• 제목/요약/키워드: Respiration Measurement

검색결과 196건 처리시간 0.027초

PVDF 압전소자를 이용한 심장박동 및 호흡수 동시측정센서개발 (Development of New Stacked Element Piezoelectric Polyvinylidene Fluoride Pressure Sensor for Simultaneous Heartbeat and Respiration Measurements)

  • 박창용;권현규;이소진;롱원만
    • 한국기계가공학회지
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    • 제18권4호
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    • pp.100-108
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    • 2019
  • In this paper, a new stacked element pressure sensor has proposed for heartbeat and respiration measurement. This device can be directly attached to an individual's chest; heartbeat and respiration are detected by the pulsatile vibration and deformation of the chest. A key feature of the device is the simultaneous measurement of heart rate and respiration. The structure of the sensor consists of two stacked elements, in which one element includes one polyvinylidene fluoride (PVDF) thin film bonded on polydimethylsiloxane (PDMS) substrate. In addition, for the measurement and signal processing, the electric circuit and the filter are simply constructed with an OP-amp, resistance, and a capacitor. One element (element1, PDMS) maximizes the respiration signal; the other (element2, PVDF) is used to measure heartbeat. Element1 and element2 had sensitivity of 0.163V/N and 0.209V/N, respectively, and element2 showed improved characteristics compared with element1 in response to force. Thus, element1 and element2 were optimized for measuring respiration heart rate, respectively. Through mechanical and vivo human tests, this sensor shows the great potential to optimize the signals of heartbeat and respiration compared with commercial devices. Moreover, the proposed sensor is flexible, light weight, and low cost. All of these characteristics illustrate an effective piezoelectric pressure sensor for heartbeat and respiration measurements.

열화상 카메라를 이용한 움직임 보정 기반 호흡 수 계산 (Respiration Rate Measurement based on Motion Compensation using Infrared Camera)

  • 권준환;신증수;김정민;오경택;유선국
    • 한국멀티미디어학회논문지
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    • 제21권9호
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    • pp.1076-1089
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    • 2018
  • Respiration is the process of moving air into and out of the lung. Respiration changes the temperature in the chamber while exchanging energy. Especially the temperature of the face. Respiration monitoring using an infrared camera measures the temperature change caused by breathing. The conventional method assumes that motion is not considered and measures respiration. These assumptions can not accurately measure the respiration rate when breathing moves. In addition, the respiration rate measurement is performed by counting the number of peaks of the breathing waveform by displaying the position of the peak in a specific window, and there is a disadvantage that the breathing rate can not be measured accurately. In this paper, we use KLT tracking and block matching to calibrate limited weak movements during breathing and extract respiration waveform. In order to increase the accuracy of the respiration rate, the position of the peak used in the breath calculation is calculated by converting from a single point to a high resolution. Through this process, the respiration signal could be extracted even in weak motion, and the respiration rate could be measured robustly even in various time windows.

세포 호흡량 측정용 다채널 측정 시스템 개발 (Development of a multi channel measurement system for the cellular respiration measurement)

  • 남현욱;박정일;김영미;박정호
    • 센서학회지
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    • 제19권1호
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    • pp.36-42
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    • 2010
  • This paper describes a multi channel measurement system which can measure the cellular respiration level in a solution containing cells by using a Clark-type sensor with the solution temperature control unit. The Clark-type sensor can measure the cellular respiration level in the solution because it can measure the reduction current depending on the dissolved oxygen level in the solution. This measurement system was maintained the temperature within ${\pm}0.1^{\circ}C$ of the setting temperature value by on/off control method in order to measure the precise cellular respiration level. The measurement system showed that the applied voltage to the working electrode was very stable(-0.8 V$\pm$ 0.0071 V) by using proportional control method. From the current measurement, the response time and the linearity correlation coefficient were 25 sec and 0.94, respectively, which are very close to the results of the commercial product. Using this system and the fabricated Clarktype sensor, the average ratio of the uncoupled OCR(oxygen consumption rate) to the coupled OCR was 1.35 and this is almost the same as that obtained from a commercial systems.

호흡동조 방사선치료를 위한 호흡 움직임 신호 측정 (Measurement of Respiratory Motion Signals for Respiratory Gating Radiation Therapy)

  • 정진범;정원균;김연래;이정우;서태석
    • 한국의학물리학회:학술대회논문집
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    • 한국의학물리학회 2005년도 제30회 춘계학술대회
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    • pp.59-63
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    • 2005
  • 호흡 움직임은 종양에 대한 방사선치료의 부정확한 방사선조사가 유도되도록 복부 및 흉부에서 움직임을 야기한다. 그러므로 치료시 이러한 움직임에 대한 정확한 계산은 정상조직에는 저 선량을 조사되도록 CTV의 마진을 줄일 수 있고 방사선치료에 발생되는 부작용을 줄일 수 있다. Intrafraction motion을 고려하는 기술로는 호흡 멈춤, 호흡동조, 4차원 또는 종양추적 기술이 있다. 호흡동조 방법은 환자의 호흡 신호가 호흡주기의 일정한 범위에 위치할 때 주기적으로 빔을 조사하고 그 범위를 벗어날 때는 빔을 조사하지 않는 방법이다. 이러한 기술은 내부장기 움직임과 상관관계가 있는 호흡 움직임 신호의 획득이 요구된다. 호흡동조 방사선치료를 위한 예비연구로 본 연구자들은 호흡 움직임 신호 측정을 수행하였다. 환자의 호흡 움직임 신호 측정을 위해서, 호흡측정시스템을 3 가지 센서, 4 채널 데이터 획득 시스템, 신호처리용 컴퓨터로 구성하였다. 2명의 환자를 대상으로 본 연구자들은 호흡측정시스템을 가지고 호흡주기 및 파형을 평가하였다. 그 결과 호흡주기는 시간의 함수에 따라 일반적으로 정확한 대칭 형태는 아니지만 주기적인 형태로 측정되었다. 호흡측정 시스템은 기대했던 만큼 환자의 호흡을 잘 추적하였으며 실험에 적용하기 위해 쉽게 컨트롤 할 수 있었다.

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도플러 레이더를 이용한 수면 중의 심박 및 호흡 측정: 예비연구 (A Study on Measurement of Heartrate and Respiration during Sleep using Doppler Radar: Preliminary Study)

  • 임용규
    • 대한의용생체공학회:의공학회지
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    • 제38권5호
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    • pp.264-270
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    • 2017
  • A Doppler radar sensor was applied to detect respirations and heartbeats of persons who were lying on a bed. This study is preliminary study aiming at non-contact and non-intrusive respiration and heart rate monitoring during sleep in daily life. For the experiments, 10GHz Doppler radar with patch-type antenna was used and installed on the upper right and the distance between the body and the antenna was 1 m. The results show that each signal of respiration and heartbeat is observed in each frequency band however the frequency band and the waveform vary according to the subjects and the posture. The results show that the heartbeats can be detected with the peak detection in some frequency band. This study shows the feasibility of applying the Doppler radar to detection of heartbeat and respiration during sleep and further studies about heartbeat detection algorithm are required.

광용적맥파의 신호 패턴을 이용한 호흡 검출 기법 (Respiration Detection Method Using the PPG Signal Pattern)

  • 박문수;김정구
    • 한국멀티미디어학회논문지
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    • 제19권11호
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    • pp.1862-1870
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    • 2016
  • A respiration is one of the most useful techniques for vital checking and an abnormal respiration is often the earliest sign of critical illness. Detection of respiration is based on the photo-plethysmography (PPG) with photodiode technique. Because PPG sensor using photodiode can be easily miniaturized, it is suitable for wearable devices. A system to measure respiration rate based on PPG signal is implemented and for a reliable measurement an improved algorithm in accuracy using PPG signal pattern is proposed in this paper. As results regarding to three types of respirations (regular interval, free interval, and weak respiration) the proposed algorithm showed error rate of 0.047, 0.067, and 0.122 respectively.

영상 정합 및 통계학적 패턴 분류를 이용한 호흡률 측정에 관한 연구 (A Study on the Measurement of Respiratory Rate Using Image Alignment and Statistical Pattern Classification)

  • 문수진;이의철
    • 예술인문사회 융합 멀티미디어 논문지
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    • 제8권10호
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    • pp.63-70
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    • 2018
  • 영상을 이용한 생체 신호 측정 기술이 발전하고 있으며, 특히 생명 유지를 위한 호흡 신호 측정기술 연구가 지속적으로 진행되고 있다. 기존 기술은 사람의 몸에서 방출하는 열을 측정하는 열화상 카메라를 통하여 호흡 신호를 측정하였다. 또한, 실시간으로 사람의 흉부 움직임을 분석하여 호흡률을 측정하는 연구도 진행되었다. 하지만, 적외선 열화상 영상을 이용하여 영상 처리를 하는 것은 외부 환경 요인으로 인해 호흡 기관의 탐색이 어려울 수 있으며, 이에 따라 호흡률 측정의 정확도가 떨어지는 문제들이 발생했다. 본 연구에서는 호흡 기관의 영역 탐색을 강화하기 위해 가시광 및 적외선 열화상 카메라를 이용하여 영상을 취득하였다. 그리고 두 영상을 기반으로 얼굴 인식, 영상 정합 등의 과정을 통해 호흡 기관 영역의 특징을 추출한다. 추출한 특징 값을 통계학적 분류 방법 중 하나인 k-최근접 이웃 분류기를 통해 호흡 신호의 패턴을 분류한다. 분류한 패턴의 특성에 따라 호흡률을 계산하며, 측정한 호흡률의 성능을 확인하기 위해 실제 호흡률과 비교 과정을 통해 분석함으로써, 호흡률 측정의 가능성을 확인하였다.

음성, 성문 및 호흡 통합 검사 시스템의 개발 (Development of an Integrated Analysis System of Voice, Electroglottography, and Respiration)

  • 이승훈;정원혁;최홍식;김수찬;임재중;김덕원
    • 음성과학
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    • 제12권4호
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    • pp.77-92
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    • 2005
  • Voice is made by systemic interaction of respiration, vocalization, articulation and resonation. There is no existing multi-channel voice analysis system to assess voice and respiration simultaneously. The most existing systems consist of. vocal fold vibration measurement such as stroboscopy, EGG (electroglottography) or laryngeal electromyography and voice analysis system. Since respiration has close relationship with voice simultaneous analysis of both vocal cord vibration and respiration are essential. In this study, a four channel integrated system are developed for acoustic analysis through microphone, vocal fold vibratory analysis using EGG, and respiratory analysis using two channel RIP (respiratory inductive plethysmography).

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Sensitivity Enhancement of Spirometer Employing Ultrasonic Method

  • Han, Seung-Heon;Kim, Young-Kil
    • 대한의용생체공학회:의공학회지
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    • 제26권6호
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    • pp.351-356
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    • 2005
  • Respiration measurement method using an ultrasound sensor is influenced very little by an error of inertia and pressure. This device measures the amount and flow of respiration using a delivery speed difference of the ultrasound waves that are a return format by the pneumatic stream that is a flogging of ultrasound waves during transmission and receipt as having used a characteristic of ultrasound waves. This paper examines improving the sensor's sensitivity during transmission and receipt of the signal. Because the measurement must be performed on patients, clinicians need to be sure that it is accurately measuring even very weak breathing.

스마트폰을 이용한 호흡 측정에 관한 연구 (A Study on Respiration Measurement Using a Smartphone)

  • 강성진
    • 반도체디스플레이기술학회지
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    • 제17권3호
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    • pp.108-112
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    • 2018
  • In this paper, a respiration measurement method using FMCW signal for off-the-shelf smartphone is presented and investigated. The proposed algorithm transmits FMCW signal periodically instead of transmitting continuously so that one can reduce the power consumption from speaker in smartphone and the algorithm complexity. In order to eliminate the clicking noise generated when transmitting FMCW signal, Tukey window with ${\alpha}=0.01$ is applied to prevent the noise from being heard. An application program for Android OS which can transmit FMCW signal through speaker and record the reflected signals through MIC has been developed. Since the total duration of the signal transmission is set to 20msec per 1 second for the experiments, the power consumption can be decreased by 80% compared to the continuous transmission. It was confirmed that the clicking noise is inaudible as long as a smartphone is located at more than 10cm from ears. In the experiments on a sleeping child, the breathing signal of about 0.27Hz was measured.