• Title/Summary/Keyword: Waveform Encoding

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Adoption of MFER and HL7 Standard for Shared Electronic Medical Record (공유 전자의무기록을 위한 MFER과 HL7 표준 적용)

  • Kim, Hwa-Sun;Park, Chun-Bok;Hong, Hae-Sook;Cho, Hune
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.3
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    • pp.501-506
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    • 2008
  • Medical environments incorporate complex and integrated data networks to transfer vast amounts of patient information, such as images, waveforms, and other digital data. To assure interoperability of images, waveforms and patient data, health level seven(HL7) was developed as an international standard to facilitate the communication and storage of medical data. We also adopted medical waveform description format encoding rule(MFER) standard for encoding waveform biosignal such as ECG, EEG and so on. And, the study converted a broad domain of clinical data on patients, including MFER, into a HL7 message, and saved them in a clinical database in hospital. According to results obtained in the test environment, it was possible to acquire the same HL7 message and biosignal data as ones acquired during transmission. Through this study, we might conclude that the proposed system can be a promising model for electronic medical record system in u-healthcare environment.

Waveform Biosignal Interface based on International Standard MEER (MFER 표준을 적용한 생체신호정보 공유시스템 개발)

  • Cho, Hune;Kim, Seon-Chil
    • Journal of Biomedical Engineering Research
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    • v.29 no.2
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    • pp.164-171
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    • 2008
  • Recently, many of hospitals have hurried to computerize the resulting data from medical devices, in order to introduce Electric Medical Record(EMR). In terms of the linkage between medical devices and hospital information systems, however, many difficulties have arisen due to some reasons such as the variety of prescription input, the format difference of the resulting data sheet, and the interface difference between medical devices from different companies. To solve these problems, many researches on standardization of the resulting data of medical devices have been performed. In this study, the linkage between hospital information systems and resulting datum in Electrocardiogram(ECG) generating biosignal waveform was tested by applying Medical waveform Format Encoding Rules(MFER) Version 1.02, which has more advantages than existing global standard. MFER viewer, in addition, was made to display the resulting data on a screen. The MFER viewer was tested and compared to the existing Scalable Vector Graphics (SVG) Viewer. The results showed that this method is more effective in the interface the data storage and application, because of simplicity and easiness in data applications. And the results show that the MFER is convenience and effective for physician. It is considered that the role of MFER as the interface in biosignal waveform including Electrocardiogram medical devices would expand in the near future.

SAR Payload Technology for Next Generation Satellite (차세대 위성용 SAR 탑재체 기술)

  • Won, Young-Jin;Yoon, Jae-Cheol;Kim, Jin-Hee
    • Aerospace Engineering and Technology
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    • v.13 no.2
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    • pp.131-141
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    • 2014
  • Synthetic Aperture Radar (SAR) is a powerful and well established microwave remote sensing technique which enables high resolution measurements of the Earth surface independent of weather conditions and sunlight illumination. In this study, this paper first summarizes the basic SAR theory and the history of the SAR satellites. The second part of this paper gives an overview of new technologies for future SAR systems. New innovative concepts and technologies for SAR satellites will be digital beamforming, High Resolution Wide Swath (HRWS), Waveform Encoding, Terrain Observation by Progressive Scan (TOPS), and so on. These technologies will play an important role for future spaceborne SAR satellites.

ECG Data Coding Using Piecewise Fractal Interpolation

  • Jun, Young-Il;Jung, Hyun-Meen;Yoon, Young-Ro;Yoon, Hyung-Ro
    • Proceedings of the KOSOMBE Conference
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    • v.1994 no.12
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    • pp.134-137
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    • 1994
  • In this paper, we describe an approach to ECG data coding based on a fractal theory of iterated contractive transformations defined piecewise. The main characteristic of this approach is that it relies on the assumption that signal redundancy can be efficiently captured and exploited through piecewise self-transformability on a block-wise basis. The variable range size technique is employed to reduce the reconstruction error. Large ranges are used for encoding the smooth waveform to yield high compression efficiency, and the smaller ranges are used for encoding rapidly varying parts of the signal to preserve the signal quality. The suggested algorithm was evaluated using MIT/BIH arrhythmia database. A high compression ratio is achieved with a relatively low reconstruction error.

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Wavelet-based Pitch Detector for 2.4 kbps Harmonic-CELP Coder (2.4 kbps 하모닉-CELP 코더를 위한 웨이블렛 피치 검출기)

  • 방상운;이인성;권오주
    • The Journal of the Acoustical Society of Korea
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    • v.22 no.8
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    • pp.717-726
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    • 2003
  • This paper presents the methods that design the Wavelet-based pitch detector for 2,4 kbps Harmonic-CELP Coder, and that achieve the effective waveform interpolation by decision window shape of the transition region, Waveform interpolation coder operates by encoding one pitch-period-sized segment, a prototype segment, of speech for each frame, generate the smooth waveform interpolation between the prototype segments for voiced frame, But, harmonic synthesis of the prototype waveforms between previous frame and current frame occur not only waveform errors but also discontinuity at frame boundary on that case of pitch halving or doubling, In addtion, in transition region since waveform interpolation coder synthesizes the excitation waveform by using overlap-add with triangularity window, therefore, Harmonic-CELP fail to model the instantaneous increasing speech and synthesis waveform linearly increases, First of all, in order to detect the precise pitch period, we use the hybrid 1st pitch detector, and increse the precision by using 2nd ACF-pitch detector, Next, in order to modify excitation window, we detect the onset, offset of frame by GCI, As the result, pitch doubling is removed and pitch error rate is decreased 5.4% in comparison with ACF, and is decreased 2,66% in comparison with wavelet detector, MOS test improve 0.13 at transition region.

A MFER Generator Module for Bio-Radar Signals (원격 바이오 레이더 신호를 위한 MFER 모듈 개발)

  • Son, Jae Gi;Park, Chang Won
    • Annual Conference of KIPS
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    • 2009.04a
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    • pp.932-933
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    • 2009
  • 최근 의료기기의 디지털화와 더불어 IT 기술의 융복합화에 따라 다양한 의료기기들이 등장하고 있다. 특히 의료분야에서 발생하는 파형을 디지털화 시킴으로써 컴퓨터 등과 같은 기기를 통하여 정확한 분석이 가능하며 장기적으로 보관이 가능하다. 또한 디지털 파형의 포맷 규격을 정형화 함으로써 HL7 이나 DICOM 과 같이 상호 호환성, 정보교환이 가능하다. 특히 ECG, EEG 등과 같은 파형들은 개개인의 건강정보를 분석하기 위해 필수적인 요소이다. 본 논문에서는 ISO/TS 11073-92001 규격으로 제정된 MFER (Medical waveform description Format Encoding Rules)를 기반으로 바이오 레이더 신호를 저장할 수 있는 모듈에 관하여 기술한다.

ECG Data Compression Using Adaptive Fractal Interpolation (적응 프랙탈 보간을 이용한 심전도 데이터 압축)

  • 전영일;윤영로
    • Journal of Biomedical Engineering Research
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    • v.17 no.1
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    • pp.121-128
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    • 1996
  • This paper presents the ECG data compression method referred the adaptive fractal interpolation algorithm. In the previous piecewise fractal interpolation(PFI) algorithm, the size of range is fixed So, the reconstruction error of the PFI algorithm is nonuniformly distributed in the part of the original ECG signal. In order to improve this problem, the adaptive fractal interpolation(AEI) algorithm uses the variable range. If the predetermined tolerance was not satisfied, the range would be subdivided into two equal size blocks. large ranges are used for encoding the smooth waveform to yield high compression efficiency, and the smaller ranges are U for encoding rapidly varying parts of the signal to preserve the signal quality. The suggested algorithm was evaluated using MIT/BIH arrhythmia database. The AEI algorithm was found to yield a relatively low reconstruction error for a given compression ratio than the PFI algorithm. In applications where a PRD of about 7.13% was acceptable, the ASI algorithm yielded compression ratio as high as 10.51, without any entropy coding of the parameters of the fractal code.

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Joint Electromagnetic Inversion with Structure Constraints Using Full-waveform Inversion Result (완전파형역산결과를 구조적 제약 조건으로 이용한 고해상도 전자탐사 복합역산 알고리듬 개발)

  • Jeong, Soocheol;Seol, Soon Jee;Byun, Joongmoo
    • Geophysics and Geophysical Exploration
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    • v.17 no.4
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    • pp.187-201
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    • 2014
  • Compared with the separated inversion of electromagnetic (EM) and seismic data, a joint inversion using both EM and seismic data reduces the uncertainty and gives the opportunity to use the advantage of each data. Seismic fullwaveform inversion allows velocity information with high resolution in complicated subsurface. However, it is an indirect survey which finds the structure containing oil and gas. On the other hand, marine controlled-source EM (mCSEM) inversion can directly indicate the oil and gas using different EM properties of hydrocarbon with marine sediments and cap rocks whereas it has poor resolution than seismic method. In this paper, we have developed a joint EM inversion algorithm using a cross-gradient technique. P-wave velocity structure obtained by full-waveform inversion using plane wave encoding is used as structure constraints to calculate the cross-gradient term in the joint inversion. When the jointinversion algorithm is applied to the synthetic data which are simulated for subsea reservoir exploration, images have been significantly improved over those obtained from separate EM inversion. The results indicate that the developed joint inversion scheme can be applied for detecting reservoir and calculating the accurate oil and gas reserves.

Design of Standard Encoder for Health information in aviation emergency medical service (항공응급의료체계에서의 의료신호 표준 부호화기 설계)

  • Lee, Yong-Hee;Kim, Soon-Seok;Kim, Dong-Ho;Lee, Deok-Gyu;Jeong, Ho-Young
    • Journal of Advanced Navigation Technology
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    • v.15 no.6
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    • pp.1173-1179
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    • 2011
  • In this paper, we propose the parser structure to realize the encoder which is standardized encoding rules to code and store the medical waveform such as an electrocardiogram or an blood pressure in aviation emergency medical service. To design the encoder based on the MDER, the effect on the scope of each tag should be considered. we design the parser with the root property which is to clarify the effect of scope between tags. the presented parser is implemented and compared with the other structures.

Development for body temperature sensor and monitoring telemetry system (체온측정용 온도 센서 및 모니터링 텔레메트리 시스템 구현)

  • Lee, Jyung-Hyun;Seong, Ki-Woong;Kim, Myoung-Nam;Cho, Jin-Ho
    • Journal of Sensor Science and Technology
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    • v.19 no.6
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    • pp.435-442
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    • 2010
  • Typically, the vital signs that are representing the state of human body, are the body temperature, sphygmus, respiration and blood pressure. The body temperature is the result of metabolic regulation and human steady-state body temperature is maintained from 35.9 to $37.4^{\circ}C$ by heat regulatory center. The body temperature is indicative of infection and especially it should be monitored to requiring intensive care patients or after surgical patients. But, measuring of body temperature to a heavy workload on nursing staff has been recognized. And, the health service of nurse is limited by simple tasks such as the measurement and record of vital sign. In this paper, the body temperature monitoring telemetry system was proposed to prove the recoding and transmission of body temperature patch system according the standard(ISO TS11073-92001). We proposed the transmission protocol to suit the MFER(medical waveform format encoding rules). The telemetry patch system was implemented and it was verified by experiments.