• 제목/요약/키워드: biomedical diagnosis

검색결과 794건 처리시간 0.034초

Electrochemical Biosensors for Biomedical and Clinical Applications: A Review

  • Rahman Md. Aminur;Park Deog-Su;Shim Yoon-Bo
    • 대한의용생체공학회:의공학회지
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    • 제26권5호
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    • pp.271-282
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    • 2005
  • There are strong demands for accurate, fast, and inexpensive devices in the medical diagnostic laboratories, such as biosensors and chemical sensors. Biosensors can provide the reliable and accurate informations on the desired biochemical parameters, which is an essential prerequisite for a patient before going for a treatment. They can be used for continuous measurements of metabolites, blood cations, gases, etc. Of these, electrochemical biosensors play an important role in the improvement of public health, because rapid detection, high sensitivity, small size, and specificity are achievable for clinical diagnostics. In this paper, the clinical applications with electrochemical biosensors are reviewed. An attempt is also made to highlight some of the trends that govern the research and developments of the important biosensors that are associated to clinical diagnosis.

소화기 내시경의 기술 현황과 전망 (Current and Future Technologies for a Gastrointestinal Endoscopy)

  • 지영준;우지환
    • 대한의용생체공학회:의공학회지
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    • 제31권5호
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    • pp.335-343
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    • 2010
  • This article presents a review of technologies for an endoscope. The classification according to the clinical applications and the imaging modalities are summarized. The major parts are focused on describing the gastrointestinal endoscope's structures and mechanisms. The details of the image enhanced endoscopic techniques, such as NBI (narrow band imaging), OCT (optical coherence tomography), and EUS (endoscopic ultrasound), are also explained. Finally, the trend of NOTES (natural orifice transluminal endoscopic surgery) which is new fusion technology in the field of endoscopic diagnosis and surgery is introduced.

왈쉬 변환을 이용한 심전도 데이터 압축 재생 (ECG Data Compression and Reconstruction Using a Walsh Transform)

  • 이경중;윤형로;이명호
    • 대한의용생체공학회:의공학회지
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    • 제7권1호
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    • pp.67-74
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    • 1986
  • We have implemented data compression and reconstruction by using a fast Walsh transform. The ECG signals were generated by an ECG BimLllator (KONT- RON). The sampling frequency was 480 Hz and the data point number used was 512. In order to eliminate the 60 Hz noise and baseline drift, a digital notch filter was designed. We obtaine!1 a compression ratio of 5 : 1 and at this ratio it was possible to obtain a true diagnosis and an ECG morphology analysis.

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Simultaneous Determination of Plasma Lactate, Pyruvate, and Ketone Bodies following tert-Butyldimethylsilyl Derivatization using GC-MS-SIM

  • Yoon, Hye-Ran
    • 대한의생명과학회지
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    • 제21권4호
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    • pp.241-247
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    • 2015
  • Lactate and ketone bodies are considered biological markers for ketosis and several inherited metabolic disorders. In the current study, the specific ratios of lactate and ketone bodies as analytical tools for differential diagnosis of various lactic acidosis were devised. The study included a protein precipitation step following tert-butyldimethylsilyl derivatisation. Total run time was approximately 30 min including sample preparation and GS/MS analysis. The limits of detection were below 0.1 pg/mL over the targeted 4 analytes. The calibration curve was linear over the concentration range of $0.001{\sim}250{\mu}g/mL$ for pyruvate, beta-hydroxybutyrate, and acetoacetate ($R^2$ > 0.99). Inter-day accuracy and precision were 87.7~94.8% with RSD of 2.5~5.7% at 2 levels. Absolute recoveries (%) of target analytes were 87.0~98.4%. The method was validated for the quantification of lactate and ketone bodies for differentiation of lactic acidosis.

전문가의 추론방법을 이용한 P파 검출 알고리즘 (P wave Detection Algorithm using Cardiologist's Estimation Method)

  • 이지연;황성오;윤영로;윤형로
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1995년도 춘계학술대회
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    • pp.186-189
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    • 1995
  • This paper performed P wave detection algorithm for diagnosis in according to method of cardiologist's P wave detection. We used correlation pattern matching for prominent P waves and P-P interval estimation for ambiguous P waves. Results of this study indicate that this algorithm has potential for improving P wave detection performance.

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Design of an Adaptive Filter with a Dynamic Structure for ECG Signal Processing

  • Lee Ju-Won;Lee Gun-Ki
    • International Journal of Control, Automation, and Systems
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    • 제3권1호
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    • pp.137-142
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    • 2005
  • Biomedical signals such as ECG, EMG, and EEG are extremely important in the diagnosis of patients. It is difficult to filter noise from these signals, and errors resulting from filtering can distort a biomedical signal. Existing systems have shown poor performance when complicated noise appears. Adaptive filtering is selected to contend with these defects. Existing adaptive filters can adjust the filter coefficient with the given filter order, but they can produce an unsuitable order in different environments. In order to solve this problem, an optimal adaptive filter with a dynamic structure was designed. Positive experimental results were obtained.

Large Cohort Association of Single Nucleotide Polymorphism of PLA2G4A Gene with White Blood Cell Counts in Korean Population

  • Jung, Suk-Yul
    • 대한의생명과학회지
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    • 제18권1호
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    • pp.71-75
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    • 2012
  • The PLA2G4A catalyzes the hydrolysis of membrane phospholipids to release arachidonic acid, which is metabolized into lipid-based cellular hormones that regulate inflammatory response. The circulating blood cell numbers can be influenced by stress, infection or inflammation. Quantitative blood cell count traits analysis for the 19 SNPs in the PLA2G4A gene in the Korean Association Resource (KARE) cohort (7551 subjects) was performed. The only one SNP (rs10752979) in the all blood cell count was satisfied with the Bonferroni corrected P-value (<0.00263). Furthermore, 6 of the 19 SNPs in the PLA2G4A gene showed a weak or moderate association with blood cell count (P-values: 0.0048~0.042), suggesting the clue of an association between the PLA2G4A gene and blood cell count, especially white blood cell count. This study may provide insight into the genetic basis of blood cell count related with reaction of infection.

혈관 통과 시간을 활용한 고정확도 제 1심음 및 제 2심음 자동식별 알고리즘 개발 (Development of High-Accuracy Automatic Identification Algorithm for First and Second Heart Sounds Using Vascular Transit Time)

  • 이수민;웨이췬;박희준
    • 한국멀티미디어학회논문지
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    • 제24권11호
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    • pp.1500-1507
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    • 2021
  • Identification and analysis of the first and second heart sounds(S1, S2) is the easiest way for cardiovascular disease prevention and early diagnosis. However, accurate identification is difficult because the heart sound includes organ movement, blood vortex, user experience, and noise influenced by subjective judgment. Therefore, an algorithm to automatically identify the S1 and S2 heart sounds based on blood vessel transit time(VTT) is presented in this paper. According to the experimental results of comparing the algorithm developed for S1 and S2 heart sound analysis with the conventional Shannon energy algorithm in 10 volunteers, it has been proven that the proposed algorithm can automatically identify S1 and S2 heart sounds with higher accuracy than existing algorithms.

Radioiodination strategies for carborane compounds

  • Rajkumar Subramani;Abhinav Bhise;Jeongsoo Yoo
    • 대한방사성의약품학회지
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    • 제8권1호
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    • pp.39-44
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    • 2022
  • The development of methods for the inert and stable radiohalogenation of targeted radiopharmaceuticals is a prerequisite for real-time diagnosis and therapy using radiohalogenated radiopharmaceuticals. Radiohalogenated carboranes demonstrate superior stability in vivo and versatile applications compared with directly labeled tyrosine analogues or synthetically modified organic compounds. Herein, we focus on the most common approaches for the radioiodination (123l, 124l, 125l, and 131l) of carborane derivatives.

Multi-omics techniques for the genetic and epigenetic analysis of rare diseases

  • Yeonsong Choi;David Whee-Young Choi;Semin Lee
    • Journal of Genetic Medicine
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    • 제20권1호
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    • pp.1-5
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    • 2023
  • Until now, rare disease studies have mainly been carried out by detecting simple variants such as single nucleotide substitutions and short insertions and deletions in protein-coding regions of disease-associated gene panels using diagnostic next-generation sequencing in association with patient phenotypes. However, several recent studies reported that the detection rate hardly exceeds 50% even when whole-exome sequencing is applied. Therefore, the necessity of introducing whole-genome sequencing is emerging to discover more diverse genomic variants and examine their association with rare diseases. When no diagnosis is provided by whole-genome sequencing, additional omics techniques such as RNA-seq also can be considered to further interrogate causal variants. This paper will introduce a description of these multi-omics techniques and their applications in rare disease studies.