Complexity Analysis on Normal and Abnormal Electrogastrograms Using Tsallis Entropy

Alagumariappan, Paramasivam; Rajagopal, Amirtham; Krishnamurthy, Kamalanand

doi:10.3390/ecea-3-a003

Cited by 13 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Electrogastrography is a cutaneous measurement and recording technique of the gastric electrical activity associated with the process of digestion [22]. Further, the non-invasive nature of this method and the mechano-electric correlations makes it a simple and efficient technique for classification of various disorders associated with the digestive system.…”

Section: Resultsmentioning

confidence: 99%

“…The concept of entropy was introduced by Rudolph Clausius in connection with the second law of thermodynamics [6]. Entropy is a measure of disorder associated with a system and hence is a measure of information content, uncertainty and complexity of the system [22]. The concept of entropy is utilized in various fields of science and engineering such as statistical mechanics, information theory, biomedical signal processing, chaos theory, neural networks, mathematical linguistics, and taxonomy [6].…”

Section: Rényi Entropymentioning

confidence: 99%

See 1 more Smart Citation

Effect of electrode contact area on the information content of the recorded electrogastrograms: An analysis based on Rényi entropy and Teager-Kaiser Energy

Alagumariappan

Krishnamurthy

Kandiah

et al. 2017

Polish Journal of Medical Physics and Engineering

Self Cite

View full text Add to dashboard Cite

Electrogastrograms (EGG) are electrical signals originating from the digestive system, which are closely correlated with its mechanical activity. Electrogastrography is an efficient non-invasive method for examining the physiological and pathological states of the human digestive system. There are several factors such as fat conductivity, abdominal thickness, change in electrode surface area etc, which affects the quality of the recorded EGG signals. In this work, the effect of variations in the contact area of surface electrodes on the information content of the measured electrogastrograms is analyzed using Rényi entropy and Teager-Kaiser Energy (TKE). Two different circular cutaneous electrodes with approximate contact areas of 201.14 mm 2 and 283.64 mm 2 , have been adopted and EGG signals were acquired using the standard three electrode protocol. Further, the information content of the measured EGG signals were analyzed using the computed values of entropy and energy. Results demonstrate that the information content of the measured EGG signals increases by 6.72% for an increase in the contact area of the surface electrode by 29.09%. Further, it was observed that the average energy increases with increase in the contact surface area. This work appears to be of high clinical significance since the accurate measurement of EGG signals without loss in its information content, is highly useful for the design of diagnostic assistance tools for automated diagnosis and mass screening of digestive disorders.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Rényi Entropymentioning

confidence: 99%

Effect of electrode contact area on the information content of the recorded electrogastrograms: An analysis based on Rényi entropy and Teager-Kaiser Energy

Alagumariappan

Krishnamurthy

Kandiah

et al. 2017

Polish Journal of Medical Physics and Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…Activity represents the measurement of variance or the average power of an EGG signal. Activity is given as follows [23]:…”

Section: Hjorth Parametersmentioning

confidence: 99%

Diagnosis of Type 2 Diabetes Using Electrogastrograms: Extraction and Genetic Algorithm–Based Selection of Informative Features (Preprint)

Alagumariappan¹,

Krishnamurthy²,

Kandiah³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

BACKGROUND Electrogastrography (EGG) is a non-invasive electrophysiological measurement procedure followed to measure the frequency and promptness of gastric myoelectrical activity, which is normally considered to investigate the mechanisms of human digestive system. Diabetes can cause alterations in the process of digestion. OBJECTIVE The objective of this work is to extract and select potential informative features from recorded normal and diabetic electrogastrograms for diagnosis of diabetes using EGG signals. METHODS In this work, a total of thirty features of electrogastrograms measured from normal subjects and diabetic cases, were extracted. Further, twenty potential informative features were selected using Genetic Algorithm assisted feature selection process. The extracted features were analyzed for further classification of normal and diabetic EGG signals. RESULTS Results demonstrate that there are distinct variations between the EMG signals recorded from normal subjects and diabetic patients. The investigations reveal that the features namely Maragos fractal dimension and Hausdorff’s box-counting fractal dimension have high degree of correlation with the mobility of normal and diabetic electrogastrograms. CONCLUSIONS Based on the analysis on the extracted features, it is seen that the selected features are suitable for the design of automated classification systems for classification of normal and diabetic cases.

show abstract

Analysis of Influence of Yoga-Asana on the Digestive Process Using Electrogastrograms

Alagumariappan

Jamal

Cosson

et al. 2021

Proceedings of the International Conference on Computing and Communication Systems

View full text Add to dashboard Cite

Complexity Analysis on Normal and Abnormal Electrogastrograms Using Tsallis Entropy

Cited by 13 publications

References 13 publications

Effect of electrode contact area on the information content of the recorded electrogastrograms: An analysis based on Rényi entropy and Teager-Kaiser Energy

Effect of electrode contact area on the information content of the recorded electrogastrograms: An analysis based on Rényi entropy and Teager-Kaiser Energy

Diagnosis of Type 2 Diabetes Using Electrogastrograms: Extraction and Genetic Algorithm–Based Selection of Informative Features (Preprint)

Analysis of Influence of Yoga-Asana on the Digestive Process Using Electrogastrograms

Contact Info

Product

Resources

About