Gastrointestinal Multiple Medical Informations Measured By Noninvasive Radiotelemetry System And Gastrointestinal Motility Analysis

Gastrointestinal (GI) medical informations which can refect the pathologic changes of GI dysmolities are crucial for early diagnose and prophylactic treatment of digestive system diseases. Popularly adopted apparatus attaining GI medical informations on cilinic for diagnosis of gastrointestinal dysmotilities needed special treatment before experiment, such as bowel cleansing or fasting, etc. Thus, the methods results in much pain to the sufferers. Moreover, the attained medical informations were acquired under the abnormal physiological conditions. So the docotors cannot make accurate diagnose and precision therapy to the GI disorders. Moreover, they cannot evaluate GI motility according to the scientific, all-sided and objective informations. GI multiple medical informations radiotelemetry system has been paid much attention by some researchers in the field of the GI motility. Under the National High Technology Research and Development Program of China (863 program), the supports of the National Natural Science Foundation of China (NSFC) and the Shanghai Science and Development Commission Foundation, the paper have developed a noninvasive radiotelemetry system for human GI medical informations, have performed amount of clinical trails, and have undergone dynamics analysis on with the aim to deeply learn about the characters of GI molitility. The paper anticipated further promotions to relations of physiological parameters, inspections of GI motility disorders, and constructions of digitalized medical information archives.The GI multiple medical informations and noinvasive radiotelemetry system was developed which composed of physiological parameters radiotelemetry capsule, in vitro pocket data logger, location device and an in vitro data processing station. Physiological parameters radiotelemetry capsule is the key part of the whole system. According to operation principle, composition structure and performances, the method to develop high accurancy and high reliability radiotelemetry capsule was stated. Then, the operation principle and basic functions of in vitro pocket data logger were introduced, and the performances and technical characteristics were analyzed. Three location techniques were utilized to provide the position information of radiotelemetry capsule in GI tract. Measurement precision is very vital for the radiotelemetry capsule, so high precision calibration devices were disigned. Moreover, the RBF neural network based on immune theory was employed to build compensation model. GI multiple medical informations analysis software was developed based on VC++ and matlab. Finnaly, a survey of clinical trials were introduced, and the basic statistic characeters of the attained medical informations were stated.The key problems in wireless communicaiton of the radiotelemetry system were studied. According to the working enviroment of the radiotelemetry system, the communicaiton speciality and complexity were analyzed. The key problems to be solved were also proposed. Firstly, the wireless communication was designed to ensure reliable communication in detail. Secondly, three types of radiotelemetry capsule antenna were proposed based on 3D digital body model and FDTD method. Finnally, radiation characters of the line gyral antenna at the four representative locations of the alimentary canal were studied. The radiation patterns at different positions of the alimentary canal are obviously different due to the different organs and tissues surrounding the antenna. It was also noted that the magnitude of electric fields in the anterior direction is greater than other directions. The attenuation casused by organs and tissues surrounding the antenna was -20~-55dB. Finally, the maximum delivered power for the designed antenna was found. Moreover, we found that the majority of the electromagnetic energy was absorbed by the tissues or organs surrounding the antenna.Detection of gastric motility is important in clinical gastroenterology, as well as in gastroenterological research. The gastric pressure data detected by the radiotelemetry capsule composed of different components. For solving the problem, the automated embedding phase space reconstruction algorithm and fast independent component analysis technique were employed to identify the pressure components caused by stomach peristalsis. The fact that the pressure data during different phases have distinct types of attractors was found. Then we separated out the dominant components of pressure series during different phases successfully by the high order statistics characteristics of the FastICA algorithm. Furthermore, the marginal spectrum of the dominant components during different phases shows different time-frequency features which have diagnostic value. The results suggest that the proposed approach is an effective approach for the identification of the gastric pressure data. There is a 3cpm dominant frequency during gastric digestive period. Results indicates that the gastric dominant pressure activity during phaseâ…¡has few continuous and strong contractions, but still exists continuous and low amplitude pressure changes. The dominant pressure activity during phaseâ…¢mainly composed of continuous and strong contractions with frequency 3cpm and one harmonic frequency 12cpm.Colon has many complicated motion patterns. Furthrmore, the pressure information of colon is chaotic, time-varying and non-stational. So it is hardly to attain satisfactory results using typical stational analysis method. Information entropy in different domain are calculated as non-stational features, including singular spectrum entropy, power spectrum entropy, wavelet energy spectrum entropy and wavelet space feature entropy. The classification results show that the information entropy effects of time-frequecy domain is more important than time domain and frequency domain. Finnally, the application studies on the information entropy feature extraction and fusion method is proposed on the colon motility diagnosis model. The effective recognition of the different colon motility is realized by the information entropy and fusion diagnosis, which indicates that the proposed information entropy and fusion model is effective. Further analysis show that the information entropy features in time domain and frequency domain is effective supplements for the information entropy in time-frequency domain.The structure, performance, precision etc. of the GI multiple medical information noninvasive radiotelemetry system were deeply studied. The a few features of GI motility were analyzed based on the clinical data, which provides the scientific basis for the further study of GI motility mechanism. The detection and analysis of the GI medical information still has many unkown fields. The activeness of the system, location precision of the radiotelemetry capsule and analysis method of the medical information should be studied in the future.