

Cheng¹

2013

ENG

View full text Add to dashboard Cite

show abstract

“…Classic methods for picking up the slow wave from EGG are bandpass filters [16], phase-locking filters, and autoregressive modeling. Afterwards, advance processing techniques, such as adaptive filtering [17], empirical mode decomposition [18], and independent component analysis (ICA) [19], are also introduced. Current trend of research is utilizing a multichannel acquisition system to record synchronous multichannel signals for dereferencing the respiratory artifact or separating independent signal components.…”

Section: Introductionmentioning

confidence: 99%

Signal reconstruction of the slow wave and spike potential from electrogastrogram

Qin

Ding

Miao

et al. 2015

BME

View full text Add to dashboard Cite

Abstract. The gastric slow wave and the spike potential can correspondingly represent the rhythm and the intensity of stomach motility. Because of the filtering effect of biological tissue, electrogastrogram (EGG) cannot measure the spike potential on the abdominal surface in the time domain. Thus, currently the parameters of EGG adopted by clinical applications are only the characteristics of the slow wave, such as the dominant frequency, the dominant power and the instability coefficients. The limitation of excluding the spike potential analyses hinders EGG from being a diagnosis to comprehensively reveal the motility status of the stomach. To overcome this defect, this paper a) presents an EGG reconstruction method utilizing the specified signal components decomposed by the discrete wavelet packet transform, and b) obtains a frequency band for the human gastric spike potential through fasting and postprandial cutaneous EGG experiments for twenty-five human volunteers. The results indicate the lower bound of the human gastric spike potential frequency is 0.96±0.20 Hz (58±12 cpm), and the upper bound is 1.17±0.23 Hz (70±14 cpm), both of which have not been reported before to the best of our knowledge. As an auxiliary validation of the proposed method, synchronous serosa-surface EGG acquisitions are carried out for two dogs. The frequency band results for the gastric spike potential of the two dogs are respectively 0.83-0.90 Hz (50-54 cpm) and 1.05-1.32 Hz (63-79 cpm). They lie in the reference range 50-80 cpm proposed in previous literature, showing the feasibility of the reconstruction method in this paper.

show abstract

“…This approach is known as temporally constrained ICA (cICA) [12,13]. It has been applied to brain potentials [9,10] and to electrogastogram artifacts removal [23] and to separating fetal from maternal ECGs [12]. Yet, the choice of a reference component in ECG application should not be dependent on QRS complex identification, as it is in [12], since such feature could be masked by the noise and, thus, difficult to extract.…”

Section: Introductionmentioning

confidence: 99%

Independent component analysis applied to the removal of motion artifacts from electrocardiographic signals

Milanesi

Mondaini

Vanello

et al. 2007

Med Biol Eng Comput

View full text Add to dashboard Cite

Electrocardiographic (ECG) signals are affected by several kinds of artifacts that may hide vital signs of interest. In this study we apply independent component analysis (ICA) to isolate motion artifacts. Standard or instantaneous ICA, which is currently the most addressed ICA model within the context of artifact removal, is compared to two other ICA techniques. The first technique is a frequency domain approach to convolutive mixture separation. The second is based on temporally constrained ICA, which enables the estimation of only one component close to a particular reference signal. Performance indexes evaluate ECG complex enhancement and relevant heart rate errors. Our results show that both convolutive and constrained ICA implementations perform better than standard ICA, thus opening up a new field of application for these two methods. Moreover, statistical analysis reveals that constrained ICA and convolutive ICA do not significantly differ concerning heart rate estimation, even though the latter overcomes the former in ECG morphology recovery.

show abstract

Electrogastrogram extraction using independent component analysis with references

Cited by 10 publications

References 21 publications

Regulation of Electroacupuncture on Gastric Myoelectrial Activities: Monitered by Electrogastrograms

Regulation of Electroacupuncture on Gastric Myoelectrial Activities: Monitered by Electrogastrograms

Signal reconstruction of the slow wave and spike potential from electrogastrogram

Independent component analysis applied to the removal of motion artifacts from electrocardiographic signals

Contact Info

Product

Resources

About