• Journal of Biomedical Engineering Research
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• v.7 no.2
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• pp.147-150
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• 1986

This paper describes the implementation of a computerized radial pulse diagnosis by aids of a clinical expert. On this base, we composed of the radial pulse diagnosis system in korean traditional medicine. The system composed of a radial pulse wave detection system and a radial pulse diagnosis system. With a detection system, we detected Inyoung and Cheongu radial pulse wave and processed it. Then, we have got the characteristic parameters of radial pulse wave and also quantified that according to the method of Inyoung-Cheongu Comparison Radial Pulse Diagnosis. We defined the jugement standard of radial pulse diagnosis system and then we confirmed the possibility for realization of automatic radial pulse diagnosis in korean traditional medicine.

• Journal of Biomedical Engineering Research
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• v.31 no.5
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• pp.375-384
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• 2010

The purpose of this study is to determine whether there is a correlation between the segmental bio-impedance measurement with the frequency modulations and the life-style disease of obesity. An obesity is not simply the factor for estimating the life-style disease of obesity, but also the risk factor occurring. There are many methods (BMI, WHR, Waist, CT, DEXA, BIA, etc.) for measuring a degree of obesity; the bio-impedance measurement is more economic and more effective than others. The physical examination, the blood test, the medical imaging diagnosis and the bio-impedancemeasurementswithmultiple frequencies for each body parts have been conducted for 77 people. The estimated value has been calculated through a segmental bio-impedance model based on multi-frequency that was created to reflect the highest correlation by analyzing correlation with linear regression analysis method for the measured bio-impedance and the risk factors. Then we compared with the clinical diagnosis. In case of high level cholesterol, low HDL-C and high LDL-C for life-style disease, the sensitivity is 80~100%and the specificity is 83~100%. This study has shown conclusively that bio-impedance can be a possible predictor to analyze the disease risk rate of population and individual health maintenance. And also the multi-frequency segmental bio-impedance can be used as early predictor to estimate the life-style disease of obesity.

• Biomedical Science Letters
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• v.27 no.4
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• pp.298-309
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• 2021

Rheumatoid arthritis refers to acute and chronic arthritis due to unexplained autoantibody attack. Rheumatoid arthritis should be accompanied by difficulty in mobility and severe distress due to the progression of systemic arthritis. Therefore, this study early diagnoses the effects of Rheumatoid factor (RF), C-reactive protein (CRP), and Anti-cyclic citrullinated peptide (Anti-CCP), which are typical serum markers for rheumatoid arthritis by meta-analysis. Pubmed and EMBASE, were used as PICO criteria, and two independent researchers selected papers according to the criteria set in this study. The selection criteria was a study of patients with rheumatoid arthritis who developed early onset, and the paper was evaluated using the NCS. Forest plot and Funnel plot graphs for each serum marker were calculated using Revman 5.4. After finding 193 papers on Pubmed and 184 papers on EMBASE and selecting according to the criteria, a total of 41 papers were used for the analysis. The magnitude of the effect that appears in the Forest plot of RF with the Mean differnce value is 134.34, CRP is 21.42 and Anti-CCP is 270.41. The magnitude of the effect of Anti-CCP in meta-analysis was analyzed to be larger than that of RF and CRP, and it is considered that the development of early-diagnosis serum markers using Anti-CCP and additional retrospective studies are highly effective. The combination of RF, CRP, and Anti-CCP as a panel marker is expected to be very efficient.

• Journal of Yeungnam Medical Science
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• v.40 no.1
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• pp.91-95
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• 2023

Psychogenic dysphagia is a deglutition disorder characterized by a fear of swallowing, with no structural or functional causes. This report presents the case of a young male patient who had severe malnutrition due to psychogenic dysphagia and was provided visual biofeedback using fiberoptic endoscopic evaluation of swallowing (FEES). A healthy 25-year-old man presented to our clinic with a complaint of throat discomfort when swallowing that had started 6 months prior. As the symptoms worsened, he became fearful of food spreading to his lungs after swallowing and the development of respiratory difficulties. His food intake gradually decreased, resulting in a weight loss of 20 kg within 2 months. Evaluation of organic and other functional causes of dysphagia was performed, but no abnormalities were detected. The sensation of a lump in his throat, fear of swallowing, and anxiety were transformed into somatic symptoms. The patient was diagnosed with psychogenic dysphagia. After visual biofeedback by a physician who performed FEES, the patient resumed eating normally and increased his food intake. If routine tests do not reveal structural or functional causes of dysphagia, assessment of a psychogenic swallowing disorder should be considered. FEES can help in the diagnosis and management of psychogenic dysphagia.

• Journal of Korea Multimedia Society
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• v.19 no.3
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• pp.557-566
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• 2016

Heart sounds generated by the beating heart and blood flow reflect the turbulence created when the heart valves snap shut. Cardiac diagnosis is typically started by an auscultation using a stethoscope, from which a medical doctor, depending on his hearing capabilities and training, listens and interprets the acoustic signal. This method of diagnostic is uncertain, mostly due to the fact that human ear loses the acoustic frequency sensitivity through the years. Even though an auscultation has some weaknesses like uncertainty, it is considered as a primary tool due to its simplicity. In this paper, heart murmur detection algorithm is proposed using time and frequency characteristics of heart sound. The propose heart murmur detection method adapted conventional primary heart sound detection method in time domain and modified spectral flatness method in frequency domain for detecting heart murmurs. From experimental results, it is confirmed that the proposed algorithm detect the heart murmurs efficiently.

• Proceedings of the KIEE Conference
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• 2001.11c
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• pp.180-183
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• 2001

In modem city life, the citizen get insufficient exercise and has high levels of stress. Increased Stress causes such minor things as tiredness, disease and mental fatigue, and increase brain blood pressure too. In this paper trying to design the multi-functional blood pressure monitor with airo-dynamic brain hemokinesis improvement function. So this system have developed for the improvement of flows in the capillary blood vessel of head and limbs. Also This system is able to measure brain blood pressure(BBP) which need diagnosis circulation state of brain blood. So, we extracted correlativity of blood pressure(BP) and BBP through clinical experiment. We confirmed that compare factor of BP with BBP is more useful factors for diagnosis state of brain hemokinesis.

• BMB Reports
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• v.53 no.1
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• pp.10-19
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• 2020

Alzheimer's disease (AD) is a chronic neurodegenerative disease characterized by the accumulation of amyloid plaques and neurofibrillary tangles in the brain. The AD pathophysiology entails chronic inflammation involving innate immune cells including microglia, astrocytes, and other peripheral blood cells. Inflammatory mediators such as cytokines and complements are also linked to AD pathogenesis. Despite increasing evidence supporting the association between abnormal inflammation and AD, no well-established inflammatory biomarkers are currently available for AD. Since many reports have shown that abnormal inflammation precedes the outbreak of the disease, non-invasive and readily available peripheral inflammatory biomarkers should be considered as possible biomarkers for early diagnosis of AD. In this minireview, we introduce the peripheral biomarker candidates related to abnormal inflammation in AD and discuss their possible molecular mechanisms. Furthermore, we also summarize the current state of inflammatory biomarker research in clinical practice and molecular diagnostics. We believe this review will provide new insights into biomarker candidates for the early diagnosis of AD with systemic relevance to inflammation during AD pathogenesis.

• Biomedical Science Letters
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• v.26 no.4
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• pp.302-309
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• 2020

Human Coxsackievirus B5 (HuCoxV-B5) infection has been associated with various diseases such as myocarditis, aseptic meningitis, hand-foot-and mouth-disease, and insulin-dependent diabetes. HuCoxV-B5 is a virus transmitted through the fecal-oral route and is detected in clinics, aquatic environments, food, shellfish, etc. and is one of the more important viruses in public health because of its incidence rate reported worldwide. In this study, a combination of SYBR Green-based real-time PCR primers for molecular diagnosis including monitoring of HuCoxV-B5 was selected and the optimal reaction conditions were established. Compared with the previously reported TaqMan probe-based real-time PCR method, assessments including a sample applicability test were performed. Results showed that the real-time PCR method developed in this study was suitable for a molecular diagnostic technique for detecting HuCoxV-B5. This study is expected to contribute to efforts in responding to safety accidents in public health because the proposed method facilitates rapid diagnosis of clinical patients. It can also be used as a specific monitoring tool of HuCoxV-B5 in non-clinical areas such as aquatic environments among others.

• The Journal of Korea Robotics Society
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• v.16 no.2
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• pp.172-178
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• 2021

The COVID-19 pandemic has been reshaping the world by accelerating non-contact services and technologies in various domains. Hospitals as a healthcare system lie at the center of the dramatic change because of their fundamental roles: medical diagnosis and treatments. Leading experts in health, science, and technologies have predicted that robotics and artificial intelligence (AI) can drive such a hospital transformation. Accordingly, several government-led projects have been developed and started toward smarter hospitals, where robots and AI replace or support healthcare personnel, particularly in the diagnosis and non-surgical treatment procedures. This article inspects the remaining element of healthcare services, i.e., surgical treatment, focusing on evaluating whether or not currently available laparoscopic surgical robotic systems are sufficiently preparing for the era of post-COVID-19 when contactless is the new normal. Challenges and future directions towards an effective, fully non-contact surgery are identified and summarized, including remote surgery assistance, domain-expansion of robotic surgery, and seamless integration with smart operating rooms, followed by emphasis on robot tranining for surgical staff.

• Parasites, Hosts and Diseases
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• v.60 no.1
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• pp.7-14
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• 2022

Acanthamoeba keratitis (AK) is a rare infectious disease and accurate diagnosis has remained arduous as clinical manifestations of AK were similar to keratitis of viral, bacterial, or fungal origins. In this study, we described the production of a polyclonal peptide antibody against the adenylyl cyclase-associated protein (ACAP) of A. castellanii, and evaluated its differential diagnostic potential. Enzyme-linked immunosorbent assay revealed high titers of A. castellanii-specific IgG and IgA antibodies being present in low dilutions of immunized rabbit serum. Western blot analysis revealed that the ACAP antibody specifically interacted with A. castellanii, while not interacting with human corneal epithelial (HCE) cells and other causes of keratitis such as Fusarium solani, Pseudomonas aeruginosa, and Staphylococcus aureus. Immunocytochemistry (ICC) results confirmed the specific detection of trophozoites and cysts of A. castellanii co-cultured with HCE cells. The ACAP antibody also specifically interacted with the trophozoites and cysts of 5 other Acanthamoeba species. These results indicate that the ACAP antibody of A. castellanii can specifically detect multiple AK-causing members belonging to the genus Acanthamoeba and may be useful for differentially diagnosing Acanthamoeba infections.