Research On A Non-invasive Gastro-intesinal Motility Inspecting System And Its Clinic Experiments

Gastrointestinal (GI) motility is an important physiologyical function of alimentary system. Effective research of gastrointestinal motility depends on the monitoring and analysis of gastrointestinal motility parameters. By now, there exists no method to long-time and dynamically monitor gastrointestinal motility parameters under normal physiological conditions. As a result, the gastrointestinal motility parameters under normal physiological condition and the laws have not been comprehensively found. There also isn't a commonly accepted'golden rule'to evaluate the human GI motility. Current analyzing methods of this kind physiological signal are also inadequate for realizing such a goal. Under the support of National Natural Science Foundation of China and The National High Technology Research and Development Program of China (863 program), this paper researched a non-invasive method for GI motility parameters monitoring under normal physiological conditions, trying to solve the problem of long-time and dynamically gastrointestinal motility parameter monitoring. The aim was to provide an effective approach for GI motility research and a quantitative basis for diagnoses of GI motility disorders. Furthermore, made study on methods of auto processing, feature extraction, classification of the pressure signal and auto diagnoses of GI motility based on the signal.This paper researched a newly developed electronic capsule to detect pressure and temperature parameters of GI tract, trying to solve the problem in an effective way. This paper introduced the basic theory, design and capsulation of this non-invasive method for GI motility parameters monitoring. After a quantity of clinic experiment, this will provide an effective approach for GI motility research and a quantitative basis for diagnoses of GI motility disorders.Pressure activity data which are an important index of gastric motility can be obtained from the wireless radiotelemetry capsule. But the capsule only records single-dimensional pressure time series which may contain a few interdependent components simultaneously. Automated embedding phase space reconstruction algorithm is employed to reconstruct multi-dimensional phase space. Then the dominant and separated component of the gastric contractions is identified using FastICA algorithm. Finally the use of Hilbert Huang transform method for analyzing the characters of gastric motility is investigated. The results show that the proposed method is an effective approach for the analysis of the gastric pressure series.