• Title/Summary/Keyword: 데이터 모니터링

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Preprocessing in a Noninvasive Sensor System (비침습적 센서 시스템에서 전처리 연산)

  • Oh, Hyun-Kyo;Keum, Hyouseob;Cho, Seung-Ho;Kim, Heong-Tae;Moon, Bong-Hee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.05a
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    • pp.83-85
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    • 2013
  • 본 연구는 사용자가 센서를 의식하지 않고 편안하게 일상생활을 영위할 수 있는 비침습적 방식의 센서를 활용하여 향후 침대 위에 있는 사람의 움직임을 정량적으로 측정하고자 한다. 이러한 목적으로 필름 형태의 압전센서를 사용하는 센서 시스템을 구축하였으며, 본 논문에서는 구축된 시스템에서 필요한 전처리 과정을 제시한다. 본 연구에서 사용된 압전센서는 침대 매트리스 아래에 설치하였다. 사람의 움직임에 의한 압전센서의 출력 신호를 증폭하고 샘플링하여 PC로 전송하는 컨트롤러, 컨트롤러로부터 센서 데이터를 수신하고, 사용자에게 센서 데이터를 시각적으로 제시하는 모니터링 프로그램을 개발하였다. 본 연구에서는 컨트롤러에서의 노이즈 제거, 증폭, 샘플링 등의 전처리, 모니터링 프로그램에 의해 수집된 센서 데이터에 대한 이동 평균 필터, 불필요한 움직임이 없는 구간을 제거 후 움직임이 있는 구간 추출 등의 전처리 과정을 제시한다. 이러한 전처리 연산은 향후 침대 위 인체의 움직임을 정량적으로 측정하고, 행동유형을 식별하는데 기여하게 될 것이다.

Intrabed Networks in a Patient Monitoring System (환자 모니터링 시스템에서의 통신 방식(I) : 인트라베드 통신망)

  • 우응제;박승훈;김경수;최근호;김승태;이희철;서재준;김형진
    • Journal of Biomedical Engineering Research
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    • v.18 no.4
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    • pp.373-380
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    • 1997
  • In this paper, we describe the intrabed network in a patient monitoring system we developed The intrabed network handles data communication between the main unit of a bedside patient monitor and parameter modules plugged in it. We designed the intrabed network based on RS-485 and HDLC protocol with 1 Mbps data rate. Message exchanges are implemented based on three data structures of packet frame. and stream. We present the specification and the performance of the data communication network for the developed patient monitor.

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A Study on the Implementation of Mobile Healthcare System using Hybrid App (하이브리드 앱을 이용한 모바일 헬스케어 시스템 구현에 관한 연구)

  • Cho, Yang-Hyun;Kim, Sung Wan;Jeong, Pil-Seong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.2
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    • pp.503-514
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    • 2013
  • Mobile Healthcare is a new type of health care services for managing health and life irrespective of time and space by uniting IT and BT. For this service bio-signal measurement using WBAN, and data analysis and monitoring technologies based on mobile devices are essential. Generally, however, mobile application has low compatibility because of the features of mobile platform, we have to redevelop it to support the corresponding platform. In this paper we introduce a Mobile Healthcare System which can function as gateway and monitoring based on hybrid app to create ubiquitous healthcare monitoring system compatible with various mobile devices by overcoming the difference of platforms. The proposed system consists of sensor composition part, monitoring composition part, and server composition part.

A Web-based Realtime Monitoring System for Photobioreactor (웹-기반 실시간 광생물 반응기 모니터링 시스템)

  • Sung, Won-Ki;Kim, Sung-Soo;Lee, Je-Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.9
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    • pp.4341-4348
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    • 2012
  • This paper presents a web-based real-time monitoring system for a photobioreactor using an WiFi wireless network. An WiFi interface can support high speed data transfer, up to 11Mbps and it can be compatible with commercial wireless LAN environment. Thus, the proposed cell culture based on WiFi network can be easily applied to the reconfigurable system and real-time monitoring system. In this paper, we integrate the commercial WiFi module to the various bio-sensors and sensor control board to configure the wireless network. After we evaluate application S/W for monitoring the environment within incubator, we verify the proposed sensor networks for a cell culture system and its monitoring system. This result can be applicable for various bio-applications that require the network configuration and real-time monitoring system.

Design and Implementation of Smart Home Security Monitoring System based on Raspberry Pi2 (라즈베리 파이2 기반의 스마트 홈 시큐리티 모니터링 시스템 설계 및 구현)

  • Lee, Hyoung-Ro;Lin, Chi-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.5
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    • pp.131-136
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    • 2016
  • In this paper, we propose an Raspberry Pi2-based smart home security monitoring system. Proposed home security monitoring system was configured using a relatively tractable main processor raspberry pi2, ultrasonic sensors, and PIR sensors. In addition, The picamera is compatible with raspberry pi2 was connected to the servo motor. And by driving the attacker's location the video was recording. The Web server stores data of the recorded image and the sensor, and provides a web page to enable the monitoring at all remote locations. When examining efficiency of proposed home security monitoring system it was found that proposed system is easier to be made than existing home security system and is able to minimize the blind spot of the camera by using servo motor and is efficient and convenient and stable as it enables a user to handle an error in person and it uses reliable data.

Production and Process Monitoring of 5-Aminolevulinic Acid (ALA) by Recombinant E. coli II. process Monitoring by a 2-Dimensional Fluorescence Sensor (유전자 재조합 대장균에 의만 5-Aminolevulinic Acid (ALA)의 생산 및 공정 모니터링 II. 2차원 형광센서에 의안 공정 모니터링)

  • 이종일;정상윤;임용식;정상욱
    • KSBB Journal
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    • v.19 no.1
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    • pp.27-32
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    • 2004
  • 2-Dimensional fluorescence sensor has a wide range of excitation and emission wavelengths, that some biogenic fluorphors in a biological process can be monitored simultaneously. The production processes of 5-aminolevulinic aicd (ALA) by recombinant E. coli BL21 (DE3) pLysS harboring plasmid pFLS45 were on-line monitored by a 2-dimensional fluorescence sensor The characteristics of fluorescence spectrum was dependent upon physical and biological factors of a bioprocess such as culture pH, cell mass etc. Some off-line data were correlated to the fluorescence intensity well, which was monitored at some combination of excitation and emission wavelengths by the 2-dimensional fluorescence sensor.

A Lightweight HL7 Message Strategy for Real-Time ECG Monitoring (실시간 심전도 모니터링을 위한 HL7 메시지 간소화 전략)

  • Lee, Kuyeon;Kang, Kyungtae;Lee, Jaemyoun;Park, Juyoung
    • KIISE Transactions on Computing Practices
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    • v.21 no.3
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    • pp.183-191
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    • 2015
  • Recent developments in IT have made real-time ECG monitoring possible, and this represents a promising application for the emerging HL7 standard for the exchange of clinical information. However, applying the HL7 standard directly to real-time ECG monitoring causes problems, because the partial duplication of data within an HL7 message increases the amount of data to be transmitted, and the time taken to process it. We reduce these overheads by Feature Scaling, by standardizing the range of independent variables or features of data, while nevertheless generating HL7-compliant messages. We also use a De-Duplication algorithm to eliminate the partial repetition of the OBX field in an HL7 ORU message. Our strategy shortens the time required to create messages by 51%, and reduces the size of messages by 1/8, compared to naive HL7 coding.

Performance Comparisons of Wavelet Based T2-Test and Neural Network in Monitoring Process Profiles (공정프로파일 모니터링에서 웨이블릿기 반 T2-검정과 신경회로망의 성능비교)

  • Kim, Seong-Jun;Choi, Deok-Ki
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.6
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    • pp.737-745
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    • 2008
  • Recent developments of process and measurement technology bring much interest to the online monitoring of process operations such as milling, grinding, broaching, etc. The objective of online monitoring systems is to detect process changes as early as possible. This is helpful in protecting facilities against unexpected failures and then preventing unnecessary loss. This paper investigates, when the process monitoring data are obtained as a profile, the monitoring performances of a statistical $T^2$-statistic and a feedforward neural network by using a wavelet transform. Numerical experiments using cutting force data presented by Axinte show that the proposed wavelet based $T^2$-test has an acceptable power in detecting profile changes. However, its operating characteristic is very sensitive to autocorrelation. On the contrary, compared with $T^2$-test, the neural network has more stable performance in the presence of autocorrelation. This indicates that an adaptive feature to analyze noises should be incorporated into the wavelet based $T^2$-test.

Monitoring System for the Elderly Living Alone Using the RaspberryPi Sensor (라즈베리파이 센서를 활용한 독거노인 모니터링 시스템)

  • Lee, Sung-Hoon;Lee, June-Yeop;Kim, Jung-Sook
    • Journal of Digital Contents Society
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    • v.18 no.8
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    • pp.1661-1669
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    • 2017
  • In 2017, Korea has reached 1.3 million elderly people living alone. The government is promoting the basic care service for the elderly by using care workers to check the security of the elderly living alone. However, due to lack of service personnel and service usage rate of elderly care workers, it is difficult to manage. To improve these environmental constraints, this study attempted to construct a monitoring system for elderly people living alone by using sensors such as temperature, humidity, motion detection, and gas leak detection. The sensor periodically collects the current status data of the elderly and sends them to the server, creates a real time graph based on the data, and monitors it through the web. In the monitoring process, when the sensor is out of the range of the specified value, it sends a warning text message to the guardian to inform the current situation, and is designed and implemented so as to support the safety life of the elderly living alone.

Real-Time Monitoring of ECG Signal under Ubiquitous Environment (유비쿼터스 환경 하의 실시간 심전도 신호 모니터링)

  • Kim, Jungjoon;Kim, Jin-Sub;Ryu, Chunha;Kim, Jeong-Hong;Park, Kil-Houm
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38B no.9
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    • pp.728-735
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    • 2013
  • In this paper, we present a method of transmitting ECG signals in real-time mobile environment to be possible to implement the ubiquitous healthcare system. Because of the excessive amount of data transmission of ECG signals, it is necessary to propose a limitation to the real-time transmission. We propose a real-time electrocardiographic monitoring system based on the proposal of unusual waveform detection algorithm which detects the R-wave distortions from the arrhythmia ECG signals having unusual waveform of about 10% on average. It is very effective in terms of time and cost for medical staffs to monitor and analyze ECG signals for a long period of time. Monitoring unusual waveform by gradually adjusting the threshold values of potential and kurtosis makes the amount of data transmitted decrease and significance level of waveform to be enhanced. The unusual waveform detection algorithm is implemented with ubiquitous environment inter-working device client. It is applicable to ubiquitous healthcare system capable of real-time monitoring the ECG signal. While ensuring the mobility, it allows for real-time continuous monitoring of ECG signals.