• 제목/요약/키워드: Physiological Sensor

검색결과 127건 처리시간 0.028초

pH-ISFET 요소센서의 감응특성 (Response Characteristics of pH-ISFET Urea Sensor)

  • 이흥락;양승태;윤종훈;김창수;손병기
    • 대한화학회지
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    • 제36권6호
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    • pp.864-871
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    • 1992
  • pH-ISFET와 urease막으로 이루어져 있는 요소센서를 제조하고, 그 감응특성을 조사하였다. pH-ISFET 요소센서는 pH-ISFET의 게이트 위에 glutaraldehyde로 BSA와 urease를 고정화시켜서 제작하였다. pH-ISFET 요소센서의 감응에 미치는 완충용액의 pH 및 농도와 효소의 양의 영향에 대하여 조사하였다. 합성생리염수(pH 7.4)로 만든 요소용액에 대한 감응 특성은 다음과 같다. 곧 직선감응농도범위, 감응기울기(감도) 및 감응시간은 각각 5.0 ${\times}$ $10^{-4}$ ${\sim}$ 5.0 ${\times}$ $10^{-2}$M, 31.6 mV/decade 및 4${\sim}$10분이다.

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손목형 웨어러블 디바이스에서 사람의 심박변화와 활동강도를 이용한 운동 검출 방법 (Exercise Detection Method by Using Heart Rate and Activity Intensity in Wrist-Worn Device)

  • 성지훈;최선탁;이주영;조위덕
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제8권4호
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    • pp.93-102
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    • 2019
  • 웰니스에 대한 관심이 증대됨에 따라 개인의 건강상태를 웨어러블 디바이스로 모니터링하는 연구들이 늘어나고 있다. 이에 따라 웨어러블 디바이스에서 운동과 일상 활동을 구분하는 다양한 방법들이 연구되어 왔다. 이러한 기존 연구는 대부분 기계학습을 활용한 방식이다. 하지만 개인별 학습 데이터에 의존적인 과적합 문제와 연속적인 사건으로 구성되는 사람의 행동을 독립적으로 취급하여 인식 결과가 중간에 끊기고 오인행동이 생기는 문제가 있다. 이에 본 연구는 운동 시 심박이 오르내리는 생체반응 원리를 기반으로 한 운동 상태 검출 방법을 제안한다. 제안하는 방법은 3축 가속도 센서와 PPG 센서를 통해 활동강도 및 심박 수를 산출하여 심박 회복기를 판단한 후, 활동강도 검사 또는 심박 상승기 검사를 통해 운동 상태를 검출한다. 실험 결과에서 제안하는 알고리즘은 평균 정확도 98.64%, 정밀도 98.05%, 재현율 98.62%로 기존 알고리즘보다 개선된 모습을 보였다.

Establishment of a NanoBiT-Based Cytosolic Ca2+ Sensor by Optimizing Calmodulin-Binding Motif and Protein Expression Levels

  • Nguyen, Lan Phuong;Nguyen, Huong Thi;Yong, Hyo Jeong;Reyes-Alcaraz, Arfaxad;Lee, Yoo-Na;Park, Hee-Kyung;Na, Yun Hee;Lee, Cheol Soon;Ham, Byung-Joo;Seong, Jae Young;Hwang, Jong-Ik
    • Molecules and Cells
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    • 제43권11호
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    • pp.909-920
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    • 2020
  • Cytosolic Ca2+ levels ([Ca2+]c) change dynamically in response to inducers, repressors, and physiological conditions, and aberrant [Ca2+]c concentration regulation is associated with cancer, heart failure, and diabetes. Therefore, [Ca2+]c is considered as a good indicator of physiological and pathological cellular responses, and is a crucial biomarker for drug discovery. A genetically encoded calcium indicator (GECI) was recently developed to measure [Ca2+]c in single cells and animal models. GECI have some advantages over chemically synthesized indicators, although they also have some drawbacks such as poor signal-to-noise ratio (SNR), low positive signal, delayed response, artifactual responses due to protein overexpression, and expensive detection equipment. Here, we developed an indicator based on interactions between Ca2+-loaded calmodulin and target proteins, and generated an innovative GECI sensor using split nano-luciferase (Nluc) fragments to detect changes in [Ca2+]c. Stimulation-dependent luciferase activities were optimized by combining large and small subunits of Nluc binary technology (NanoBiT, LgBiT:SmBiT) fusion proteins and regulating the receptor expression levels. We constructed the binary [Ca2+]c sensors using a multicistronic expression system in a single vector linked via the internal ribosome entry site (IRES), and examined the detection efficiencies. Promoter optimization studies indicated that promoter-dependent protein expression levels were crucial to optimize SNR and sensitivity. This novel [Ca2+]c assay has high SNR and sensitivity, is easy to use, suitable for high-throughput assays, and may be useful to detect [Ca2+]c in single cells and animal models.

이동 로봇을 위한 전정안반사 기반 비젼 추적 시스템의 인식 성능 평가 (Recognition Performance of Vestibular-Ocular Reflex Based Vision Tracking System for Mobile Robot)

  • 박재홍;반욱;최태영;권현일;조동일;김광수
    • 제어로봇시스템학회논문지
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    • 제15권5호
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    • pp.496-504
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    • 2009
  • This paper presents a recognition performance of VOR (Vestibular-Ocular Reflex) based vision tracking system for mobile robot. The VOR is a reflex eye movement which, during head movements, produces an eye movement in the direction opposite to the head movement, thus maintaining the image of interested objects placed on the center of retina. We applied this physiological concept to the vision tracking system for high recognition performance in mobile environments. The proposed method was implemented in a vision tracking system consisting of a motion sensor module and an actuation module with vision sensor. We tested the developed system on an x/y stage and a rate table for linear motion and angular motion, respectively. The experimental results show that the recognition rates of the VOR-based method are three times more than non-VOR conventional vision system, which is mainly due to the fact that VOR-based vision tracking system has the line of sight of vision system to be fixed to the object, eventually reducing the blurring effect of images under the dynamic environment. It suggests that the VOR concept proposed in this paper can be applied efficiently to the vision tracking system for mobile robot.

USB Driver 전송시스템 기반의 맥파 측정 시스템에 관한 연구 (A Study on Pulse Wave Measurement System Based on USB Driver Transmission System)

  • 김은근;박미경;한승신;허영
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 제38회 하계학술대회
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    • pp.1914-1915
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    • 2007
  • The period and strength of the pulse on the radial artery are important physiological factors, and they have been used to diagnosis in both Western and Eastern countries for a long time and has been developed as a unique method of diagnosis at each countries. Recently, there are a lot of systems which can give diagnosis information by recording the pulse wave and analyzing the characteristics of the pulse shape. This study describes the Pulse-Wave Measurement System which is able to measure the pulse wave signal using piezoresistive sensor and the pulse wave signal measured by the developed system is transmitted to a computer on the basis of the USB Driver. It has finally shown the the pulse wave signal measured by the sender is appeared to the host PC in real time. The Pulse-Wave Measurement System used the piezoresistive sensor to measure the pulse wave signal and the differential amplifier(AD620) to amplify the pulse wave signal which is small signal. And it used the ADC to convert analog to digital for the measured analog signal and the interface with a computer. It transmitted the measured pulse signal through USB transmission module to the host computer and Labview tool shows it. This Pulse-Wave measurement system will afford comvenience of detecting pulse wave to user related to oriental medicine.

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Development and physiological assessments of multimedia avian esophageal catheter system

  • Nakada, Kaoru;Hata, Jun-ichi
    • Journal of Multimedia Information System
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    • 제5권2호
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    • pp.121-130
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    • 2018
  • We developed multimedia esophageal catheters for use with birds to measure and record ECG and angular velocity while anesthesized, at rest, and in flight. These catheters enable estimates of blood pressure based on readings given by an angular velocity sensor and by RR intervals of ECG affected by EMG. In our experiments, the catheters had the following characteristics: 1. Esophageal catheters offer a topological advantage with 8-dB SNR improvement due to elimination of electromyography (EMG). 2. We observed a very strong correlation between blood pressure and the angular velocity of esophageal catheter axial rotation. 3. The impulse conduction pathway (Purkinje fibers) of the cardiac ventricle has a direction opposite to that of the mammalian pathway. 4. Sympathetic nerves predominate in flight, and RR interval variations are strongly suppressed. The electrophysiological data obtained by this study provided especially the state of the avian autonomic nervous system activity, so we can suspect individual's health condition. If the change of the RR interval was small, we can perform an isolation or screening from the group that prevent the pandemics of avian influenza. This catheter shall be useful to analysis an avian autonomic system, to perform a screening, and to make a positive policy against the massive infected avian influenza.

Quality Estimation of Net Packaged Onions during Storage Periods using Machine Learning Techniques

  • Nandita Irsaulul, Nurhisna;Sang-Yeon, Kim;Seongmin, Park;Suk-Ju, Hong;Eungchan, Kim;Chang-Hyup, Lee;Sungjay, Kim;Jiwon, Ryu;Seungwoo, Roh;Daeyoung, Kim;Ghiseok, Kim
    • 한국포장학회지
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    • 제28권3호
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    • pp.237-244
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    • 2022
  • Onions are a significant crop in Korea, and cultivation is increasing every year along with high demand. Onions are planted in the fall and mainly harvested in June, the rainy season, therefore, physiological changes in onion bulbs during long-term storage might have happened. Onions are stored in cold room and at adequate relative humidity to avoid quality loss. In this study, bio-yield stress and weight loss were measured as the quality parameters of net packaged onions during 10 weeks of storage, and the storage environmental conditions are monitored using sensor networks systems. Quality estimation of net packaged onion during storage was performed using the storage environmental condition data through machine learning approaches. Among the suggested estimation models, support vector regression method showed the best accuracy for the quality estimation of net packaged onions.

Systolic blood pressure measurement algorithm with mmWave radar sensor

  • Shi, JingYao;Lee, KangYoon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권4호
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    • pp.1209-1223
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    • 2022
  • Blood pressure is one of the key physiological parameters for determining human health, and can prove whether human cardiovascular function is healthy or not. In general, what we call blood pressure refers to arterial blood pressure. Blood pressure fluctuates greatly and, due to the influence of various factors, even varies with each heartbeat. Therefore, achievement of continuous blood pressure measurement is particularly important for more accurate diagnosis. It is difficult to achieve long-term continuous blood pressure monitoring with traditional measurement methods due to the continuous wear of measuring instruments. On the other hand, radar technology is not easily affected by environmental factors and is capable of strong penetration. In this study, by using machine learning, tried to develop a linear blood pressure prediction model using data from a public database. The radar sensor evaluates the measured object, obtains the pulse waveform data, calculates the pulse transmission time, and obtains the blood pressure data through linear model regression analysis. Confirm its availability to facilitate follow-up research, such as integrating other sensors, collecting temperature, heartbeat, respiratory pulse and other data, and seeking medical treatment in time in case of abnormalities.

A Pumilio Activity Sensor Reveals Bag-of-Marbles Inhibition of Pum Activity in the Drosophila Ovary

  • Wijeong Jang;Changsoo Kim
    • 한국발생생물학회지:발생과생식
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    • 제27권1호
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    • pp.39-46
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    • 2023
  • Pumilio (Pum) is an RNA-binding protein and translational repressor important to diverse biological processes. In the Drosophila ovary, Pum is expressed in female germline stem cells (GSCs), wherein it acts as an intrinsic stem cell maintenance factor via repressing target mRNAs that are as yet mostly unknown. Pum recognizes the Pum binding sequence (PBS) in the mRNA 3'UTR through its C-terminus Puf domain. Translational repression is mediated through its N-terminal domain, but the molecular mechanism remains largely unknown. We previously showed that Bag-of-marbles, a critical differentiation-promoting factor of female GSCs, physically interacts with the N-terminus of Pum. We further showed that this interaction is critical to Bam inhibition of Pum repressive action in cultured cells, but the physiological relevance was not addressed. Here we design an in vivo GFP translational reporter bearing the PBS in its 3'UTR and show that GFP expression is reduced in cells wherein Pum is known to be active. Furthermore, we demonstrate in pum mutant ovary that this GFP repression requires Pum, and also that the sensor faithfully monitors Pum activity. Finally, we show that forced expression of Bam inhibits Pum-mediated repression, validating that Bam inhibits Pum activity in vivo.

Development of Personalized Respiratory Training Device with Real-time Feedback for Respiratory Muscle Strengthening

  • Merve Nur Uygun;Yeong-geol Bae;Yejin Choi;Dae-Sung Park
    • Physical Therapy Rehabilitation Science
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    • 제12권3호
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    • pp.251-258
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    • 2023
  • Objective: The practice of breathing exercises involves altering the depth and frequency of respiration. Strengthening respiratory muscles plays a crucial role in maintaining overall health and well-being. The efficiency of the respiratory system affects not only physical activity but also various physiological processes including cardiovascular health, lung function, and cognitive abilities. The study evaluated the reliability of the developed device for inspiratory/expiratory training using pressure sensors and Bluetooth connectivity with a smartphone application. Design: Design & development research Methods: The research methodology involved connecting a custom-made respiratory sensor to an IMT-PEP BIC Breath device. Various pressure conditions were measured, and statistical analyses were performed to assess reliability and consistency. Results showed high Intraclass Coefficient Correlation (ICC) values for both inspiratory and expiratory pressures, indicating strong test-retest reliability. The device was designed for ease of use and wireless monitoring through a smartphone app. Results: This study conducted at expiratory pressure confirmed the proper operation of the IMT/PEP breathing trainer at the specified pressure setting in the product. The pressure sensor demonstrated high test-retest reliability with an ICC value of 0.999 for both expiratory and inspiratory pressure measurements. Conclusions: The developed respiratory training device measured and monitored inspiratory and expiratory pressures, demonstrating its reliability for respiratory training. The system could be utilized to record training frequency and intensity, providing potential benefits for patients requiring respiratory interventions. Further research is needed to assess the full potential of the device in diverse populations and applications.