Peng Chenglin

Improved Morphological Edge Detection Algorithm for Ultrasound Heart Ventricular Wall Image in the Motion of Its Rotation

Ultrasound imaging technology is an effective means of medical diagnosis without wound. The function of viscera is estimated through its locomotor track. To the technology of computer assistant processing and analysis for ultrasound images, the key step is segmenting the edges of tissues accurately. An improved edge detection operator is proposed in this paper for the ultrasound images of cardiac ventricular wall with strong noises and fuzzy edges detected in the motion of their rotation. The algorithm modified the combination of morphological operations, so that the unclear edges of images are avoided. Furthermore, multi-structure elements were also introduced which can reserve integrated edges from different directions of the images. Experiments demonstrate that this edge detector has a better performance on the edge detection of ventricular wall. It can not only keep the edges more accurate than traditional edge detectors, but also satisfy the request of coherent ventricular wall in the analysis of Ultrasound heart images.

A Novel Remote Controlled Capsule for Human Drug Absorption studies

Remote Controlled Capsule (RCC) is a new method to realize non-invasive drug delivery to the selected sites of human gastro-intestinal (GI) tract. With RCC, Human Drug Absorption (HDA) studies are taken easily to obtain data on the intestinal absorption of a drug in humans. In this paper, a new RCC system has been designed based on MEMS technology to provide for the delivery of a wide range of different drug formulations, for example, solution, powder and granulate, into any region of the gut. A magnetic Marker Monitoring (MMM) system was developed to monitor the location of the capsule inside the gut. A novel method to indicating the drug release, called as Indicating System based on Abrupt Movement of Marker (ISAMM), was proposed in this study. High reliability of the RCC system has been proved by animal experiments.

Based on Ontology : Construction and application of Medical Knowledge Base

The organization of medical knowledge is the key element of medical knowledge engineering. In the recent, as the effective method of medical knowledge organization, ontology is widely used in many fields. Thus, ontology provides a fundamental framework for the development of semantic web and artificial intelligence. This paper presents a building method for medical knowledge base. According to the approach, we established an ontological structure including Chinese traditional medical and Western medical ontology. Combining the existent medical knowledge, we have applied NKI Frame language to the system, and built the category of coronary heart disease (CHD) and other relevant categories. Based on the introduction of ontology theory, the author uses Protege 2000 of Stanford, the construction and maintenance tool of ontology, designed and completed medical knowledge based on ontology. At the same time, the system is applied into some medical learning system. Compared with some knowledge organization systems, this system makes much improvement in the key techniques including the feasibility, the expansibility and the reusability. Finally, we draw a conclusion that the system could resolve many problems in the field of medical knowledge engineering.

Time Synchronization in Wireless Physiological Information Sensor Network

Time synchronization is necessary to a wireless sensor network (WSN). Existing time synchronization methods are mostly designed for large scale ad hoc network and are not suitable for small star network like wireless physiological information sensor network (WPISN). In this article we present a simple and power-efficient time synchronization method designed specially for WPISN, reference on demand time synchronization method (RDTS), which employs the near-field magnetic communication (NFMC) technology. NFMC offers significant power, cost, and size advantages over RF communication

A Novel MAC Protocol for Wireless Physiological Information Sensor Network

A wireless physiological information network (WPISN) is used to monitor multiple kinds of physiological information on a patient while allowing the patient to move as usual. In the building of a WPISN, design of communication protocols, especially the MAC protocol, is key to make the whole network work. A novel low power MAC protocol for WPISNs is presented. It avoids power consuming during idle listening, collision and overhearing, thus prolongs the lifetime of a battery-equipped sensor node. Operating time slots can be dynamically adjusted according to different tasks. Also a time synchronization method is designed for the medical center and nodes in a WPISN, providing precise time for MAC protocol implementation.

Research Progress of Subretinal Implant based on Electronic Stimulation

Subretinal prosthesis is one kind of retinal prosthesis, which means that a microimplant based on MEMS technology is inserted in the subretinal space to stimulate the optic nerve and elicit an electrical-evoked response on the cortical region. The subretinal implant is made up of extraocular part and intraocular part. As an important part, the latter consists of accessorial setting and stimulation chip that contains microphotodiode array (MPDA) and microelectrodes. The main body of the paper is made up of four parts. First, the significance of the retinal prosthesis is given out; second, fundamental on both in retinal physiology and retinal prosthesis theory are introduced simply. Then the key segment about the subretinal microimplant is presented in detail. The third segment discusses all of its design concept and the fabrication of MPDA which also consists of several parts: first is microscopic configuration, electric prototype schematic and chip image COMS. The second is detailed fabrication flow with several special materials and the situation of its dimension. The fourth segment presents challenge and outlook

Counter Extraction of Ventricular Wall Based on Fuzzy-C-Means Algorithm for Ultrasound Image in Cardiac Torsion Motion

Image Segmentation plays a vital role in the quantitative analysis of medical ultrasound images, but the complexity of the ultrasound images makes it difficult to segment them accurately. A contour extraction algorithm based on Fuzzy-C-Means is proposed in this paper for the ultrasound images of cardiac ventricular wall with strong noises and fuzzy edges detected in the motion of heart torsion. This algorithm firstly constructs multiple features of pixels such as gray, gradient, location values to be clustering samples. By calculating the distances between the pixels and the ventricular center of gravity, the algorithm can make best use of the location features of the pixels within the ventricle effectively. And then the optimal threshold is chosen automatically to segment the image, which is worked out from FCM clustering center. Finally, the area extraction and contour tracking to the segmented ventricle are done by the contour tracking algorithm. Experiments results demonstrate that this method has a better performance on the image segmentation of ventricular wall. It can not only keep the edges more accurate, but also satisfy the request of coherent ventricular wall in the analysis of ultrasound heart images.

The Study of an Exercise EGG Data Examine System

This paper introduced the development of an exercise electrocardiograph (ECG) data acquisition system which based on the treadmill exercise. The system consisted of treadmill, data acquisition box, and supervisory personal computer work station. The foremost characteristic of this system is that when we used treadmill to bring exercise stress, operator could control the resistance moment with the button on the data acquisition box or instruction from the supervisory controlled computer software and reduced or increased the work quantity of subject. The acquired ECG data and isochronous work quantity could be displayed, storaged, analyzed and played back on the computer. The data acquisition box would communicate with supervisory controlled computer via USB interface. For the demand of sickroom bed-side examination and data transmission, we even designed a data storage system with SD card for this system; it would storage the data into the SD card independently without computer. Besides, the acquisition box has the excellence of multifunctional, expandable and anti-jamming. As we perfecting the supervisory controlled computer software, the system could accomplish Holter examination, clinical 12-leads synchronous ECG examination, etc; it would satisfy the requirement of clinical ECG examination furthest.

Visualizing the Regenerated Peripheral Nerve In vivo and In vitro

The morphological changes of regenerated peripheral nerve fibers after injury are closely related with its function recovery. Knowledge of the characteristics of regenerated peripheral nerve on histological level, even that on the molecular level is important for the studies of peripheral nerve regeneration. Here, we present some new methods not only for visualizing the three-dimensional (3D) microstructure and ultrastructure of regenerated nerve fibers in vivo, but also for visualizing the subcellular spatial distribution of mRNA of nerve growth factor (NGF) in living Schwann cells in vitro. The proposed methods should prove to be a valuable tool for investigating the morphological characteristics of regenerated peripheral nerve fibers, as well as the spatio-temporal patterns of gene activity in peripheral nerve injury and regeneration

Using átuous Algorithm and Modulus Maximum Lines to Detect R-wave of ECG Signal

The R-wave of ECG signal represents the electrical activation of the ventricles, which initiates ventricle contraction, and it belongs to the typical peak value singular signal. An effective way of detecting R-wave in QRS complex of ECG based on alpha tuous algorithm and modulus maximum lines are presented in this paper. alpha tuous algorithm doesnt need down sampling and up sampling when in decompose and reconstruction, so it increases the R-wave orientation precision; modulus maximum lines can improve the detection speed dramatically. Experiment shows that, this method can easily realize the accurate orientation and real-time detection of R-wave. Due to its simplicity it could be feasible in a real-time testing or clinical heart rate screening