• Title/Summary/Keyword: 호흡신호

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A Design of Animal Disease Prevention Monitoring System using Zigbee (Zigbee을 이용한 동물 질병 예방 감시 시스템의 설계)

  • Jung, Hyon-Chel;Park, Myeong-Chul
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.07a
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    • pp.417-418
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    • 2014
  • 본 논문에서는 무선 바이오센서 기반에서 동물 생체측정 정보를 이용한 질병 예방 감시 시스템을 설계하였다. 제안 시스템은 바이오센서를 이용하여 동물의 심박, 호흡수, 운동량을 측정할 수 있는 모듈을 개발하고 생체 신호를 계측하여 신호 처리된 정보를 Zigbee 무선 통신모듈을 이용하여 원격 데이터베이스에 전송하도록 설계하였다. 모니터링 시스템에서는 수집된 생체 정보의 연속적인 변화를 통하여 가축의 이상여부를 판단하고 질병 발생여부를 조기에 발견할 수 있게 가축의 상태정보를 제공한다. 본 연구결과는 향후 축산 농가의 질병 감시를 통하여 질병의 확산을 차단할 수 있는 긴급대처시스템을 구축하는데 활용 될 것이다.

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MRI Artifact Correction due to Respiratory Motion (호흡운동에 따른 MRI 아티팩트 수정)

  • 김응규;김규헌
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2003.06a
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    • pp.58-61
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    • 2003
  • In this study, a planar respiratory motion is modeled by a 2-D linear expanding-shrinking movement. According to the introduced model, respiratory motion imposes phase error, non-uniform sampling and amplitude modulation distortions on the acquired MRI data. When the motion parameters are known or can be estimated, a construction algorithm based on superposition method was used to remove the MRI artifact. For the purpose of estimating unknown motion parameters, we used the spectrum shift method to find the respiratory fluctuation function, the x directional expansion coefficient and its center, and we also used the minimum energy method to find the y directional expansion coefficient and its center. Finally the effectiveness of this presented method is shown by computer simulations.

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Multimodal biosignal measurement sensor and analysis system (멀티모달 바이오신호 측정센서 및 분석 시스템)

  • Jeong, Kwanmoon;Moon, Chanki;Nam, Yunyoung;Lee, Jinsook
    • Annual Conference of KIPS
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    • 2015.04a
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    • pp.1049-1050
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    • 2015
  • e-health보드를 이용하여 측정한 생체신호를 실시간으로 블루투스통신을 통한 무선통신을 함으로서 PC와 연결한다. PC에서 송신된 데이터를 텍스트로 저장한 뒤 c#으로 체온, 심전도, 근전도, 피층 전기 반응, 호흡 5가지의 결과 값을 그래프로 보여준다.

An accuracy analysis of Cyberknife tumor tracking radiotherapy according to unpredictable change of respiration (예측 불가능한 호흡 변화에 따른 사이버나이프 종양 추적 방사선 치료의 정확도 분석)

  • Seo, jung min;Lee, chang yeol;Huh, hyun do;Kim, wan sun
    • The Journal of Korean Society for Radiation Therapy
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    • v.27 no.2
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    • pp.157-166
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    • 2015
  • Purpose : Cyber-Knife tumor tracking system, based on the correlation relationship between the position of a tumor which moves in response to the real time respiratory cycle signal and respiration was obtained by the LED marker attached to the outside of the patient, the location of the tumor to predict in advance, the movement of the tumor in synchronization with the therapeutic device to track real-time tumor, is a system for treating. The purpose of this study, in the cyber knife tumor tracking radiation therapy, trying to evaluate the accuracy of tumor tracking radiation therapy system due to the change in the form of unpredictable sudden breathing due to cough and sleep. Materials and Methods : Breathing Log files that were used in the study, based on the Respiratory gating radiotherapy and Cyber-knife tracking radiosurgery breathing Log files of patients who received herein, measured using the Log files in the form of a Sinusoidal pattern and Sudden change pattern. it has been reconstituted as possible. Enter the reconstructed respiratory Log file cyber knife dynamic chest Phantom, so that it is possible to implement a motion due to respiration, add manufacturing the driving apparatus of the existing dynamic chest Phantom, Phantom the form of respiration we have developed a program that can be applied to. Movement of the phantom inside the target (Ball cube target) was driven by the displacement of three sizes of according to the size of the respiratory vertical (Superior-Inferior) direction to the 5 mm, 10 mm, 20 mm. Insert crosses two EBT3 films in phantom inside the target in response to changes in the target movement, the End-to-End (E2E) test provided in Cyber-Knife manufacturer depending on the form of the breathing five times each. It was determined by carrying. Accuracy of tumor tracking system is indicated by the target error by analyzing the inserted film, additional E2E test is analyzed by measuring the correlation error while being advanced. Results : If the target error is a sine curve breathing form, the size of the target of the movement is in response to the 5 mm, 10 mm, 20 mm, respectively, of the average $1.14{\pm}0.13mm$, $1.05{\pm}0.20mm$, with $2.37{\pm}0.17mm$, suddenly for it is variations in breathing, respective average $1.87{\pm}0.19mm$, $2.15{\pm}0.21mm$, and analyzed with $2.44{\pm}0.26mm$. If the correlation error can be defined by the length of the displacement vector in the target track is a sinusoidal breathing mode, the size of the target of the movement in response to 5 mm, 10 mm, 20 mm, respective average $0.84{\pm}0.01mm$, $0.70{\pm}0.13mm$, with $1.63{\pm}0.10mm$, if it is a variant of sudden breathing respective average $0.97{\pm}0.06mm$, $1.44{\pm}0.11mm$, and analyzed with $1.98{\pm}0.10mm$. The larger the correlation error values in both the both the respiratory form, the target error value is large. If the motion size of the target of the sine curve breathing form is greater than or equal to 20 mm, was measured at 1.5 mm or more is a recommendation value of both cyber knife manufacturer of both error value. Conclusion : There is a tendency that the correlation error value between about target error value magnitude of the target motion is large is increased, the error value becomes large in variation of rapid respiration than breathing the form of a sine curve. The more the shape of the breathing large movements regular shape of sine curves target accuracy of the tumor tracking system can be judged to be reduced. Using the algorithm of Cyber-Knife tumor tracking system, when there is a change in the sudden unpredictable respiratory due patient coughing during treatment enforcement is to stop the treatment, it is assumed to carry out the internal target validation process again, it is necessary to readjust the form of respiration. Patients under treatment is determined to be able to improve the treatment of accuracy to induce the observed form of regular breathing and put like to see the goggles monitor capable of the respiratory form of the person.

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Estimation of Tension Status for Alcohol Dependent Patients using Biofeedback Training and Fuzzy Theory (피지이론과 바이오피드백을 이용한 주정중독증 환자의 긴장도 평가)

  • 성홍모;시재우;윤영로;윤형로;박진한;신정호
    • Journal of Biomedical Engineering Research
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    • v.20 no.2
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    • pp.191-198
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    • 1999
  • Biofeedback training is one of physiological self control methods for patients who has psychological problem and rehabilitational problem. It has been used to control blood pressure, heart rate, peripheral temperature, respiration, electromyography (ENG), and other biological signals-ENG, respiration, heat rate, peripheral temperature, skin conductance level-was developed in house. We applied this system to alcohol dependent patients to perform biofeedback training. In this experiment, the relaxation biofeedback training for alcohol dependent patient was carried out and the tension state for the change of biological signals were estimated using the fuzzy theory after relaxation biofeenback training. Eight alcohol dependent patients were agreed to participate in this experiment. Result showed that 1) the tension degree of patients were higher than the tension degree of normal subject. 2) The tension degree of patients were decreased as the training numbers were increased.

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A Development of Non-Invasive Body Monitoring IOT Sensor for Smart Silver Healthcare (스마트 실버 헬스케어를 위한 비접촉 인체감지 IOT 센서 개발)

  • Kang, Byung Wuk;Kim, Sang Hee
    • Journal of the Institute of Convergence Signal Processing
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    • v.19 no.1
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    • pp.28-34
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    • 2018
  • This paper is composed of a passenger management system using a temperature sensing module, a PIR sensor module for detecting movement inside a room, and a smart breath sensing module for determining a sleeping state. An embedded sensor module and a communication system integrated the sensing part and the algorithm driving part. As the aging society is accelerating and becoming more upgraded, the social cost of Silver Care increases, and in order to protect privacy, it is necessary to reduce costs by developing efficient smart silver care devices. The proposed non - image human body detection IOT sensor system is implemented by hardware and software and has superior performance compared with conventional image monitoring method.

Implementation of a Black-Box Program Monitoring Abnormal Body Reactions (부정기적 발생 신체이상 모니터링 블랙박스 프로그램 구현)

  • Kim, Won-Jin;Yoon, Kwang-Yeol
    • The Journal of the Korea institute of electronic communication sciences
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    • v.7 no.3
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    • pp.671-677
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    • 2012
  • A black-box program was implemented in order to monitor abnormal symptoms of human body irregularly occurring during sleep. The system consists of sensor probing body signals, auxiliary devices such as the alarm, lamp, network camera, and signal monitoring computer. Various types of sensors, PPG, ECG, EEG, temperature, respiration sensor, G-sensor, and microphone were used to more exactly identify the causes of abnormal symptoms. If a symptom occurs, the system records the patient's condition to provide information being utilized in the treatment. The sensors are attached on some locations of body being proper to check a specific type of abnormal reaction. Based on the normal range and type of measurement data, criteria of signal levels were set to distinguish abnormal reaction. An abnormal signal being probed, the program starts to operate the lamp, alarm, and network camera at the same time and stores the signal and video data.

Design of Filter to remove motion artifacts of PPG signal using Amplitude Modulation of Optical Power and Independent Components Analysis (광전력 진폭변조와 ICA를 이용한 PPG 신호의 동잡음 제거 필터 설계)

  • Lee, Ju-Won;Lee, Byoung-Ro
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.3
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    • pp.691-697
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    • 2013
  • Recently, u-healthcare device is developed and commercialized for healthcare management and emergency medical. The kinds of the measurable biomedical signals on the device are electrocardiogram, skin temperature, pulse oxygen, heart rate, respiration, etc. Specially, the photoplethysmograph(PPG) signal of these signals is the important signal in measuring oxygen, heart rate and peripheral vascular compliance. The accuracy of PPG signal reduce from influence of the motion artifacts that generated from the movements of user or patient. Therefore, this study suggests a new method to remove the motion artifact that is using optical power modulation and ICA(Independent Component Analysis). For analyzing the proposed method, we used variety of noises made by artificially. In the results of experiments, the proposed method showed good performances than an adaptive filter.

A Study On The Classification Of Driver's Sleep State While Driving Through BCG Signal Optimization (BCG 신호 최적화를 통한 주행중 운전자 수면 상태 분류에 관한 연구)

  • Park, Jin Su;Jeong, Ji Seong;Yang, Chul Seung;Lee, Jeong Gi
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.905-910
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    • 2022
  • Drowsy driving requires a lot of social attention because it increases the incidence of traffic accidents and leads to fatal accidents. The number of accidents caused by drowsy driving is increasing every year. Therefore, in order to solve this problem all over the world, research for measuring various biosignals is being conducted. Among them, this paper focuses on non-contact biosignal analysis. Various noises such as engine, tire, and body vibrations are generated in a running vehicle. To measure the driver's heart rate and respiration rate in a driving vehicle with a piezoelectric sensor, a sensor plate that can cushion vehicle vibrations was designed and noise generated from the vehicle was reduced. In addition, we developed a system for classifying whether the driver is sleeping or not by extracting the model using the CNN-LSTM ensemble learning technique based on the signal of the piezoelectric sensor. In order to learn the sleep state, the subject's biosignals were acquired every 30 seconds, and 797 pieces of data were comparatively analyzed.

Development of Bubble Detector for Extracorporeal Circulation Support System (체외 순환 보조 장치 위한 공기방울 감지 장치 개발)

  • Lee, Hyuk-Soo
    • Journal of the Institute of Convergence Signal Processing
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    • v.11 no.4
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    • pp.298-302
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    • 2010
  • Extracorporeal circulation support system is a device for repiratory and heart failure treatment, and there have been many trials for development and clinical application in the world. These devices need to be careful while using is air embolism. Air embolism can be a lethal complication of surgical procedures during which venous pressure at the site of surgery is sub-atmospheric or air is forced under pressure into a body cavity or using extracorporeal circulation support system. To solve the problem, we developed the air detector using relative dielectric constant change. In experiments with a mock circulation system, the proposed system showed a signal difference depending on the amount of air in the tube.