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      KCI등재

      웨어러블 디바이스를 위한 실시간 부정맥 검출 및 BLE기반 데이터 통신 알고리즘 개발과 적용 = Development of Real-Time Arrhythmia Detection and BLE-based Data Communication Algorithm for Wearable Devices

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      https://www.riss.kr/link?id=A108394497

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      다국어 초록 (Multilingual Abstract)

      Because arrhythmia occurs irregularly, it should be examined for at least 24 hours for accurate diagnosis. For this reason, this paper developed firmware software for arrhythmia detection and prevented consumption of tem- poral and human resources and...

      Because arrhythmia occurs irregularly, it should be examined for at least 24 hours for accurate diagnosis.
      For this reason, this paper developed firmware software for arrhythmia detection and prevented consumption of tem- poral and human resources and enabled continuous management and early diagnosis. Prior to the experiment, the interval between the R peaks of the QRS Complex was calculated using the Pan-Tompkins algorithm. The developed firmware software designed and implemented an algorithm to detect arrhythmia such as tachycardia, bradycardia, ventricular tachycardia, persistent tachycardia, and non-persistent tachycardia, and a data transmission format to monitor the collected data based on BLE. As a result of the experiment, arrhythmia was found in real time according to the change in BPM as designed in this paper. And the data quality for BLE communication was verified by com- paring the sensor’s serial communication value with the Android application reception value. In the future, wearable devices for real-time arrhythmia detection will be lightweight and developed firmware software will be applied.

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      참고문헌 (Reference) 논문관계도

      1 김경호 ; 이상운 ; 김진영, "심전도신호의 R-R 간격을 이용한 부정맥 구간 검출 알고리즘" 사단법인 한국위성정보통신학회 9 (9): 85-89, 2014

      2 윤장혁 ; 정용주, "실시간 ECG 모니터링 시스템을 위한 QRS 검출 알고리듬의 개발" 한국정보기술학회 8 (8): 153-163, 2010

      3 "https://kostat.go.kr/portal/korea/kor_nw/1/6/2/index.board"

      4 "https://github.com/kai-morich/SimpleBluetoothLeTerminal"

      5 Lee ST, "Ven-tricular Tachycardia Arrhythmia Detection Using R-R Inter-val" 474-475, 2008

      6 Moody GB, "The Impact of The MIT-BIH Arrhyth-mia Database" 45-50, 2001

      7 Poliakov AV, "Server-based Approach to Web Visualization of Integrated Three-dimensional Brain Imaging Data" 12 (12): 140-151, 2005

      8 이경중 ; 송미혜 ; 이전 ; 조성필, "SVM 분류기를 통한 심실세동 검출" 대한전자공학회 42 (42): 261-268, 2005

      9 Burns A, "SHIMMERTM : An Extensible Platform For Physiological Signal Capture" 3759-3762, 2010

      10 Hamilton PS, "Quantitative Investigation of QRS Detection Rules Using the MIT/BIH Arrhythmia Database" 33 (33): 1157-1165, 1986

      1 김경호 ; 이상운 ; 김진영, "심전도신호의 R-R 간격을 이용한 부정맥 구간 검출 알고리즘" 사단법인 한국위성정보통신학회 9 (9): 85-89, 2014

      2 윤장혁 ; 정용주, "실시간 ECG 모니터링 시스템을 위한 QRS 검출 알고리듬의 개발" 한국정보기술학회 8 (8): 153-163, 2010

      3 "https://kostat.go.kr/portal/korea/kor_nw/1/6/2/index.board"

      4 "https://github.com/kai-morich/SimpleBluetoothLeTerminal"

      5 Lee ST, "Ven-tricular Tachycardia Arrhythmia Detection Using R-R Inter-val" 474-475, 2008

      6 Moody GB, "The Impact of The MIT-BIH Arrhyth-mia Database" 45-50, 2001

      7 Poliakov AV, "Server-based Approach to Web Visualization of Integrated Three-dimensional Brain Imaging Data" 12 (12): 140-151, 2005

      8 이경중 ; 송미혜 ; 이전 ; 조성필, "SVM 분류기를 통한 심실세동 검출" 대한전자공학회 42 (42): 261-268, 2005

      9 Burns A, "SHIMMERTM : An Extensible Platform For Physiological Signal Capture" 3759-3762, 2010

      10 Hamilton PS, "Quantitative Investigation of QRS Detection Rules Using the MIT/BIH Arrhythmia Database" 33 (33): 1157-1165, 1986

      11 Ye C, "Heartbeat Classification Using Morphological and Dynamic Features of ECG Signals" 59 (59): 2930-2941, 2012

      12 Behar J, "ECG Signal Quality During Arrhythmia and Its Application to False Alarm Reduction" 60 (60): 1660-1666, 2013

      13 Jalaleddine SM, "ECG Data Compression Techniques–A Unified Approach" 37 (37): 329-343, 1990

      14 Donoho DL, "De-noising By Soft-thresholding" 41 (41): 613-627, 1995

      15 Garza AJ, "A Web-based Sys-tem for Eeg Data Visualization and Analysis" 119-124, 2015

      16 Lourenco A, "A Web-based Platform for Biosignal Visualization and Annotation" 70 (70): 433-460, 2014

      17 Mallat SG, "A Theory For Multiresolution Signal Decompo-sition : The Wavelet Representation" 11 (11): 674-693, 1989

      18 Pan J, "A Real-time QRS Detection Algorithm" 3 : 230-236, 1985

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