A Level-Crossing Based QRS-Detection Algorithm for Wearable ECG Sensors

In this paper, an asynchronous analog-to-information conversion system is introduced for measuring the RR intervals of the electrocardiogram (ECG) signals. The system contains a modified level-crossing analog-to-digital converter and a novel algorithm for detecting the R-peaks from the level-crossing sampled data in a compressed volume of data. Simulated with MIT-BIH Arrhythmia Database, the proposed system delivers an average detection accuracy of 98.3%, a sensitivity of 98.89%, and a positive prediction of 99.4%. Synthesized in 0.13 μm CMOS technology with a 1.2 V supply voltage, the overall system consumes 622 nW with core area of 0.136 mm2 which make it suitable for wearable wireless ECG sensors in body-sensor networks.

[1]  Jeffrey M. Hausdorff,et al.  Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .

[2]  E. Allier,et al.  Asynchronous level crossing analog to digital converters , 2005 .

[3]  Gilles Sicard,et al.  A 120nm low power asynchronous ADC , 2005, ISLPED '05. Proceedings of the 2005 International Symposium on Low Power Electronics and Design, 2005..

[4]  Laurent Fesquet,et al.  Asynchronous FIR filters: towards a new digital processing chain , 2004, 10th International Symposium on Asynchronous Circuits and Systems, 2004. Proceedings..

[5]  Gilles Sicard,et al.  A new class of asynchronous A/D converters based on time quantization , 2003, Ninth International Symposium on Asynchronous Circuits and Systems, 2003. Proceedings..

[6]  Sheng-Chieh Huang,et al.  A ± 6 ms-Accuracy , 0 . 68 mm 2 , and 2 . 21 μ WQRSDetection ASIC , 2015 .

[7]  Sameer R. Sonkusale,et al.  An Adaptive Resolution Asynchronous ADC Architecture for Data Compression in Energy Constrained Sensing Applications , 2011, IEEE Transactions on Circuits and Systems I: Regular Papers.

[8]  Fei Zhang,et al.  QRS Detection Based on Multiscale Mathematical Morphology for Wearable ECG Devices in Body Area Networks , 2009, IEEE Transactions on Biomedical Circuits and Systems.

[9]  Daibashish Gangopadhyay,et al.  Compressed Sensing System Considerations for ECG and EMG Wireless Biosensors , 2012, IEEE Transactions on Biomedical Circuits and Systems.

[10]  Yong Lian,et al.  A new ECG signal processing scheme for low-power wearable ECG devices , 2011, 2011 Asia Pacific Conference on Postgraduate Research in Microelectronics & Electronics.

[11]  Feng Wan,et al.  A 0.83-$\mu {\rm W}$ QRS Detection Processor Using Quadratic Spline Wavelet Transform for Wireless ECG Acquisition in 0.35- $\mu{\rm m}$ CMOS , 2012, IEEE Transactions on Biomedical Circuits and Systems.

[12]  Rui Paulo Martins,et al.  A 0.83-µW QRS Detection Processor Using Quadratic Spline Wavelet Transform for Wireless ECG Acquisition in 0.35-µm CMOS , 2012, IEEE Trans. Biomed. Circuits Syst..

[13]  Xin Liu,et al.  An Ultra-Low Power ECG Acquisition and Monitoring ASIC System for WBAN Applications , 2012, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

[14]  Sameer R. Sonkusale,et al.  Input-Feature Correlated Asynchronous Analog to Information Converter for ECG Monitoring , 2011, IEEE Transactions on Biomedical Circuits and Systems.

[15]  Willis J. Tompkins,et al.  A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.

[16]  M. Sabarimalai Manikandan,et al.  A simple and robust QRS detection algorithm for wireless medical body area network , 2011, 2011 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC).

[17]  R. Orglmeister,et al.  The principles of software QRS detection , 2002, IEEE Engineering in Medicine and Biology Magazine.

[18]  Alyssa B. Apsel,et al.  A level-crossing flash asynchronous analog-to-digital converter , 2006, 12th IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC'06).

[19]  Yannis P. Tsividis,et al.  Signal-Dependent Variable-Resolution Clockless A/D Conversion With Application to Continuous-Time Digital Signal Processing , 2010, IEEE Transactions on Circuits and Systems I: Regular Papers.

[20]  Dong Wang,et al.  A Level-Crossing Analog-to-Digital Converter With Triangular Dither , 2009, IEEE Transactions on Circuits and Systems I: Regular Papers.

[21]  Y. Tsividis,et al.  A Continuous-Time ADC/DSP/DAC System With No Clock and With Activity-Dependent Power Dissipation , 2008, IEEE Journal of Solid-State Circuits.

[22]  Y. Wang,et al.  A computationally efficient QRS detection algorithm for wearable ECG sensors , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[23]  M. Varanini,et al.  Adaptive threshold QRS detector with best channel selection based on a noise rating system , 2007, 2007 Computers in Cardiology.

[24]  Chi-Sang Poon,et al.  Analysis of First-Derivative Based QRS Detection Algorithms , 2008, IEEE Transactions on Biomedical Engineering.

[25]  Jerker Delsing,et al.  Level-Crossing ADC Performance Evaluation Toward Ultrasound Application , 2009, IEEE Transactions on Circuits and Systems I: Regular Papers.

[26]  Kenneth L. Shepard,et al.  A Continuous-Time Programmable Digital FIR Filter , 2005, IEEE Journal of Solid-State Circuits.

[27]  Jon W. Mark,et al.  A Nonuniform Sampling Approach to Data Compression , 1981, IEEE Trans. Commun..

[28]  Henrik V. Sorensen,et al.  A level-crossing sampling scheme for A/D conversion , 1996 .

[29]  Yannis P. Tsividis,et al.  An event-driven, alias-free ADC with signal-dependent resolution , 2012, 2012 Symposium on VLSI Circuits (VLSIC).

[30]  Soo-Won Kim,et al.  Design of Wavelet-Based ECG Detector for Implantable Cardiac Pacemakers , 2013, IEEE Transactions on Biomedical Circuits and Systems.

[31]  G.B. Moody,et al.  The impact of the MIT-BIH Arrhythmia Database , 2001, IEEE Engineering in Medicine and Biology Magazine.

[32]  Hui-Min Wang,et al.  A ±6ms-accuracy, 0.68mm2 and 2.21μW QRS detection ASIC , 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.