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Straightforward and robust qrs detection algorithm for wearable cardiac monitor

HEALTHCARE TECHNOLOGY LETTERS 2014年第1期1卷 40-44页

作者： Manikandan, M. Sabarimalai Ramkumar, Barathram Indian Inst Technol Bhubaneswar Sch Elect Sci Bhubaneswar 751013 Odisha India

This Letter presents a fairly straightforward and robust qrs detector for wearable cardiac monitoring applications. The first stage of the qrs detector contains a powerful l(1)-sparsity filter with overcomplete hybrid dictionaries for emphasising the qrs complexes and suppressing the baseline drifts, powerline interference and large P/T waves. The second stage is a simple peak-finding logic based on the Gaussian derivative filter for automatically finding locations of R-peaks in the ECG signal. Experiments on the standard MIT-BIH arrythmia database show that the method achieves an average sensitivity of 99.91% and positive predictivity of 99.92%. Unlike existing methods, the proposed method improves detection performance under small-qrs, wide-qrs complexes and noisy conditions without using the searchback algorithms.

关键词： ECG signal Gaussian derivative filter Gaussian processes qrs detection algorithm R-peaks baseline drifts electrocardiography filtering theory medical signal detection medical signal processing noisy conditions patient monitoring powerline interference standard MIT-BIH arrythmia database wearable cardiac monitoring wide-qrs complexes ℓ1-sparsity filter

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A PD Control-based qrs detection algorithm for Wearable ECG Applications

A PD Control-based QRS Detection Algorithm for Wearable ECG ...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Changmok Choi Younho Kim Kunsoo Shin Future IT Research Center Samsung Advanced Institute of Technology (SAIT) Samsung Electronics Co. Ltd. Yongin the Republic of Korea

ISBN: (纸本)9781424441198

We present a qrs detection algorithm for wearable ECG applications using a proportional±derivative(PD) control. ECG data of arrhythmia have irregular intervals and magnitudes of qrs waves that impede correct qrs detection. To resolve the problem, PD control is applied to avoid missing a small qrs wave followed from a large qrs wave and to avoid falsely detecting noise as qrs waves when an interval between two adjacent qrs waves is large (e.g. bradycardia, pause, and arioventricular block). ECG data was obtained from 78 patients with various cardiovascular diseases and tested for the performance evaluation of the proposed algorithm. The overall sensitivity and positive predictive value were 99.28% and 99.26%, respectively. The proposed algorithm has low computational complexity, so that it can be suitable to apply mobile ECG monitoring system in real time.

关键词： A PD Control-based qrs detection algorithm Wearable ECG Applications

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Improvement of signal to noise ratio (SNR) in ECG signals based on dual-band continuous wavelet transform

Improvement of signal to noise ratio (SNR) in ECG signals ba...

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Annual Summit and Conference of Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA)

作者： Phukpattaranont, Pornchai Prince Songkla Univ Dept Elect Engn Hat Yai Thailand

ISBN: (纸本)9786163618238

For ECG signal analysis, a qrs detection algorithm is very important. The qrs detection algorithm consists of two steps, i.e., ECG preprocessing and ECG beat detection. In preprocessing step, noises in ECG signals are removed. The higher signal to noise ratio (SNR) after noise removal in preprocessing step leads to the less complicated algorithm in beat detection step and the increase in accuracy. However, ECG signals have various types in the real situation such as normal beat and premature ventricular contraction (PVC) beat. Each type of beat has its own frequency response. Therefore, we propose the dual band continuous wavelet transform to maximize the SNR of ECG signals after noise removal in this paper. The proposed algorithm was evaluated with the ECG signals from MIT-BIH arrhythmia database. Results demonstrate the feasibility of the method.

关键词： diseases electrocardiography medical signal detection wavelet transforms ECG beat detection ECG preprocessing ECG signal analysis MIT-BIH arrhythmia database PVC beat qrs detection algorithm dual-band continuous wavelet transform frequency response noise removal normal beat premature ventricular contraction beat signal to noise ratio Continuous wavelet transforms detection algorithms Electrocardiography Heart rate variability Signal to noise ratio signal to noise ratios Electrocardiography detection algorithms Noise cancellation Continuous wavelet transforms electrochemical grinding medical signal detection frequency response Signal analysis wavelet transforms Beat heart rate variability Supernova remnants

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A real-time qrs detector based on higher-order statistics for ECG gated cardiac MRI 41

A real-time QRS detector based on higher-order statistics fo...

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41st Computing in Cardiology Conference (CinC)

作者： Schmidt, Marcus Krug, Johannes W. Gierstorfer, Andreas Rose, Georg Otto von Guericke Univ Dept Med Engn Magdeburg Germany MIPM Mammendorfer Inst Phys & Med GmbH Mammendorf Germany

ISBN: (纸本)9781479943463

Nowadays, Cardiovascular Magnetic Resonance (CMR) is gaining popularity in medical imaging and diagnosis. The acquisition of CMR images needs to be synchronized with the current cardiac phase to compensate the motion of the beating heart. The Electrocardiogram (ECG) signal can be used for such applications by detecting the qrs complex. However, the magnetic fields of the MR scanner contaminate the ECG signal which hampers qrs detection during CMR imaging. This paper presents a new real-time qrs detection algorithm for CMR gating applications based on the higher order statistics of the ECG signal. The algorithm uses the 4th order central moment to detect the R-peak. The algorithm was tested using two different databases. One database consisted of 12-lead ECGs which were acquired from 9 subjects inside a 3 T Magnetic Resonance Imaging (MRI) scanner with a total of 9241 qrs complexes. The 12-lead ECG arrhythmia database from the St. Petersburg Institute of Cardiological Technics (InCarT) served as the second database. 168341 qrs complexes were used from this database. For the ECG database acquired inside the MRI scanner, the proposed algorithm achieved a sensitivity (Se) of 99.99% and positive predictive value (+P) of 99.60%. Using the InCarT database, Se=99.43% and +P=99.91% were achieved. Hence, this algorithm enables a reliable R peak detection in real-time for triggering purposes in CMR imaging.

关键词： biomedical MRI diseases electrocardiography higher order statistics medical signal detection 12-lead ECG arrhythmia database 4th order central moment CMR gating ECG gated cardiac MRI ECG signal MRI scanner qrs detection algorithm R-peak detection cardiovascular magnetic resonance electrocardiogram signal higher-order statistics magnetic resonance imaging positive predictive value Abstracts Density estimation robust algorithm Electrocardiography Lead Magnetic resonance imaging Materials

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A Resource-Efficient, Robust qrs Detector Using Data Compression and Time-sharing Architecture 53

A Resource-Efficient, Robust QRS Detector Using Data Compres...

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IEEE International Symposium on Circuits and Systems (IEEE ISCAS)

作者： Yan, Weihong Ji, Yuxin Hu, Lining Zhou, Ting Zhao, Yang Liu, Yan Li, Yongfu Shanghai Jiao Tong Univ Dept Micronano Elect Shanghai Peoples R China Shanghai Jiao Tong Univ MoE Key Lab Artificial Intelligence Shanghai Peoples R China Wuxi Jintong Technol Co Ltd Wuxi Jiangsu Peoples R China

ISBN: (纸本)9781728192017

In this paper, we proposed a resource-efficient `qrs' detector with superior detection accuracy. Inspired by the strategy of the folded architecture, we adopted a reconfigurable time-sharing computation unit with a pipeline schedule. To further precisely locate the position of the 'R' peak and minimize the extra hardware cost, we designed the position calibration unit (PCU) based on the data compression technique. The proposed architecture was implemented on Xilinx Zynq-7000 with Verilog programming language. The proposed architecture achieves a sensitivity, Se of 99.76%, a precision, +P of 99.85%, and a detection error rate, DER of 0.40% on MIT-BIH database, which attains the best performance compared to state-of-the-art designs. Furthermore, the proposed architecture achieves a better hardware efficiency with 13 x, 1.28 x, and 4.35 x reductions in computing resources, storage memory, and power consumption, respectively.

关键词： Electrocardiography qrs detection algorithm field programmable gate arrays wearable ECG sensors

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Time-Domain ECG Signal Analysis Based on Smart-Phone

Time-Domain ECG Signal Analysis Based on Smart-Phone

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33rd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBS)

作者： Zhou, Shijie Zhang, Zichen Gu, Jason Dalhousie Univ Dept Elect & Comp Halifax NS B3J 2X4 Canada

ISBN: (纸本)9781424441228

In this paper, a time domain algorithm architecture is presented and implemented on a smart-phone for ECG signal analysis. Using the qrs detection algorithm suggested by Pan-Tompkins and the beat classification method, the heart beats are detected and classified as normal beats and premature ventricular contractions (PVCs). Subsequently, a computationally efficient method is presented to separate ventricular tachycardia (VT) and ventricular fibrillation (VF). This method utilizes Lempel and Ziv complexity analysis combined with K-means algorithm for the coarse-graining process. In addition, a new classification rule is presented to recognize VT and VF in our study. The proposed system provides fairly good performance when applied to the MIT-BIH Database. This algorithm architecture can be efficiently used on the mobile platform.

关键词： algorithm design and analysis Classification algorithms Complexity theory Computer architecture Databases Electrocardiography K-means algorithm Lempel complexity analysis MIT-BIH database PVC qrs detection algorithm Rhythm VF VT Ziv complexity analysis be

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