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- 발행기관 : IEEE Service Center (검색결과 6 건)
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Home healthcare settop-box for Senior Chronic Care using ISO/IEEE 11073 PHD standard.
Lim, Joon-Ho,Park, Chanyong,Park, Soo-Jun IEEE Service Center 2010 Conference proceedings Vol.2010 No.-
<P>As the number of seniors with chronic disease increases, the need of home healthcare settop-box is increased to manage their chronic disease in their home environment. Using the home healthcare settop-box, the patients can regularly check their health data, and finally, it can lead the decrease of medical expenses. For the home healthcare settop-box, the most important factor is the standard compatibility, which can interoperate with standard devices of any other companies. In this paper, we propose a home healthcare settop-box using ISO/IEEE 11073 PHD standard. It collects health data according to the PHD standard, and provides a chronic-care service based on the collected data. The proposed settop-box is connected with 3 devices of weigh scale, blood pressure monitor, and glucose meter, and tested at 10 homes for a month. Lastly, the proposed settop-box can be used for various healthcare services such as Google Health and Telemedicine Services using a healthcare platform server.</P>
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Analysis of EEG to quantify depth of anesthesia using Hidden Markov Model.
Kim, Junbeom,Hyub, Huh,Yoon, Seung Zhoo,Choi, Ho-Jin,Kim, Kwang Moo,Park, Sang-Hyun IEEE Service Center 2014 Conference proceedings Vol.36 No.-
<P>Real-time quantification of the patient's consciousness level during anesthesia is an important issue to avoid intraoperative awareness and post-operative side effects. A depth-of-anesthesia (DoA) monitoring method called Bispectral Index (BIS) is generally used for this purpose. However, BIS is known to be inaccurate at the transitory state, and also shows a critical time delay in quantifying the patient's consciousness level. This paper introduces a novel method to reduce the response time in the quantification process. This thesis develops a new index called HDoA by analyzing EEG using Hidden Markov Model. The proposed approach is composed by two steps, training and testing. In the training step, two HMM, awakened and anesthetized model are learned based on each training set. In the testing step, by evaluating the probability of producing the testing EEG from two models respectively, the index HDoA is derived. Since the evaluation of DoA using HMM is training based method, it have better performance with more training process. Experiments show that HDoA has a high correlation with BIS at a steady state, and outperforms BIS in two ways: (1) shorter delay time in transition state, and (2) higher Fisher Score. The validity of HDoA has been tested by 8 real clinical data.</P>
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Image resolution improvement based on sinogram super-resolution in PET.
Jeong, Kye Young,Choi, Kyuha,Nam, Woo Hyun,Kim, Ji Hye,Ra, Jong Beom IEEE Service Center 2010 Conference proceedings Vol.2010 No.-
<P>One of the limits of PET imaging is the low spatial resolution due to a predetermined detector width. To overcome this limit, we may increase the number of samples by using the wobbling motion. Since the line spread function (LSF) of the sinogram is determined by the detector width, however, the increase of the number of samples is not sufficient to improve the sinogram resolution. In this paper, based on oversampled data obtained from the wobbling motion, we propose a novel and efficient super-resolution (SR) scheme for the sinogram. Since the proposed SR scheme adopts the penalized expectation maximization (EM) algorithm, it guarantees non-negative values of the super-resolved sinogram data. Through the experiments, we demonstrate that the proposed SR scheme can noticeably improve the spatial image resolution.</P>
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Yousang Yoon,Sunki Cho,Seonil Kim,Eunsuk Choi,Rae-Kwon Kim,Su-Jae Lee,Onejae Sul,Seung-Beck Lee IEEE Service Center 2014 Conference proceedings Vol.36 No.-
<P>We report on a microfluidic trap array that separates and captures circulating tumor cells (CTCs) from whole blood. The device is a series array of microfluidic branches that utilizes the difference in flow rates between the bypass channel and the trap channel to allow CTCs in whole blood to be separated and trapped. Once a trap has captured a cell with diameter larger than the narrow trap outlet, additional cells arriving at the branch would flow towards the bypass channel due to its lower flow resistance. Results demonstrated that it was possible to capture CTCs from the whole blood of a mouse with full-blown metastasis. With further developments, the bypass integrated microfluidic trap array could become a useful tool for the early prognosis of cancer metastasis.</P>
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Modeling the human body shape in bioimpedance vector measurements.
Kim, Chul-Hyun,Park, Jae-Hyeon,Kim, Hyeoijin,Chung, Sochung,Park, Seung-Hun IEEE Service Center 2010 Conference proceedings Vol.2010 No.-
<P>Human body shape, called somatotype, has described physique of humans in health and sports applications, relating anthropometric measurements to fatness, muscularity and linearity in a structured way. Here we propose a new method based on bioelectric impedance vector analysis (BIVA) of R/H and Xc/H to represent the cross-sectional area and the body cell mass in a given surface area (m(2)) respectively. Data from six gymnasts, ten dancers, and five fashion models, groups whose physiques and BMI ranges were distinct from one another, were measured for somatotype and BIVA. The models had highest values of the R/H and gymnasts the lowest. Xc/H was lower in models than in the dancers and gymnasts (p??.05). Phase angle was lowest in the models and highest in gymnasts significantly (p??.05). Pattern analysis from BIVA corresponded to the calculated anthropometric somatotype supporting the hypothesis that BIA's resistance (R) and reactance (Xc) are meaningful discriminates of body size and function which relate to physique in a purposive way.</P>
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Implementation of array sensor module for a radial artery tonometry.
Shin, Ki Young,Jeon, Sung Chae,Nam, Ki Chang,Huh, Young IEEE Service Center 2010 Conference proceedings Vol.2010 No.-
<P>In this study, we developed an array sensor module to measure pulse wave of radial artery. To measure pressure, this module contains 7 piezoresistive sensors of the size of 1×1 mm. This sensor module is composed of a PCB for bonding sensor, PCB guide for wiring, silicon guide to keep its shape while PDMS coating, and PDMS layer protect fragile sensor and wire while faithfully transmitting the pressure of the patient's skin to the sensor. To test characteristic of pressure sensors in the sensor module, intra-chamber pressure was raised in 20mmHg step from 60mmHg to 220mmHg. The coefficient of determinant was r(2)>0.999. When the radial artery's pulse wave with developed sensor module was measured, pulse wave is clearly detected. In this study, developed array sensor module is appropriate to measure pulse wave.</P>
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