• 제목/요약/키워드: Electrocardiogram compression

검색결과 18건 처리시간 0.027초

정렬과 평균 정규화를 이용한 2D ECG 신호 압축 방법 (2D ECG Compression Method Using Sorting and Mean Normalization)

  • 이규봉;주영복;한찬호;허경무;박길흠
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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    • pp.193-195
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    • 2009
  • In this paper, we propose an effective compression method for electrocardiogram(ECG) signals. 1-D ECG signals are reconstructed to 2-D ECG data by period and complexity sorting schemes with image compression techniques to Increase inter and intra-beat correlation. The proposed method added block division and mean-period normalization techniques on top of conventional 2-D data ECG compression methods. JPEG 2000 is chosen for compression of 2-D ECG data. Standard MIT-BIH arrhythmia database is used for evaluation and experiment. The results show that the proposed method outperforms compared to the most recent literature especially in case of high compression rate.

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템플릿 매칭 기반의 심전도 압축 전송 (ECG Compression and Transmission based on Template Matching)

  • 이상진;김상곤;김태곤
    • 인터넷정보학회논문지
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    • 제23권1호
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    • pp.31-38
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    • 2022
  • 심전도(electrocardiogram)는 심장의 주기적인 활동을 전기적인 신호로 기록한 것으로 심근의 리듬을 측정하고 판단하여 개인건강을 진단할 수 있는 중요한 신체정보이다. 특성상 대용량의 정보를 발생하는데 특정 질병의 진단을 목표로 하는 경우 상당한 기간의 누적 신호를 필요로 한다. 따라서 의학적인 손실 없이 정보용량을 대폭 줄이기 위한 압축 및 저장 처리에 관한 연구가 활발하게 진행되어 왔다. 최근 일상생활에서 착용할 수 있고 신호를 실시간 전송할 수 있는 스마트한 측정기기의 개발로 심전도는 그 활용도가 더욱 높아지고 있다. 측정기기는 일반적으로 사용자의 편리성을 위해 성능과 전력소모가 제한적인데, 이런 환경에서 대용량의 신호를 수 초안에 처리하고 전송할 수 있는 기법의 개발이 요구되고 있다. 본 논문에서는 심전도의 단위 파형의 누적 평균(template)을 활용하여 효율적으로 신호를 압축 전송하는 기법을 제안한다. 압축은 템플릿 매칭을 활용하며 무손실(lossless)이 가능하다. 제안하는 기법은 기존의 대표적인 압축방식과 비교해서 고압축 환경에서 우수한 성능을 보여주며, 복잡도는 상대적으로 높지 않은 것으로 분석된다. 그리고 template 매칭 차이 값에 대한 기존의 압축 기술의 적용도 가능하다.

생체신호에 기반한 웨어러블 로봇 내 부분 압박 바지 착용 시 효과 검증 (Verification of Effectiveness of Wearing Compression Pants in Wearable Robot Based on Bio-signals)

  • 박소영;이예진
    • 한국의류학회지
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    • 제45권2호
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    • pp.305-316
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    • 2021
  • In this study, the effect of wearing functional compression pants is verified using a lower-limb wearable robot through a bio-signal analysis and subjective fit evaluation. First, the compression area to be applied to the functional compression pants is derived using the quad method for nine men in their 20s. Subsequently, functional compression pants are prepared, and changes in Electroencephalogram (EEG) and Electrocardiogram (ECG) signals when wearing the functional compression and normal regular pants inside a wearable robot are measured. The EEG and ECG signals are measured with eyes closed and open. Results indicate that the Relative alpha (RA) and Relative gamma wave (RG) of the EEG signal differ significantly, resulting in increased stability and reduced anxiety and stress when wearing the functional compression pants. Furthermore, the ECG analysis results indicate statistically significant differences in the Low frequency (LF)/High frequency (HF) index, which reflect the overall balance of the autonomic nervous system and can be interpreted as feeling comfortable and balanced when wearing the functional compression pants. Moreover, subjective sense is discovered to be effective in assessing wear fit, ease of movement, skin friction, and wear comfort when wearing the functional compression pants.

Electrocardiogram Signal Compression with Reconstruction via Radial Basis Function Interpolation Based on the Vertex

  • Ryu, Chunha;Kim, Tae-Hun;Kim, Jungjoon;Choi, Byung-Jae;Park, Kil-Houm
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제13권1호
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    • pp.31-38
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    • 2013
  • Patients with heart disease need long-term monitoring of the electrocardiogram (ECG) signal using a portable electrocardiograph. This trend requires the miniaturization of data storage and faster transmission to medical doctors for diagnosis. The ECG signal needs to be utilized for efficient storage, processing and transmission, and its data must contain the important components for diagnosis, such as the P wave, QRS-complex, and T wave. In this study, we select the vertex which has a larger curvature value than the threshold value for compression. Then, we reconstruct the compressed signal using by radial basis function interpolation. This technique guarantees a lower percentage of root mean square difference with respect to the extracted sample points and preserves all the important features of the ECG signal. Its effectiveness has been demonstrated in the experiment using the Massachusetts Institute of Technology and Boston's Beth Israel Hospital arrhythmia database.

MPE-LPC를 이용한 심전도 신호의 압축 (Compression of Electrocardiogram Using MPE-LPC)

  • 이태진;김원기;차일환;윤대희
    • 전자공학회논문지B
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    • 제28B권11호
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    • pp.866-875
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    • 1991
  • In this paper, multi pulse excited-linear predictive coding (MPE-LPC), where the correlation eliminated residual signal is modeled by a few pules, is shown to be effective for the compression of electrocardiogram (ECG) data, and a more efficient scheme for a faithful reconstruction of ECG is proposed. The reconstruction charateristic of QRS's and P.T waves is improved using the adaptive pulse allocation (APA), and the compression ratio (CR) can be changed by controlling the mumber of modeling pulses. The performance of the proposed method was evaluated using 10 normal and 10 abnormal ECG data. The proposed method had a better performance than the variable threshold amplitude zone time epoch coding (AZTEC) algorithm and the scan-along polygonal approximation (SAPA) algorithm with the same CR. With the CR in kthe range of 8:1 to 14:1, we could compress ECG data efficiently.

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Optimal Selection of Wavelet Coefficients for Electrocardiograph Compression

  • Del Mar Elena, Maria;Quero, Jose Manuel;Borrego, Inmaculada
    • ETRI Journal
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    • 제29권4호
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    • pp.530-532
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    • 2007
  • This paper presents a simple method to implement a complete on-line portable wireless holter including an electrocardiogram (ECG) monitoring, processing, and communication protocol. The proposed algorithm significantly reduces the hardware resources of threshold estimation for ECG compression, using the standard deviation updated with each new input signal sample. The new method achieves superior performance in terms of hardware complexity, channel occupation and memory requirements, while keeping the ECG quality at a clinically acceptable level.

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정렬과 평균 정규화를 이용한 2D ECG 신호 압축 방법 (2D ECG Compression Using Optimal Sorting Scheme)

  • 이규봉;주영복;한찬호;허경무;박길흠
    • 전자공학회논문지SC
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    • 제46권4호
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    • pp.23-27
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    • 2009
  • 이 논문에서는 효율적인 2D 방식의 심전도 신호 압축 방법을 제안한다. ID 심전도 신호는 2D 신호로 변환된 후 주기와 복잡도를 바탕으로 정렬되고 상호간의 상관 관계를 적용한다. 그 다음 불연속이 발생하는 지점을 기준으로 각 구간을 분할하고 주기의 평균으로 정규화 한 후 보통의 영상 신호를 압축하는 방식과 유사한 방식으로 정렬된 2D 신호를 압축한다. 압축 방식으로는 JPEG 2000이 사용되었으며 실험 데이터는 심전도 압축에서 표준화되어 사용되는 MIT-BIH arrhythmia database를 사용하였다. 제안된 방법은 기존의 2D 심전도 압축 방식과 비교하여 보다 개선된 성능을 보여 준다.

Curvature Based ECG Signal Compression for Effective Communication on WPAN

  • Kim, Tae-Hun;Kim, Se-Yun;Kim, Jeong-Hong;Yun, Byoung-Ju;Park, Kil-Houm
    • Journal of Communications and Networks
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    • 제14권1호
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    • pp.21-26
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    • 2012
  • As electrocardiogram (ECG) signals are generally sampled with a frequency of over 200 Hz, a method to compress diagnostic information without losing data is required to store and transmit them efficiently on a wireless personal area network (WPAN). In this paper, an ECG signal compression method for communications onWPAN, which uses feature points based on curvature, is proposed. The feature points of P, Q, R, S, and T waves, which are critical components of the ECG signal, have large curvature values compared to other vertexes. Thus, these vertexes were extracted with the proposed method, which uses local extrema of curvatures. Furthermore, in order to minimize reconstruction errors of the ECG signal, extra vertexes were added according to the iterative vertex selectionmethod. Through the experimental results on the ECG signals from Massachusetts Institute of Technology-Beth Israel hospital arrhythmia database, it was concluded that the vertexes selected by the proposed method preserved all feature points of the ECG signals. In addition, it was more efficient than the amplitude zone time epoch coding method.

PQRST파 특징 기반 신호의 분류를 이용한 심전도 압축 알고리즘 성능 평가 (Performance Evaluation of ECG Compression Algorithms using Classification of Signals based PQSRT Wave Features)

  • 구정주;최광석
    • 한국통신학회논문지
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    • 제37권4C호
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    • pp.313-320
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    • 2012
  • 심전도의 압축은 시스템의 처리 속도를 높일 뿐만 아니라 신호의 전송량, 장기적인 기록 데이터 저장량을 줄일 수 있다. 본 논문에서는 기존의 심전도 데이터의 손실 혹은 무 손실 압축 알고리즘에 대한 성능 평가가 엔지니어의 관점에서 PRD(Percent RMS Difference)와 CR(Compression Ratio)을 측정하였다면 심전도를 진단하는 진단자의 관점에서 압축의 성능 평가에 대한 연구를 하였다. 일반적으로 심전도 데이터의 압축이 진단에 영향을 미치지 않게 하기위해서는 압축 후 복원된 PQRST파의 위치, 길이, 진폭, 파의 형태 등 진단에 필요한 것들이 손상되어선 안 된다. 대표적인 심전도 압축 알고리즘 AZTEC은 기존의 성능평가에 그 효율성이 검증되었지만 진단자의 관점에서 새로운 성능평가를 제시한다.

Adaptive Sampling for ECG Detection Based on Compression Dictionary

  • Yuan, Zhongyun;Kim, Jong Hak;Cho, Jun Dong
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제13권6호
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    • pp.608-616
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    • 2013
  • This paper presents an adaptive sampling method for electrocardiogram (ECG) signal detection. First, by employing the strings matching process with compression dictionary, we recognize each segment of ECG with different characteristics. Then, based on the non-uniform sampling strategy, the sampling rate is determined adaptively. As the results of simulation indicated, our approach reconstructed the ECG signal at an optimized sampling rate with the guarantee of ECG integrity. Compared with the existing adaptive sampling technique, our approach acquires an ECG signal at a 30% lower sampling rate. Finally, the experiment exhibits its superiority in terms of energy efficiency and memory capacity performance.