• Title/Summary/Keyword: health monitoring/diagnosis

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The Effect of Timing of Primary Surgery on Outcomes of Lumbar Herniated Intervertebral Disc (요추 추간판탈출증 환자의 초기 수술시점이 진료결과에 미치는 영향)

  • Choi, Bo-Ram;Ji, Young-Geon;Shin, Dong-Ah;Om, Young-Jin;Rhie, Dong-Mo;Kang, Hyung-Gon
    • The Korean Journal of Health Service Management
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    • v.8 no.1
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    • pp.151-164
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    • 2014
  • This study was conducted to investigate the effect of timing of surgery on outcomes of spine operated patients for lumbar herniated intervertebral disc. The research design was cohort study and based on the data of claims for the medical expenses of health insurance. 21,475 cases who had primary spine surgery between January 1, and December 31, 2003, observed to conservative treatment period in the past two years from preoperative primary diagnosis to timing of primary surgery. According to one and five year follow up monitoring, the probability of occurrence of reoperation was not statistically significant with preoperative duration of symptom. Also one year follow up, the probability of occurrence of complication, was not statistically significant with preoperative duration of symptom. But five year follow up, groups who had one to two month preoperative duration of symptom decreased complication rate than less than a month(95%CI:0.594-0.927). Thus, from the onset of symptoms of back pain before primary surgery with enough and adequate time observation is required. Also, medical consumers or providers to choose surgery in determining prudence is required.

Obtaining Reference Intervals of HbA1c by Immunoturbidimetry (면역비탁법에 의한 HbA1c의 참고범위 설정)

  • Kim, Jae-Sub;Park, Ki-Hyun;Yu, Sun-Woo;Lee, Bum-Hee
    • Korean Journal of Clinical Laboratory Science
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    • v.41 no.2
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    • pp.62-66
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    • 2009
  • HbA1c is the major fraction of glycated hemoglobin, and used primarily to identify the average plasma glucose concentration over prolonged periods of time, mostly 2-3 months. It is used as markers for the diagnosis and monitoring of diabetic patients and increasingly used a marker in health screening check up for general populations. In this study, HbA1c was measured with Cobas integra 800 (Roche Diagnostics, Mannheim, Germany), using immunoturbidimetry principles. We established the reference interval for HbA1c with Cobas integra 800 and evaluated its significance. The study subjects were 36,140 (male 57.5%, and female 42.2%) who visited the Health Promotion Center of a tertiary care center in Seoul for health checkup from January to September, 2008. HbA1c levels were measured with immunoturbidimetric method. Statistical evaluation was done with SPSS. Comparison between male and female was checked with Mann-Whitney test, and among age groups with Kruskal-Wallis test. Reference interval for HbA1c was from 4.8% to 6.1%. There was no significant difference between male and female with Mann-Whitney test (P=0.539). There was significant difference among age groups with Kruskal-Wallis test (P<0.05). Reference interval for HbA1c with Cobas integra 800 was 4.8~6.1%, which was different from conventional one, 4.4-6.4%. Establishment of reference interval for each principle is needed.

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Relationship between human immunodeficiency virus infection and periodontal disease; diagnosis and management strategy (Human immunodeficiency virus 감염과 치주 질환의 상관관계, 진단 및 처치에 관한 문헌 고찰)

  • Park, Jung-Chul;Um, Yoo-Jung;Jung, Ui-Won;Kim, Chang-Sung;Cho, Kyoo-Sung;Chai, Jung-Kiu;Kim, Chong-Kwan;Choi, Seong-Ho
    • The Journal of the Korean dental association
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    • v.47 no.8
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    • pp.522-533
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    • 2009
  • Purpose: Infection with HIV-1 virus has become a critical worldwide public health problem. The oral complications of HIV infection with its progression of impairment of the host response to combat infection present unique challenges to the periodontists. Material and Methods : Medline research was carried out to find relationship of the progression of HIV infection to the occurrence of oral lesions including the HIV-related periodontal diseases. Results: The linear gingival erythema, necrotizing ulcerative periodontitis, necrotizing ulcerative gingivitis and oral candidiasis are common lesions in HIV-infected individuals. The linear gingival erythema and necrotizing ulcerative periodontitis lesions in HIV-infected subjects were found to have a similar microbiological profile. There are several general considerations in the periodontal management of the HIV-infected patient with or without periodontal disease. The altered immunity and host response in patients with HIV infection may also affect the incidence and severity of other common forms of periodontal disease not associated with HIV infection. Conclusion: Periodontal diseases in HIV-infected individuals present unique challenges in diagnosis, monitoring, treatment and maintenance. Therefore exact HIV staging, geographic location, antiviral and antimicrobial therapies and oral habits should be taken into consideration when treating HIV-infected patients.

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Studies on health management and nutritional evaluation by milk components analysis in Holstein cows IV. The relationship between milk composition from the first test within 35 days in milk and displaced abomasum in a large dairy herd of high yielding Holstein cows (젖소에서 유성분 분석을 통한 영양상태 평가 및 건강관리에 관한 연구 IV. 고능력우 위주의 대규모 목장에서 분만 후 첫 번째 유검정 성적과 제4위전위 질병과의 관련성)

  • Moon, Jin-san;Son, Chang-ho;Joo, Yi-seok;Kang, Hyun-mi;Jang, Gum-chan;Kim, Jong-man
    • Korean Journal of Veterinary Research
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    • v.41 no.3
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    • pp.407-412
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    • 2001
  • Milk data may be increasingly used as indicators of the protein-energy balance and actual farm feeding practices. It was related to milk production, nutritional and reproductive disorders. The purpose of this study was to investigate the relationship between level of fat, protein or milk urea nitrogen (MUN) from the first test within 35 days in milk and displaced abomasum (DA) in a large dairy herd with high yielding Holstein cows. Milk data from forty-five DA cases were compared to those from 90 healthy cows. Higher odds of DA diagnosis was found with higher 5.0% milk fat, lower 3.0% milk protein. Therefore, cows with a fat to protein ratio of>1.5 had higher risks for DA. Also, incidence rates of DA was higher in the cows which the level of MUN was lower than 12.0 mg/dl or higher than 25.0 mg/dl relative to healthy cows. These results indicate that cows diagnosed with DA were energy deficient prior to DA diagnosis. We conclude that level of fat, protein or MUN serve as a monitoring tool of protein and energy nutritional balance in early lactation cows and also as a significant predictor of risk for DA.

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Guided Wave Tomographic Imaging Using Boundary Element Method (경계요소법을 이용한 유도초음파 토모그래피 영상화 기법)

  • Piao, Yunri;Cho, Youn-Ho;Jin, Lianji;Ahn, Bong-Young;Kim, Noh-Yu;Cho, Seung-Hyun
    • Journal of the Korean Society for Nondestructive Testing
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    • v.29 no.4
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    • pp.338-343
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    • 2009
  • Tomography is the imaging method of cross sectional area using multi beam signals and is mainly applied to the medical diagnosis to acquire the image of the inside human body. This method is pretty meaningful in nondestructive evaluation field since the imaging of the inspection region can enhance the comprehension of the inspector. Recently, much attention has been paid to the guided wave for the diagnosis of platelike structures. So, in this work, a study on the imaging of the damage location in a plate was carried out on the basis of computer aided analysis of guided waves and tomographic imaging. To this end, boundary element method was employed to analyze the effect of the damage in plate on the propagation of the guided waves and the analytic results were applied to the tomographic imaging method to identify the damage location. Consequently, it was shown that the number of sensors heavily affect the inspection performance of the damage location.

Prediction of Sleep Stages and Estimation of Sleep Cycle Using Accelerometer Sensor Data (가속도 센서 데이터 기반 수면단계 예측 및 수면주기의 추정)

  • Gang, Gyeong Woo;Kim, Tae Seon
    • Journal of IKEEE
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    • v.23 no.4
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    • pp.1273-1279
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    • 2019
  • Though sleep polysomnography (PSG) is considered as a golden rule for medical diagnosis of sleep disorder, it is essential to find alternative diagnosis methods due to its cost and time constraints. Recently, as the popularity of wearable health devices, there are many research trials to replace conventional actigraphy to consumer grade devices. However, these devices are very limited in their use due to the accessibility of the data and algorithms. In this paper, we showed the predictive model for sleep stages classified by American Academy of Sleep Medicine (AASM) standard and we proposed the estimation of sleep cycle by comparing sensor data and power spectrums of δ wave and θ wave. The sleep stage prediction for 31 subjects showed an accuracy of 85.26%. Also, we showed the possibility that proposed algorithm can find the sleep cycle of REM sleep and NREM sleep.

Steady-state Performance Simulation and Operation Diagnosis of a 2-spool Separate Flow Type Turbofan Engine (2스풀 분리 배기 방식 엔진의 정상상태 성능모사 및 작동 진단)

  • Choo, KyoSeung;Sung, Hong-Gye
    • Journal of Aerospace System Engineering
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    • v.13 no.1
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    • pp.38-46
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    • 2019
  • There is a growing interest in engine diagnostic technology for gas turbine engines. An engine simulation program, precisely simulating the engine performance, is required in order to apply it to the engine diagnosis technology for engine health monitoring. In particular, the simulation program can predict not only design point performance but also off-design point and partial load performance in accurate. So the engine simulation program for the 2-spool separate flow type turbofan engine was developed and the JT9D-7R4G engine of PW(Pratt & Whitney) was analyzed. The steady-sate performance analysis is conducted at both design and off-design points in flight path and the differences between analysis results of takeoff and cruise conditions are compared. The effect of Reynold's correction method was analyzed as a scaling method of the engine component performance. The simulation results was compared with NPSS.

Application and Potential of Artificial Intelligence in Heart Failure: Past, Present, and Future

  • Minjae Yoon;Jin Joo Park;Taeho Hur;Cam-Hao Hua;Musarrat Hussain;Sungyoung Lee;Dong-Ju Choi
    • International Journal of Heart Failure
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    • v.6 no.1
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    • pp.11-19
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    • 2024
  • The prevalence of heart failure (HF) is increasing, necessitating accurate diagnosis and tailored treatment. The accumulation of clinical information from patients with HF generates big data, which poses challenges for traditional analytical methods. To address this, big data approaches and artificial intelligence (AI) have been developed that can effectively predict future observations and outcomes, enabling precise diagnoses and personalized treatments of patients with HF. Machine learning (ML) is a subfield of AI that allows computers to analyze data, find patterns, and make predictions without explicit instructions. ML can be supervised, unsupervised, or semi-supervised. Deep learning is a branch of ML that uses artificial neural networks with multiple layers to find complex patterns. These AI technologies have shown significant potential in various aspects of HF research, including diagnosis, outcome prediction, classification of HF phenotypes, and optimization of treatment strategies. In addition, integrating multiple data sources, such as electrocardiography, electronic health records, and imaging data, can enhance the diagnostic accuracy of AI algorithms. Currently, wearable devices and remote monitoring aided by AI enable the earlier detection of HF and improved patient care. This review focuses on the rationale behind utilizing AI in HF and explores its various applications.

Impedance-Based Damage Diagnosis on Bolt-Jointed Structure Under Varying Temperature

  • Shim, Hyo-Jin;Min, Ji-Young;Yun, Chung-Bang;Shin, Sung-Woo
    • Journal of the Korean Society for Nondestructive Testing
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    • v.31 no.3
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    • pp.260-270
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    • 2011
  • The electromechanical impedance(E/M)-based method detects local structural damages based on variations of electrical impedance signatures which are obtained from piezoelectric sensors bonded to the structure and excited in high frequency band. In this method, temperature changes may result in significant impedance variations and lead to erroneous diagnostic results of the structure. To tackle this problem, a new technique providing a 2-dimensional damage feature related to the temperature information is proposed to distinguish the structural damage from the undesirable temperature variation. For experimental tests to validate the proposed method, damages are introduced by bolt loosening to a bolt-jointed steel beam, and impedance signals are measured under varying temperature conditions through a piezoelectric sensor attached on the beam. A freely suspended piezoelectric sensor is additionally utilized to obtain temperature information indirectly from resistance signatures. From a relationship between the damage index (from a constrained sensor) and the temperature (from a freely suspended sensor or a temperature sensor), damages can be detected more clearly under varying temperature compared to other conventional approaches.

Differential Gene Expression in a Red Alga Gracilaria textorii(Suringar) Hariot (Gracilariales, Florideophyceae) between Natural Populations

  • Woo, Seon-Ock;Ko, Young-Wook;Oh, Yoon-Sik;Kim, Jeong -Ha;Lee, Taek-Kyun;Yum, Seung-Shic
    • Molecular & Cellular Toxicology
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    • v.4 no.3
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    • pp.199-204
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    • 2008
  • The bio-molecules involved in defense mechanisms can be used as efficient biomarkers for physiological changes in organisms caused by both of internal and external stress. Thus, the expression level of genes which encoding such molecules serve as critical 'early warning system' for environmental assessment as well as health diagnosis of biological organisms. In this study, Cytochrome P450, Heat shock protein 90, Ubiquitin and ${\beta}$-actin gene were isolated for the first time from a red alga Gracilaria textorii. The quantitative differential gene expression analyses of three genes, GteCYP1A, GteHsp90 and Gte-UB, were carried out in G. textorii sporophytes collected from two different localities, polluted Sujeong (Masan, Korea) and potentially unpolluted Danggeum (Daemaemuldo Is., Korea). The transcripts of all three tested genes were highly expressed in the Sujeong population. The results suggest: 1) the Sujeong site was more polluted than the Danggeum site; 2) G. textorii could be applicable to marine environment monitoring in coastal regions.