• 제목/요약/키워드: Noninvasive measurement

검색결과 108건 처리시간 0.03초

Ultrasound Time Domain Correlation을 이용한 가상 혈류 속도 측정 (Artificial blood flow measurement using Ultrasound Time Domain Correlation)

  • 김의준
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 1992년도 학술논문발표회 논문집 제11권 1호
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    • pp.103-106
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    • 1992
  • 기존의 혈류 속도 측정 방법으로는 인체내에 반사 물질을 투입하는 Fick technique과 electromagnetic flowmeter등을 이용한 invasive method와 Ultrasonic Doppler method에 의한 noninvasive method가 이용되고 있다. 이 방법들은 혈과의 모양이나 혈관에서의 flow velocity profile등에 관한 정확한 정보를 얻을 수 없다. 이와같은 문제점들을 해결하기 위한 혈류속도 측정 방법으로 실험실 조건하에서 인체에서와 유사한 혈류측정 장치를 제작하여, vessel의 표본 체적내의 산란체로부터 후방산란되는 초음파 신호의 correlation을 이용한 Ultrasound Time Domain Correlation (UTDC) technique을 연구하였다. UTDC technique을 이용하여 유속을 측정한 결과, 12% 이하의 정밀도로 평균 유체 유속이 측정되었고, Ultrasonic Doppler method에서 측정할 수 없는 혈과의 모양과 혈관의 각 위치에서의 유속 및 혈관벽에 이물질의 존재여부를 명확히 판단할 수 있었다.

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비균질성을 고려한 두뇌모형 내부의 자속밀도 분포 해석 및 측정 (Analysis and measurement of magnetic flux density distribution inside a brain model taking into account conductivity heterogeneity)

  • 이일호;우상효;원철호;김동훈
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 제39회 하계학술대회
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    • pp.1991-1992
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    • 2008
  • 경두개자기자극술(Transcranial Magnetic Sitmulation:이하 TMS)은 두뇌 외부에 설치된 코일을 이용하여 짧은 시간에 강한 펄스 형태의 자기장을 인가하여 두뇌 내부에 유도전기장을 발생시켜 특정 부위의 신경조직을 자극하는 비침습적(noninvasive)인 기술이다. 두뇌 내부에 정확한 자극 분포와 자극 세기를 알기 위해 Zubal Data에 근거한 정밀한 두뇌형상모델을 이용하여 비균질성을 고려해 수치해석을 하였다. 수치해석 결과 복잡한 머리 내부에 유기되는 정확한 유도전기장 분포를 예측하였고 실험을 통해 수치해석의 유효성을 증명하였다.

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ECG-NIBP 환자감시장치 개발 (Development of ECG-NIBP Patient Monitoring System)

  • 김남현;심원흠;이건기;라상원;김경하
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1997년도 추계학술대회
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    • pp.315-318
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    • 1997
  • The ECG-NIBP patient monitor consist of Noninvasive Blood Pressure(NIBP) module that have micro controller inside. This module transfer data by serial communication to the main processor. This system apply the fuzzy inflating method to reduce the blood pressure measuring time, and moving artifact removing algorithm, several parameters used or more accurate measurement. The ECG monitor use the Digital Signal Processor(DSP) or digital filtering, peak detection, heart rate calculation. This system also offer convenient user interface by rotary key, menu bar. With 7" CRT display, auxiliary TFT LCD display adapted to display information on wide screen.

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양전자방출단층촬영을 이용한 심근혈류 및 관상동맥 혈류예비능 평가 (Evaluation of Myocardial Blood Flow and Coronary Flow Reserve Using Positron Emission Tomography)

  • 이병일;범희승
    • 대한핵의학회지
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    • 제39권2호
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    • pp.118-123
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    • 2005
  • Positron emission tomography (PET) serves as a gold standard for noninvasive in vivo measurement of myocardial blood flow (MBF) and coronary flow reserve (CFR). CFR can be defined as the ratio of maximally vasodilated MBF over its basal flow. It is an important parameter for the evaluation of functional severity of coronary stenosis and prognositification in various diseases such as dilated cardiomyopathy. $^{13}NH_3,\;H_2^{15}O,\;^{82}Rb$ are widely used radiopharmaceuticals for measuring MBF and CFR, This review introduces imaging techniques and its clinical utility. Cardiac application or PET and PET/CT is expected to be increased in near future.

정상 소아의 비음도에 관한 연구 (A Study of Nasalance for Normal Korean Children Using Nasometer II)

  • 김성일;조상기;고승오;신효근
    • 음성과학
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    • 제7권4호
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    • pp.73-82
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    • 2000
  • The perceptual judgement of nasality is still used in the assessment of velopharyngeal incompetence, but it should not be the sole criterion for speech nasality. Objective procedures may be used to assess velopharyngeal function, for example, nasometer, aerodynamics, x-ray, electromyography, nasoendoscopy, and videofluoroscopy can be utilized. The nasometer employs noninvasive measurement methods and measures with high levels of accuracy. The aim of this study was to obtain comprehensive nasalance data for Korean children, aged 7 years, and to investigate any gender differences within that age group. The results were as follow: 1. Statistically, gender has no significant effect on the nasalance of vowels /a/, /i/, /o/, /u/, /je/, /wi/) but the nasalance of the vowels /e/, /ja/) was higher in males (p<0.05). 2. There was no statistically significant effect of gender in plosives /p/, /ph/, /p'/, /t/, /th/, /t'/, /k/, /kh/, /k'/), affricatives /c/, /ch/, /c'/), and fricatives /s/, /s'/, /$\int$/). 3. The nasalance of the nasal consonants, /m/, /n/, /an/) is higher in males and only /n/, /an/ were statistically significant (p<0.05).

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A Study on the Nonlinear Dynamics of PR Interval Variability Using Surrogate data

  • 이종민;박광석;신인선
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1996년도 춘계학술대회
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    • pp.27-30
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    • 1996
  • PR interval variability has been proposed as a noninvasive tool for in-vestigating the autonomic nervous system as welt as heart rate variability. The goal of this paper is to determine whether PR interval variability is generated from deterministic nonlinear dynamics. The data used in this study is a 24-hour bolter ECGs of 20 healthy adults. We developed an automatic PR interval measurement algorithm, and tested it using MIT ECG Databases. The general discriminants of nonlinear dynamics, such as, correlation dimension and phase space reconstruction are used. Surrogate data is generated from simpler linear models to have similar statistical characteristics with the original data. Nonlinear discriminants are applied to both data, and compared for any significant results. It was concluded that PR interval variability shows non-linear characteristics.

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Real-time photoplethysmographic heart rate measurement using deep neural network filters

  • Kim, Ji Woon;Park, Sung Min;Choi, Seong Wook
    • ETRI Journal
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    • 제43권5호
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    • pp.881-890
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    • 2021
  • Photoplethysmography (PPG) is a noninvasive technique that can be used to conveniently measure heart rate (HR) and thus obtain relevant health-related information. However, developing an automated PPG system is difficult, because its waveforms are susceptible to motion artifacts and between-patient variation, making its interpretation difficult. We use deep neural network (DNN) filters to mimic the cognitive ability of a human expert who can distinguish the features of PPG altered by noise from various sources. Systolic (S), onset (O), and first derivative peaks (W) are recognized by three different DNN filters. In addition, the boundaries of uninformative regions caused by artifacts are identified by two different filters. The algorithm reliably derives the HR and presents recognition scores for the S, O, and W peaks and artifacts with only a 0.7-s delay. In the evaluation using data from 11 patients obtained from PhysioNet, the algorithm yields 8643 (86.12%) reliable HR measurements from a total of 10 036 heartbeats, including some with uninformative data resulting from arrhythmias and artifacts.

Noninvasive blood glucose monitoring system based on NIR spectroscopy with a contact pressure control device

  • Kang, Na-Roo;Baek, Ju-Hyun;Woo, Young-Ah;Kim, Hyo-Jin
    • 대한약학회:학술대회논문집
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    • 대한약학회 2003년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2-2
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    • pp.67.3-68
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    • 2003
  • The purpose of this study is to improve repeatability of a non-invasive blood glucose measurement. The portable NIR system that was newly integrated by our lab includes a tungsten halogen lamp, a specialized reflectance fiber optic probe and a photo diode array type InGaAs detector, which was developed by a microchip technology based on the lithography. Reflectance NIR spectra of finger tip were recorded by using a fiber optic probe. The probe was fixed in the system and subjects put their finger on the probe head. (omitted)

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Emerging Machine Learning in Wearable Healthcare Sensors

  • Gandha Satria Adi;Inkyu Park
    • 센서학회지
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    • 제32권6호
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    • pp.378-385
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    • 2023
  • Human biosignals provide essential information for diagnosing diseases such as dementia and Parkinson's disease. Owing to the shortcomings of current clinical assessments, noninvasive solutions are required. Machine learning (ML) on wearable sensor data is a promising method for the real-time monitoring and early detection of abnormalities. ML facilitates disease identification, severity measurement, and remote rehabilitation by providing continuous feedback. In the context of wearable sensor technology, ML involves training on observed data for tasks such as classification and regression with applications in clinical metrics. Although supervised ML presents challenges in clinical settings, unsupervised learning, which focuses on tasks such as cluster identification and anomaly detection, has emerged as a useful alternative. This review examines and discusses a variety of ML algorithms such as Support Vector Machines (SVM), Random Forests (RF), Decision Trees (DT), Neural Networks (NN), and Deep Learning for the analysis of complex clinical data.

오실로메트릭법을 적용한 홈헬스케어용 비침습적 혈압측정법의 구현 (Implementation of Noninvasive Blood Pressure Measuring System for Home Health Care Using Oscillometric Method)

  • 강성철;전계록;정도운
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2006년도 춘계종합학술대회
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    • pp.689-692
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    • 2006
  • 본 연구에서는 기존의 침습형 혈압 측정 방법의 위험성 및 불편성 등의 단점과 측정오차를 줄이고자 오실로메크릭법에 의한 혈압측정을 위하여 비관혈적인 방법으로 보다 정확하게 혈압을 추정할 수 있는 시스템을 구현하였다. 구현된 혈압 측정 시스템은 압력 제어부, 신호 측정부 그리고 혈압 신호처리부 등으로 구성하였다. 구현된 혈압측정 실험 시스템의 타당성을 검증하기 위하여 압력 측정부의 특성 평가 실험, 혈압 추정을 위한 특성비율 산출 실험, 오실로메트릭법에 의한 혈압 추정 및 평가 실험을 수행하였다. 본 연구에서 구현된 혈압 측정 실험 시스템으로 성인남성 5명을 실험 대상군으로 선정하여 데이터를 계측하고 혈압을 추정하는 실험을 한 결과 오실로메트릭에 의한 혈압 추정 및 평가 실험에서 청진법과의 평균동맥압, 수축기 혈압, 그리고 이완기 혈압에서 최대 절대편차 비율이 각각 1.38% 1.63 그리고 2.97% 이었고 최대 표준오차가 각각 5.00, 3.72, 그리고 4.34인 혈압 측정 시스템을 구현하였다.

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