Paper Info
Title
Quantification Of Dynamic Gastric Slow Wave Activity Using Recurrence Plots
Abstract
The genesis and maintenance of abnormal or dysrhythmic bio-electrical slow wave activity in the gut is poorly understood. The use of multi-electrode densely spaced electrodes to map in-vivo slow wave activity from the stomach surface provides a renewed understanding of gastric electrophysiology in health and disease. Analysis of the experimental data thus far have typically only utilized linear methods. Nonlinear methods such as the use of recurrence plots could provide key insights into physiological mechanisms. In this paper we applied recurrence analysis to synthetic propagation and experimental data, in cases where the activity was normal, abnormal and transitory. The recurrence plots were quantified using recurrence rate (RR) and diagonal length entropy (DLE). Normal activity had a higher mean RR than dysrhythmic and transition cases (0.08 +/- 0.01 vs 0.03 +/- 0.01 and 0.03 +/- 0.01). Transition cases had a lower mean DLE than dysrhythmic and normal activity (2.16 +/- 0.23 vs 3.30 +/- 0.58 and 3.01 +/- 0.42). The use of recurrence analysis in the gastrointestinal field will allow for a better understanding of normal activity, as well as provide insights into the mechanisms that are involved in initiating, maintaining and terminating dysrhythmic slow wave activity. It could also be used as a novel qualitative and quantitative approach to predict the progression of slow wave activity.
Year
DOI
Venue
2019
10.1109/EMBC.2019.8856679
2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Field
DocType
Volume
Computer vision,Linear methods,Computer science,Internal medicine,Nonlinear methods,Cardiology,Artificial intelligence
Conference
2019
ISSN
Citations 
PageRank 
1557-170X
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Niranchan Paskaranandavadivel169.30
Recep Avci246.54
Leo K Cheng37037.48