• 제목/요약/키워드: respiration measurement

검색결과 196건 처리시간 0.03초

호흡 측정 수면베개 시스템 (Respiration Measurement Sleeping Pillow System)

  • 안도현;쩐밍;이종민;박재희
    • 센서학회지
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    • 제26권4호
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    • pp.280-285
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    • 2017
  • This paper presents a respiration measurement sleeping pillow based on pressure sensors. The respiration measurement sleeping pillow system consists of a sleeping pillow, an interface circuit, a respiration measurement system, and four force-sensitive resistor(FSR) sensors attached at the bottom of the sleeping pillow. The FSR sensors are used to detect the respiration signals induced by the body movement while breathing. The respiration signals of a twenty health man were measured and analyzed by utilizing the respiration measurement sleeping pillow system. The pillow system could detect the respiration signals and had similar characteristics to the chest type BIOPAC respiration sensor used by medical doctors. The respiration rates of ten subjects were also measured. The average measurement accuracy was about 98.8%. The research results showed that this pillow system can be used to detect and analyze the respiration signal when sleeping for the better sleep management.

복부 움직임에 따른 초음파 근접센서를 이용한 호흡측정에 관한 연구 (Abdominal Wall Motion-Based Respiration Rate Measurement using An Ultrasonic Proximity Sensor)

  • 민세동;김진권;신항식;윤용현;이충근;이정환;이명호
    • 전기학회논문지
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    • 제58권10호
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    • pp.2071-2078
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    • 2009
  • In this paper, we proposed a non-contact respiration measurement system with ultrasonic proximity sensor. Ultrasonic proximity sensor approach of respiration measurement which respiration signatures and rates can be derived in real-time for long-term monitoring is presented. 240 kHz ultrasonic sensor has been applied for the proposed measurement system. The time of flight of sound wave between the transmitted signal and received signal have been used for a respiration measurement from abdominal area. Respiration rates measured with the ultrasonic proximity sensor were compared with those measured with standard techniques on 5 human subjects. Accurate measurement of respiration rate is shown from the 50 cm measurement distance. The data from the method comparison study is used to confirm the performance of the proposed measurement system. The current version of respiratory rate detection system using ultrasonic can successfully measure respiration rate. The proposed measurement method could be used for monitoring unconscious persons from a relatively close range, avoiding the need to apply electrodes or other sensors in the correct position and to wire the subject to the monitor. Monitoring respiration using ultrasonic sensor offers a promising possibility of non-contact measurement of respiration rates. Especially, this technology offers a potentially inexpensive implementation that could extend applications to consumer home-healthcare and mobile-healthcare products. Further advances in the sensor design, system design and signal processing can increase the range of the measurement and quality of the rate-finding for broadening the potential application areas of this technology.

전기용량성 섬유 압력센서를 이용한 호흡측정 시스템 (Respiration Measurement System using Textile Capacitive Pressure Sensor)

  • 민세동;윤용현;이충근;신항식;조하경;황선철;이명호
    • 전기학회논문지P
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    • 제59권1호
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    • pp.58-63
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    • 2010
  • In this paper, we proposed a wearable respiration measurement system with textile capacitive pressure sensor. Belt typed textile capacitive pressure sensor approach of respiration measurement, from which respiration signatures and rates can be derived in real-time for long-term monitoring, are presented. Belt typed textile capacitive pressure sensor has been developed for this measurement system. the distance change of two plates by the pressure of motion has been used for the respiration measurement in chest area. Respiration rates measured with the textile capacitive pressure sensor was compared with standard techniques on 8 human subjects. Accurate measurement of respiration rate with developed sensor system is shown. The data from the method comparison study is used to confirm theoretical estimates of change in capacitance by the distance change. The current version of respiratory rate detection system using textile capacitive pressure sensor can successfully measure respiration rate. It showed upper limit agreement of $3.7997{\times}10^{-7}$ RPM, and lower limit of agreement of $-3.8428{\times}10^{-7}$ RPM in Bland-Altman plot. From all subject, high correlation were shown(p<0.0001). The proposed measurement method could be used to monitor unconscious persons, avoiding the need to apply electrodes to the directly skin or other sensors in the correct position and to wire the subject to the monitor. Monitoring respiration using textile capacitive pressure sensor offers a promising possibility of convenient measurement of respiration rates. Especially, this technology offers a potentially inexpensive implementation that could extend applications to consumer home-healthcare and mobile-healthcare products. Further advances in the sensor design, system design and signal processing can increase the range and quality of the rate-finding, broadening the potential application areas of this technology.

광용적맥파(PPG)를 이용한 호흡수 측정에 있어서 동잡음을 이용한 정확도 향상 (Accuracy improvement of respiration rate based on photo-plethysmography by enhancing motion artifact)

  • 허영정;윤길원
    • 센서학회지
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    • 제17권6호
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    • pp.447-453
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    • 2008
  • Respiration rate is one of the important vital signs. Photo-plethysmography (PPG) measurement especially on a finger has been widely used in pulse oximetry and also used in estimating respiration rate. It is well known that PPG contains respiration-induced intensity variation (RIIV) signal. However, the accuracy of finger PPG method has been controversial. We introduced a new technique of enhancing motion artifact by respiration. This was achieved simply by measuring PPG on the thorax. We examined the accuracy of these two PPG methods by comparing with two existing methods based on thoracic volume and nostril temperature changes. PPG sensing on finger tip, which is the most common site of measurement, produced 6.1 % error. On the other hand, our method of PPG sensing on the thorax achieved 0.4 % error which was a significant improvement. Finger PPG is sensitive to motion artifact and it is difficult to recover fully small respiratory signal buried in waveform dominated by absorption due to blood volume changes. Thorax PPG is poor to represent blood volumes changes since it contains substantial motion artifact due to respiration. Ironically, this inferior quality ensures higher accuracy in terms of respiration measurement. Extreme low-cost and small-sized LED/silicon detector and non-constrained reflection measurement provide a great candidate for respiration estimation in ubiquitous or personal health monitoring.

칼만 필터를 이용한 흉곽 임피던스법 기반의 호흡 신호 계측시스템 개발 (Development of Pneumography Impedance Based Respiration Measurement System Using Kalman Filter)

  • 남은혜;최창현;김용주;신동렬
    • Journal of Biosystems Engineering
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    • 제33권5호
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    • pp.326-332
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    • 2008
  • A respiration measurement system for vital signs was developed. Respiration signals were measured, processed, and analyzed. Four electrodes, attached on the surface of the skin, were used to monitor respiration signals by impedance pneumography. The measured signals were amplified, detrended, filtered, and transferred toan embedded module. The Kalman filter was used to remove motion artifact from the respiration signals. Experiments were conducted at stable condition and walking condition to evaluate the performance of the system. Respiration rates of five males and five females were measured and analyzed at each condition. The referenced respiration signal was determined by temperature of nose surroundings. The results showed that the respiration rates at the walking condition had more motion artifacts than the stable condition. The accuracies of the respiration measurement system with Kalman filter were found as 96% at the stable condition and 95% at the walking condition. The results showed that the Kalman filter was an effective tool to remove the motion artifact from the respiration signal.

U-Health Care 환경에서 호흡측정을 위한 PPG 최적필터기술 (PPG Filtering Method for Respiration Measurement in U-Health Care System)

  • 김종화;황민철;남기창
    • 대한인간공학회지
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    • 제27권4호
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    • pp.95-101
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    • 2008
  • This research is to develop PPG filtering method for respiration measurement in U-Health Care system. Respiration rate was determined by filtering PPG and analyzing its spectrum. Optimal filter of PPG has been selected to get respiration by testing 120 sets of experiment data using 700 filtering cases. As a result, 2nd order Bessel-filter that used band-pass cutoff frequency at 0.175~0.4Hz with second order was good at developing respiration signal. Respiration signal in time domain could be continuously analyzed by converting frequency domain using spectrum analysis. 24 seconds has been found to be optimal time duration of collecting PPG data for determining respiration. Therefore, this study was successful of getting not only heart activity but also respiration by only PPG. Minimal invasive measurement obtaining multi-bio information by one sensor can be expected to apply to U-Health Care and human computer interaction.

Breathing Measurement and Sleep Apnea Detection Experiment and Analysis using Piezoelectric Sensor

  • Cho, Seokhyang;Cho, Seung-Ho
    • 한국컴퓨터정보학회논문지
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    • 제22권11호
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    • pp.17-23
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    • 2017
  • In this paper, we implemented a respiration measurement system consisting of piezoelectric sensor, respiration signal processing device, and a viewer on a notebook. We tried an experiment for measuring respiration and detecting sleep apnea syndrome when a subject lay on a bed. We applied the respiration measurement algorithm to sensor data obtained from four subjects. In order to get a good graph shape, data manipulation methods such as moving averages and maximum values were applied. The window size for moving average was chosen as N=70, and the threshold value for each subject was customized. In this case, the proposed system showed 96.0% accuracy. When the maximum value among 90 data was applied instead of moving average, our system achieved 95.1% accuracy. In an experiment for detecting sleep apnea syndrome, the system showed that sleep apnea occurred correctly and calculated the average interval of sleep apnea. While infants or the elderly as well as patients with sleep apnea syndrome are lying down on a bed, our results are also expected to be able to cope with some accidental emergency situation by observing their respiration and detecting sleep apnea.

The Modeling of the Differential Measurement of Air Pressure for Non-intrusive Sleep Monitoring Sensor System

  • Chee, Young-Joon;Park, Kwang-Suk
    • 대한의용생체공학회:의공학회지
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    • 제26권6호
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    • pp.373-381
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    • 2005
  • The respiratory and heart beat signals are the fundamental physiological signals for sleep monitoring in the home. Using the air mattress sensor system, the respiration and heart beat movements can be measured without any harness or sensor on the subject's body which makes long term measurement difficult and troublesome. The differential measurement technique between two air cells is adopted to enhance the sensitivity. The concept of the balancing tube between two air cells is suggested to increase the robustness against postural changes during the measurement period. With this balancing tube, the meaningful frequency range could be selected by the pneumatic filter method. The mathematical model for the air mattress and balancing tube was suggested and the validation experiments were performed for step and sinusoidal input. The results show that the balancing tube can eliminate the low frequency component between two cells effectively. This technique was applied to measure the respiration and heart beat on the bed, which shows the potential applications for sleep monitoring device in home. With the analysis of the waveform, respiration intervals and heart beat intervals were calculated and compared with the signal from conventional methods. The results show that the measurement from air mattress with balancing tube can be used for monitoring respiration and heart beat in various situations.

수면 관리 베개 시스템 (Sleep Management Pillow System)

  • 안도현;쩐밍;박재희
    • 융합신호처리학회논문지
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    • 제20권4호
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    • pp.212-217
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    • 2019
  • 본 논문에서 코골이 검출과 호흡 측정이 가능한 수면 관리 베개 시스템에 대해 연구 조사 하였다. 수면 관리 베개 시스템은 4개의 압력센서, 두 개의 마이크로폰, 하나의 베개, 측정 시스템으로 구성되어있다. 베개의 하단부에 설치된 4개의 압력 센서는 호흡 신호를 측정 하는데 사용되고, 베개 중앙 왼쪽과 오른 쪽에 설치된 두 개의 마이크로폰은 코골이 신호만 검출하는데 사용된다. 데이터 수집 장치와 컴퓨터로 구성된 측정 시스템을 사용하여 10명의 젊은 사람들의 코골이 신호와 호흡신호를 측정하였다. 호흡 신호 측정 정확도는 약 98%이였고, 코골이 신호 측정 정확도는 약 97% 이였다. 본 연구에서 수행된 실험 결과들이 수면 관리 베개 시스템이 수면 중 사람의 코골이 신호와 호흡신호를 측정하는데 사용 가능함을 보여 주고 있다.

토양호흡의 측정과 국내 연구 현황에 대한 고찰 (A Review on Soil Respiration Measurement and Its Application in Korea)

  • 이은혜;임종환;이재석
    • 한국농림기상학회지
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    • 제12권4호
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    • pp.264-276
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    • 2010
  • 본 연구는 토양호흡 측정방법을 소개하고 국내에서 관측된 토양호흡 자료를 고찰하고, 토양호흡 관측 자료 비교시 발생하는 문제점을 정리하였다. 토양호흡측정 방법은 측정원리에 따라 알칼리흡습법, 밀폐상법, 밀폐상역학법, 통기법으로 분류된다. 국내 토양호흡연구를 종합분석한 결과, 국내의 생태계에 적용 된 토양 호흡 측정 방법은 밀폐상역학법(62%), 알칼리흡습법(17%), 통기법(13%), 밀폐상법(8%)이 이용되었고 이러한 방법에 사용된 기기로는 LI-6400-09, EGM-3, EGM-4, 자동토양호흡측정기 등이 있다. 또한, 국내 토양호흡은 대부분 산림 생태계에 국한되어 관측이 이루어졌으며 관측된 평균 토양호흡은 130~900mg $CO_2\;m^{-2}h^{-1}$ 범위였다. 그러나 국내 토양호흡 관측이 산발적 불연속적으로 이루어져 축적된 자료가 매우 빈약한 실정이며, 토양호흡의 상호 비교 및 정량화를 위해 측정방법간의 비교 및 오차에 대한 검증된 연구가 없어 관측된 토양호흡값의 상호비교가 어려운 실정이다. 이로 인해 한반도 생태계의 탄소수지의 정확한 예측자료를 생산하기 위한 기초 자료로서의 가치를 저하시키고 있다. 한반도 탄소순환 메커니즘의 이해를 위해서는 보다 다양한 생태계의 토양호흡 관측이 시급히 이루어져야하며 토양호흡을 조절하는 환경요인과 상호작용에 관한 연구, 다양한 기상 조건을 포함하는 토양호흡 연구가 절실히 요구된다. 더불어 토양호흡의 발생원 별 구분에 대한 국내의 연구결과는 대단히 미약한 수준으로 토양호흡의 메카니즘이해와 정확한 탄소수지이해를 위해 발생원 별 토양호흡량 정량에 대한 연구가 이루어져야한다.