• 제목/요약/키워드: Physiological Sensor

검색결과 127건 처리시간 0.02초

Self-powered Sensors based on Piezoelectric Nanogenerators

  • Rubab, Najaf;Kim, Sang-Woo
    • 센서학회지
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    • 제31권5호
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    • pp.293-300
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    • 2022
  • Flexible, wearable, and implantable electronic sensors have started to gain popularity in improving the quality of life of sick and healthy people, shifting the future paradigm with high sensitivity. However, conventional technologies with a limited lifespan occasionally limit their continued usage, resulting in a high cost. In addition, traditional battery technologies with a short lifespan frequently limit operation, resulting in a substantial challenge to their growth. Subsequently, utilizing human biomechanical energy is extensively preferred motion for biologically integrated, self-powered, functioning devices. Ideally suited for this purpose are piezoelectric energy harvesters. To convert mechanical energy into electrical energy, devices must be mechanically flexible and stretchable to implant or attach to the highly deformable tissues of the body. A systematic analysis of piezoelectric nanogenerators (PENGs) for personalized healthcare is provided in this article. This article briefly overviews PENGs as self-powered sensor devices for energy harvesting, sensing, physiological motion, and healthcare.

Basic Physiological Research on the Wing Flapping of the Sweet Potato Hawkmoth Using Multimedia

  • Nakajima, Isao;Yagi, Yukako
    • Journal of Multimedia Information System
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    • 제7권2호
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    • pp.189-196
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    • 2020
  • We have developed a device for recording biological data by inserting three electrodes and a needle with an angular velocity sensor into the moth for the purpose of measuring the electromyogram of the flapping and the corresponding lift force. With this measurement, it is possible to evaluate the moth-physiological function of moths, and the amount of pesticides that insects are exposed to (currently LD50-based standards), especially the amount of chronic low-concentration exposure, can be reduced the dose. We measured and recorded 2-channel electromyography (EMG) and angular velocity corresponding to pitch angle (pitch-like angle) associated with wing flapping for 100 sweet potato hawkmoths (50 females and 50 males) with the animals suspended and constrained in air. Overall, the angular velocity and amplitude of EMG signals demonstrated high correlation, with a correlation coefficient of R = 0.792. In contrast, the results of analysis performed on the peak-to-peak (PP) EMG intervals, which correspond to the RR intervals of ECG signals, indicated a correlation between ΔF fluctuation and angular velocity of R = 0.379. Thus, the accuracy of the regression curve was relatively poor. Using a DC amplification circuit without capacitive coupling as the EMG amplification circuit, we confirmed that the baseline changes at the gear change point of wing flapping. The following formula gives the lift provided by the wing: angular velocity × thoracic weight - air resistance - (eddy resistance due to turbulence). In future studies, we plan to attach a micro radio transmitter to the moths to gather data on potential energy, kinetic energy, and displacement during free flight for analysis. Such physiological functional evaluations of moths may alleviate damage to insect health due to repeated exposure to multiple agrochemicals and may lead to significant changes in the toxicity standards, which are currently based on LD50 values.

생체 신호처리를 위한 다채널 텔레미터용 IC 설계 (Design of Multichannel Telemetering IC for Physiological Signals)

  • 박종대;서희돈;최세곤
    • 센서학회지
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    • 제1권2호
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    • pp.147-154
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    • 1992
  • 본 논문은 생체 신호를 얻기 위한 생체삽입형 8-채널 바이오텔레메트리 시스템을 설계하였다. 본 시스템의 내부회로는 가능한 한 소형이고 저소비 전력화하였을 뿐만아니라 synchronization gap을 주기로 생채신호의 연속측정을 가능하도록 설계하였다. 본 시스템의 주된 기능은 생체신호 연속측정과 외부회로의 적절한 명령에 의해 생체 삽입 전지를 On, off하여 소비전력을 줄일 수 있도록 하였다. 또한 체내 삽입시스템을 집적화하기 위해 람다룰을 기본으로 한 $2{\mu}m$ n-well 설계규칙에 의해 레이아웃을 수행하였다. 그러므로 국내에서 개발되고 있는 압력센서나 ISFET 등을 본 시스템과 함께 삽입하여 생체신호, 즉 심전도, 혈류량, 혈압 등을 측정해 외부로 전송하는 의용 텔레메트리 시스템이 기대된다.

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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.

A New-Generation Fluorescent-Based Metal Sensor - iLOV Protein

  • Ravikumar, Yuvaraj;Nadarajan, Saravanan Prabhu;Lee, Chong-Soon;Rhee, Jin-Kyu;Yun, Hyungdon
    • Journal of Microbiology and Biotechnology
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    • 제25권4호
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    • pp.503-510
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    • 2015
  • The iLOV protein belongs to a family of blue-light photoreceptor proteins containing a light-oxygen-voltage sensing domain with a noncovalently bound flavin mononucleotide (FMN) as its chromophore. Owing to advantages such as its small size, oxygen-independent nature, and pH stability, iLOV is an ideal candidate over other reporter fluorescent proteins such as GFP and DsRed. Here, for the first time, we describe the feasibility of applying LOV domain-based fluorescent iLOV as a metal sensor by measuring the fluorescence quenching of a protein with respect to the concentration of metal ions. In the present study, we demonstrated the inherent copper sensing property of the iLOV protein and identified the possible amino acids responsible for metal binding. The fluorescence quenching upon exposure to Cu2+ was highly sensitive and exhibited reversibility upon the addition of the metal chelator EDTA. The copper binding constant was found to be 4.72 ± 0.84 µM. In addition, Cu2+-bound iLOV showed high fluorescence quenching at near physiological pH. Further computational analysis yielded a better insight into understanding the possible amino acids responsible for Cu2+ binding with the iLOV protein.

Detecting of Periodic Fasciculations of Avian Muscles Using Magnetic and Other Multimedia Devices

  • Nakajima, Isao;Tanaka, Sachie;Mitsuhashi, Kokuryo;Hata, Jun-ichi;Nakajima, Tomo
    • Journal of Multimedia Information System
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    • 제6권4호
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    • pp.293-302
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    • 2019
  • In the past, there was a theory that influenza wasn't transmitted directly from birds but was infected to humans via swains. Recently, molecular level research has progressed, and it was confirmed that the avian influenza virus can directly infected to human lung and intestinal epithelial cells. Three pandemicsin the past 100 years were also infected to humans directly from birds. In view of such scientific background, we are developing a method for screening sick birds by monitoring the physiological characteristics of birds in a contactless manner with sensors. Here, the movement of respiratory muscles and abdominal muscles under autonomic innervation was monitored using a magnet and Hall sensor sewn on the thoracic wall, and other multimedia devices. This paper presents and discusses the results of experiments involving continuous periodic noise discovered during flight experiments with a data logger mounted on a Japanese pheasant from 2012 to 2015. A brief summary is given as the below: 1. Magnet and Hall sensor sewn to the left and right chest walls, bipolar electrocardiograms between the thoracic walls, posterior thoracic air sac pressure, angular velocity sensors sewn on the back and hips, and optical reflection of LEDs (blue and green) from the skin of the hips allow observation of periodic vibrations(fasciculations) in the waves. No such analysis has been reported before. 2. These fasciculations are presumed to be derived from muscle to maintain and control air sac pressure. 3. Since each muscle fiber is spatially Gaussian distributed from the sympathetic nerve, the envelope is assumed to plot a Gaussian curve. 4. Since avian trunk muscles contract periodically at all time, we assume that the sympathetic nerve dominates in their control. 5. The technique of sewing a magnet to the thoracic wall and measuring the strength of the magnetic field with a Hall sensor can be applied to screen for early stage of avian influenza, with a sensor attached to the chicken enclosure.

완충용액과 효소고정화막의 조성에 따른 pH-ISFET 포도당센서의 감응특성 (Optimization of Response Characteristics of pH-ISFET Glucose Sensor)

  • 이흥락;양승태;정동숙;김창수;손병기
    • 분석과학
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    • 제5권2호
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    • pp.177-184
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    • 1992
  • pH-ISFET와 glucose oxidase막으로 구성되어 있는 포도당센서를 제조하고, 그 감응특성을 조사하였다. pH-ISFET 포도당센서는 pH-ISFET의 gate 위에 glutaraldehyde로서 bovine serum albumin과 glucose oxidase를 고정화시켜서 제작하였다. pH-ISFET 포도당센서의 감응에 미치는 완충용액의 pH 및 농도와 효소의 양의 영향에 대하여 조사였다. 합성생리염수(pH 7.4)로 만든 포도당용액에 대한 감응특성은 다음과 같다. 곧, 직선감응농도 범위, 감응기울기(감도) 및 감응시간은 각각 $1.0{\times}10^{-4}{\sim}6.0{\times}10^{-3}M$, 4.1 mV/decade 및 12~15분이다.

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다중 웨어러블 센서를 활용한 운전자 상태 인식 (Driver's Status Recognition Using Multiple Wearable Sensors)

  • 신의섭;김명국;이창욱;강행봉
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제6권6호
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    • pp.271-280
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    • 2017
  • 본 논문에서는 자동차의 안전운전을 위해서 운전자의 생체정보를 수집하여 운전자의 상태에 따라 운전자에게 적절한 경보를 하거나, 직접 자동자를 제어할 수 있는 기반 시스템을 제시하였다. 기존의 운전자 얼굴정보를 촬영하여 정보를 획득하거나, 운전자의 시트나 스티어링 휠에 센서를 장착하여 생제정보를 획득하는 방식이 부정확하거나 단속적인 정보만을 얻을 수 있는데 비하여, 본 논문에서 제시한 웨어러블 장치는 의료장비 수준의 정확도를 얻을 수 있었으며, 지속적으로 높은 정확도의 생체신호를 얻을 수 있었다. 개발된 웨어러블 장치에는 심박, 피부전도도, 피부온도를 측정할 수 있는 센서를 장착하였으며, 자동차에서 발생되는 각종 잡음을 제거할 수 있는 필터 기술을 적용하였고, 가속도센서와 자이로 센서를 장착하여 측정 오차를 제거하는 기술을 적용하였다. 수집된 생체신호를 바탕으로 운전자의 상태를 판별할 수 있는 기준을 제시하였고, 공인인증기관에 의뢰하여 의료수준 정도의 정확성이 있음을 검증하였다. 실험실 시험과 실차 시험을 통하여 개발된 장치가 운전자의 상태를 측정할 수 있는 장치로 활용될 수 있음을 검증하였다.

Carbon fiber 후막형 열전센서 소자를 이용한 적외선 체열진단 (The Method of Thermograph using Thermoelectric Sensor Device in the Carbon fiber Thick Films)

  • 송민종;동경래;김창복;최성관;박용순
    • 대한디지털의료영상학회논문지
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    • 제12권2호
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    • pp.145-150
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    • 2010
  • Thick films of carbon fiber were prepared by a heating element of plan shape made in Darin co., We have investigated surface morphology of the specimen depending on heat-treatment temperatures. Scanning electron microscope(SEM) image of carbon fiber thick films of the specimen heat treated shows a grain growth at $1200^{\circ}C$ and becomes a poly-crystallization at $1350^{\circ}C$. The variation of resistivity at the thermally annealed specimen above $600^{\circ}C$ depends on type of the substrates. It may be due to a variation of film thickness and a difference of interfacial phenomena. A heating element of features was affected significantly by skin blood and quantity of heat of the body physiological function. After radiation of farinfrared for plate heating element, the function of biometric physiological is considered of skin blood flow and calorie which greatly affects on individuals. Electromagnetic wave was not influence on the body.

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Real-world multimodal lifelog dataset for human behavior study

  • Chung, Seungeun;Jeong, Chi Yoon;Lim, Jeong Mook;Lim, Jiyoun;Noh, Kyoung Ju;Kim, Gague;Jeong, Hyuntae
    • ETRI Journal
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    • 제44권3호
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    • pp.426-437
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    • 2022
  • To understand the multilateral characteristics of human behavior and physiological markers related to physical, emotional, and environmental states, extensive lifelog data collection in a real-world environment is essential. Here, we propose a data collection method using multimodal mobile sensing and present a long-term dataset from 22 subjects and 616 days of experimental sessions. The dataset contains over 10 000 hours of data, including physiological, data such as photoplethysmography, electrodermal activity, and skin temperature in addition to the multivariate behavioral data. Furthermore, it consists of 10 372 user labels with emotional states and 590 days of sleep quality data. To demonstrate feasibility, human activity recognition was applied on the sensor data using a convolutional neural network-based deep learning model with 92.78% recognition accuracy. From the activity recognition result, we extracted the daily behavior pattern and discovered five representative models by applying spectral clustering. This demonstrates that the dataset contributed toward understanding human behavior using multimodal data accumulated throughout daily lives under natural conditions.