The advanced technology of computing system was followed by the rapid improvement of medical instrumentation and patient record management system. The typical examples are hospital information system (HIS) and picture archiving and communication system (PACS), which computerized the management procedure of medical records and images in hospital. Because these systems were built and used in hospitals, doctors out of hospital have problems to access them immediately on emergent cases. To solve these problems, this paper addressed the realization of system that could transmit the images acquired by medical imaging systems in hospital to the remote doctors' handheld PDA's using CDMA cellular phone network. The system consists of server and PDA. The server was developed to manage the accounts of doctors and patients and allocate the patient images to each doctor. The PDA was developed to display patient images through remote server connection. To authenticate the personal user, remote data access (RDA) method was used in PDA accessing the server database and file transfer protocol (FTP) was used to download patient images from the remove server. In laboratory experiments, it was calculated to take ninety seconds to transmit thirty images with 832×488 resolution and 24 bit depth and 0.37 Mb size. This result showed that the developed system has no problems for remote doctors to receive and review the patient images immediately on emergent cases.

The present study proposed methods of preventing diseases, controlling chronic degenerative diseases and promoting health, which are major concerns of sports medicine. In the proposed methods, we analyzed wu-shu trainees' physical activities scientifically and quantitatively. The amount of physical activities was measured using SenseWear-PRO2-Armband developed by Body-Medai Company. The armband includes skin temperature sensor, skin surface temperature sensor, accelerometer, thermal diffusion sensor, and galvanic skin reaction sensor. Obtained data were recorded in the armband. Recorded data were analyzed using InnerView Wearer Software in terms of skin temperature, calorie consumption and the amount of physical activities. According to the results, those had continued exercise for a long time consumed a lot of energy in a short time, and intensive physical activities increased energy consumption and, at the same time, raised temperature. In addition, our experiment showed that the increase of energy consumption also raised skin temperature, which in turn caused heat flux. What is more, skin conduction appeared not to be affected by factors such as physical activity, energy consumption and skin temperature. The results of this research may provide information useful for preventing cardiovascular diseases, controlling chronic degenerative diseases and ultimately managing health through activating physiological metabolism.

In this paper, we propose a method for determining degree of malignancy on digital mammograms using artificial intelligence deep learning. Digital mammography is a technique that uses a low-energy X-ray of approximately 30 KVp to examine the breast. The goal of digital mammography is to detect breast cancer in an early stage by identifying characteristic lesions such as microcalcifications, masses, and architectural distortions. Frequently, microcalcifications appear in clusters that increase ease of detection. In general, larger, round, and oval-shaped calcifications with uniform size have a higher probability of being benign; smaller, irregular, polymorphic, and branching calcifications with heterogeneous size and morphology have a higher probability of being malignant. The experimental images for this study were selected by searching for "mammogram" in the NIH database. The images were converted into JPEG format of 256 X 256 pixels and saved. The stored images were segmented, and edge detection was performed. Most of the lesion area was low frequency, but the edge area was high frequency. DCT was performed to extract the features of the two parts. Similarity was determined based on DCT values entered into the neural network. These were the findings of the study: 1) There were 6 types of images representing malignant tumors. 2) There were 2 types of images showing benign tumors. 3) There were two types of images demonstrating tumors that could worsen into malignancy. Medical images like those used in this study are interpreted by a radiologist in consideration of pathological factors. Since discrimination of medical images by AI is limited to image information, interpretation by a radiologist is necessary. To improve the discrimination ability of medical images by AI, extracting accurate features of these images is necessary, as is inputting clinical information and accurately setting targets. Study of learning algorithms for neural networks should be continued. We believe that this study concerning recognition of cancer on digital breast images by AI deep learning will be useful to the radiomics (radiology and genomics) research field.

Exercise is very important element for successful aging. Among many sports events, Korea is the suzerain of Taekwondo. When competing (Taekwondo Free Fighting) after learning Poomse as basic movements and inuring them, people compete with movements depending on situation. Among Poomses of Taekwondo, Taegeuk Poomse consists of very basic movements from 1 Jang to 8 Jang and they are for inuring to body. In order to prescribe Taegeuk Jang, which is the basic movement of Taekwondo that Korea is the suzerain, as an exercise for successful aging, it is necessary to analyze physical activity level of each Taegeuk Jang (From 1 Jang through 8 Jang) and suggest the same. Therefore, in this study, I analyzed physical activity level of each Jang of Taegeuk Poomse by attaching Armband made by Body Media Company on brachia and legs below knee of Taekwondo trainees. The result of the analysis of the whole momentum from Taegeuk 1 Jang to 8 Jang is as follows: First, the average absolute value of acceleration variation of vertical direction signal (L-MAD): 5.15. Second, the average absolute value of acceleration variation of horizontal direction signal (T-MAD): 3.44. Finally, the average of calorie consumption per minute (AEE/Min): 5.06 Cal. The obtained result corresponds to proper exercise condition for successful aging and it can be utilized as data for exercise prescription for the young and the old.

This study measured and analyzed the amount of exercise in performing the basic pumsae of taekwondo, namely, taegeuk pumsae Chapter 1 through 8 using an accelerometer, calculated energy consumption from the amount of exercise, and proposed it as an indicator of exercise prescription for successful aging. We attached an accelerometer armband to 39 subjects of the experiment (28 males and 11 females) and had them perform taekwondo basic pumsae, namely, taegeuk pumsae Chapter 1 through 8. Sampled data were peak transverse acceleration (PAT), peak longitudinal acceleration (PAL), mean heat emission (HFA), mean skin temperature (STA), mean transverse acceleration (TAA), mean longitudinal acceleration (LAA), ambient temperature (CTA), the mean of the absolute value of variation in transverse acceleration (TMAD), the mean of the absolute value of variation in longitudinal acceleration (LMAD), steps per minute (SPM), skin conductivity (GSR), and energy consumption per minute (EE), and the sampling rate was one per second. In the results of analyzing acquired data with regard to the amount of physical activities and energy consumption of taegeuk pumsae, the mean TMAD was 7.83, the mean LMAD was 6.92, and the mean EE was 4.08. When taegeuk pumsae Chapter 1 through 8 was performed, energy consumption was around 120~210 cal.