Adaptive Sampling for ECG Detection Based on Compression Dictionary

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.

[1]  Zhou Yan-li,et al.  Improved LZW algorithm of lossless data compression for WSN , 2010, 2010 3rd International Conference on Computer Science and Information Technology.

[2]  Antonio Albiol,et al.  A new adaptive scheme for ECG enhancement , 1999, Signal Process..

[3]  Fenxiong Chen,et al.  Algorithm of Data Compression Based on Multiple Principal Component Analysis over the WSN , 2010, 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM).

[4]  Huan Zhang,et al.  Design and realization of improved LZW algorithm for wireless sensor networks , 2011, International Conference on Information Science and Technology.

[5]  Hsiao-Lung Chan,et al.  VLSI Implementation of Wavelet-based Electrocardiogram Compression and Decompression , 2011 .

[6]  Katarzyna Wac,et al.  MobiHealth: Ambulant Patient Monitoring Over Public Wireless Networks , 2004 .

[7]  Muriel Medard,et al.  Energy-efficient Time-Stampless Adaptive Nonuniform Sampling , 2011, 2011 IEEE SENSORS Proceedings.

[8]  P. Augustyniak.  ECG SAMPLING RATE CONTROLLED BY SIGNAL CONTENTS , 2002 .

[9]  Waldemar Rebizant,et al.  Digital Signal Processing in Power System Protection and Control , 2011 .

[10]  Refet Firat Yazicioglu,et al.  A mixed signal ECG processing platform with an adaptive sampling ADC for portable monitoring applications , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[11]  Giuseppe Anastasi,et al.  Energy management in wireless sensor networks with energy-hungry sensors , 2009, IEEE Instrumentation & Measurement Magazine.

[12]  Artin Der Minassians,et al.  Wireless Sensor Networks for Home Health Care , 2007, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07).

[13]  Jinup Lim,et al.  A 9-bit ADC with a Wide-Range Sample-and-Hold Amplifier , 2004 .