• Title/Summary/Keyword: Digital Disease

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A Case of Cold Hypersensitivity from Hypothyroidism of Soeumin Diagnosed as Greater Yang Disease Reverting Yin Pattern (소음인 태양병궐음증으로 진단한 갑상선 기능저하증으로 인한 수족냉증 치험 1례)

  • Lee, Yong-jae;Lee, Seul;Kim, So-hyoung;Lee, Jeongyun;CHAE, Han
    • Journal of Sasang Constitution and Immune Medicine
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    • v.31 no.1
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    • pp.102-112
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    • 2019
  • Objectives The purpose of this case study was to report that cold hypersensitivity caused by hypothyroidism was alleviated by diagnosing and treating as Greater Yang Disease Reverting Yin Pattern. Methods The patient was administered Insamosuyu-tang and Sammisamyu-tang and treated with acupuncture. Global Assessment Scale (GAS) and Digital Infrared Thermal Imaging (DITI) was used to assess the improvements of symptoms. Results and Conclusions Cold hypersensitivity of hands and feet was improved to GAS 20, and hours of sleep were increased from one to six. On DITI, the increase of the temperature were 1-3 degree celsius on the chest and the abdomen, 0.2-1 degree on the forearms and the hands, 1-2 degree on the thighs, and 0.2-0.5 degree on the shins and the feet.

Risk Factors for Sarcopenia, Sarcopenic Obesity, and Sarcopenia Without Obesity in Older Adults

  • Kim, Seo-hyun;Yi, Chung-hwi;Lim, Jin-seok
    • Physical Therapy Korea
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    • v.28 no.3
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    • pp.177-185
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    • 2021
  • Background: Muscle undergoes change continuously with aging. Sarcopenia, in which muscle mass decrease with aging, is associated with various diseases, the risk of falling, and the deterioration of quality of life. Obesity and sarcopenia also have a synergy effect on the disease of the older adults. Objects: This study examined the risk factors for sarcopenia, sarcopenic obesity, and sarcopenia without obesity and developed prediction models. Methods: This machine-learning study used the 2008-2011 Korea National Health and Nutrition Examination Surveys in the analysis. After data curation, 5,563 older participants were selected, of whom 1,169 had sarcopenia, 538 had sarcopenic obesity, and 631 had sarcopenia without obesity; the remaining 4,394 were normal. Decision tree and random forest models were used to identify risk factors. Results: The risk factors for sarcopenia chosen by both methods were body mass index (BMI) and duration of moderate physical activity; those for sarcopenic obesity were sex, BMI, and duration of moderate physical activity; and those for sarcopenia without obesity were BMI and sex. The areas under the receiver operating characteristic curves of all prediction models exceeded 0.75. BMI could predict sarcopenia-related disease. Conclusion: Risk factors for sarcopenia-related diseases should be identified and programs for sarcopenia-related disease prevention should be developed. Data-mining research using population data should be conducted to enhance the effectiveness of early treatment for people with sarcopenia-related diseases through predictive models.

Digital Fractional Order Low-pass Differentiators for Detecting Peaks of Surface EMG Signal (표면 근전도 신호 피이크 검출을 위한 디지털 분수 차수 저역통과 미분기)

  • Lee, Jin;Kim, Sung-Hwan
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.7
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    • pp.1014-1019
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    • 2013
  • Signal processing techniques based on fractional order calculus have been successfully applied in analyzing heavy-tailed non-Gaussian signals. It was found that the surface EMG signals from the muscles having nuero-muscular disease are best modeled by using the heavy-tailed non-gaussian random processes. In this regard, this paper describes an application of digital fractional order lowpass differentiators(FOLPD, weighted FOLPD) based on the fractional order calculus in detecting peaks of surface EMG signal. The performances of the FOLPD and WFOLPD are analyzed based on different filter length and varying MUAP wave shape from recorded and simulated surface EMG signals. As a results, the WFOLPD showed better SNR improving factors than the existing WLPD and to be more robust under the various surface EMG signals.

DNA Inspired CVD Diagnostic Hardware Architecture (DNA 특성을 모방한 심혈관질환 진단용 하드웨어)

  • Kwon, Oh-Hyuk;Kim, Joo-Kyung;Ha, Jung-Woo;Park, Jea-Hyun;Chung, Duck-Jin;Lee, Chong-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.2
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    • pp.320-326
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    • 2008
  • In this paper, we propose a new algorithm emulating the DNA characteristics for noise-tolerant pattern matching problem on digital system. The digital pattern matching becomes core technology in various fields, such as, robot vision, remote sensing, character recognition, and medical diagnosis in particular. As the properties of natural DNA strands allow hybridization with a certain portion of incompatible base pairs, DNA-inspired data structure and computation technique can be adopted to bio-signal pattern classification problems which often contain imprecise data patterns. The key feature of noise-tolerance of DNA computing comes from control of reaction temperature. Our hardware system mimics such property to diagnose cardiovascular disease and results superior classification performance over existing supervised learning pattern matching algorithms. The hardware design employing parallel architecture is also very efficient in time and area.

Security Structure for Protection of Emergency Medical Information System (응급의료정보시스템의 보호를 위한 보안 구조)

  • Shin, Sang Yeol;Yang, Hwan Seok
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.8 no.2
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    • pp.59-65
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    • 2012
  • Emergency medical information center performs role of medical direction about disease consult and pre-hospital emergency handling scheme work to people. Emergency medical information system plays a major role to be decreased mortality and disability of emergency patient by providing information of medical institution especially when emergency patient has appeared. But, various attacks as a hacking have been happened in Emergency medical information system recently. In this paper, we proposed security structure which can protect the system securely by detecting attacks from outside effectively. Intrusion detection was performed using rule based detection technique according to protocol for every packet to detect attack and intrusion was reported to control center if intrusion was detected also. Intrusion detection was performed again using decision tree for packet which intrusion detection was not done. We experimented effectiveness using attacks as TCP-SYN, UDP flooding and ICMP flooding for proposed security structure in this paper.

A Digital Signal Processing System for Analysis of Skeletal Muscle EMG Signal (골격근의 근전도 신호 분석을 위하 디지탈 신호처리 시스템의 설계)

  • 전철완
    • Journal of Biomedical Engineering Research
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    • v.17 no.2
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    • pp.155-164
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    • 1996
  • In the clinical environment, measurements of some characteristics of the skeletal muscle are currently used to assess the severity of a neuromuscular disease or in some cases to assist in making a diagnosis. But a quantitative method of evaluation has not yet been introduced satisfactorily. In this paper, the skeletal EMG(biceps muscle, masseter muscle) analysis has been processed both in the time and in the frequency domain by designing the digital signal processing system based on pentium PC and transputer (IMS 7805). The experiment have been performed in five normal subjects, and various parameters have been statistically tested and compare4 As a results, the effective parameters obtained for the evaluation of skeletal EMG electrical activity are turn analysis, MiTi, MiTa, IEMG, PDF in the time domain, and are mean frequency, median frequency, skewness, kurtosis, muscle fatigue slope in the frequency domain. The designed H/W and S/W in this study can be used effectively for the establishment of EMG data base and for clinical research.

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Understanding of Perfusion MR Imaging (관류자기공명영상의 이해)

  • Goo, Eun-Hoe
    • Korean Journal of Digital Imaging in Medicine
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    • v.15 no.1
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    • pp.27-31
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    • 2013
  • Perfusion MR imaging is how to use exogenous and endogenous contrast agent. Exogenous perfusion MRI methods which are dynamic susceptibility contrast using $T2^*$ effect and dynamic contrast-enhanced using T1 weighted image after injection contrast media. An endogenous perfusion MRI method which is arterial spin labeling using arterial blood flow in body. In order to exam perfusion MRI in human, technical access are very important according to disease conditions. For instance, dynamic susceptibility contrast is used in patients with acute stroke because of short exam time, while dynamic susceptibility contrast or dynamic contrast enhancement provides the various perfusion information for patients with tumor, vascular stenosis. Arterial spin labeling is useful for children, women who are expected to be pregnant. In this regard, perfusion MR imaging is required to understanding, and the author would like to share information with clinical users

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Symmetrical Digital Gangrene Resulting from Vasopressor Usage for the Treatment of Septic Shock: Case Reports (패혈성 쇼크의 치료를 위한 승압제 사용 후 발생한 양측 사지 괴사: 증례 보고)

  • Song, Jae Hwang;Heo, Youn Moo;Oh, Byung Hak;Cha, Hyun Jae
    • Journal of Korean Foot and Ankle Society
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    • v.23 no.4
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    • pp.196-200
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    • 2019
  • Symmetrical Digital Gangrene (SDG) is characterized by the sudden onset of peripheral, symmetrical gangrene in the absence of any major vascular occlusive disease. Catecholamine inotropes are frequently used for the treatment of septic shock combined with an unstable hemodynamic state, and their usage can rarely induce SDG. There is no standard treatment for the SDG. Early recognition and prompt management of sepsis and expeditious process of weaning off of the inotropes are necessary to prevent progression of SDG. To the best of our knowledge, this is the first report in Korea regarding the treatment of SDG induced by catecholamine inotropes.

A Study on Estimate Vascular Compliance using Acceleration Photoplethymogram (가속도 맥파를 이용한 혈관탄성 추정에 관한 연구)

  • Lee, Chung-Luyl;Kim, Kyung-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.6
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    • pp.840-844
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    • 2013
  • In this study, we try to estimate vascular compliance for management vascular disease. Because It is known the vascular compliance represents the state of the blood vessels. In general, the vascular compliance is estimated using an acceleration photoplethymogram from measured by photoplethymogram-based. The acceleration photoplethymogram is come from second derivative of photoplethymogram. By using the acceleration photoplethymogram, we can estimating vascular compliance, vascular age, vascular state. In this study, for measuring acceleration photoplethymogram we have developed a measurement device having analog filters. It has the advantage of miniaturization, low-power because it is simpler than digital filters. Using the developed device, we have estimated vascular compliance and tested the reliability of our device compare with conventional device having digital filters. As a result.

A Lifelog Common Data Reference Model for the Healthcare Ecosystem (디지털 헬스케어 생태계 활성화를 위한 라이프로그 공통데이터 참조모델)

  • Lee, Young-joo;Ko, Yoon-seok
    • Knowledge Management Research
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    • v.19 no.4
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    • pp.149-170
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    • 2018
  • Healthcare lifelog, a personal record relating to disease treatment and healthcare, plays an important role in healthcare paradigm shifts in which medical and information technology converge. Healthcare services based on various healthcare lifelogs are being launched domestically by both large corporations and small and medium enterprises, however, they are being built on an individual platform that is dependent on each company. Therefore, the terms of lifelog data are different as well as the measurement specifications are not uniform. This study proposes a reference model for minimum common data required for sharing and utilization of healthcare lifelog. Literature study and expert survey derived 3 domain, 17 essential items, and 51 sub-items. The model provides definition, measurement data format, measurement method, and precautions for each detailed measurement item, and provides necessary guidelines for data and service design and construction for healthcare service. This study has its significance as a basic research supporting the activation of ecosystem by ensuring interoperability of data between heterogeneous healthcare devices linked to digital healthcare platform.