Title :
Rate-switching unequal error protection for wireless electrocardiogram (ECG) transmission
Author :
Ma, Tao ; Hempel, Michael ; Peng, Dongming ; Sharif, Hamid
fDate :
Oct. 31 2010-Nov. 3 2010
Abstract :
Energy efficiency for mobile wireless electrocardiography (ECG) communication is an important issue due to resource constraints in wireless Body Area Sensor Networks (BASNs). Traditional high quality ECG transmission schemes require substantial amounts of energy usage, which may not be available in BASN. Therefore, an adaptive approach is necessary to provide high quality ECG transmission with efficient usage of available energy resources. Related literature mainly focuses on data compression, where transmission energy is saved because the amount of data being transmitted is reduced. However, further reduction of energy consumption based on communication strategy is rarely discussed in literature. In this paper, we analyze the characteristics of compressed ECG data, which show that different parts of the data are unequally important to quality of ECG transmission in BASN. In this work, we propose a new Rate-switching Un-Equal Protection (RUEP) mechanism, which optimizes the distortion reduction of ECG data by adaptively assigning different Rate Compatible Punctured Convolutional (RCPC) codes to protect the different parts of the compressed ECG data. Simulation results demonstrate that our RUEP scheme results in an improved communication energy efficiency by at least 45 percent compared with traditional schemes in the AWGN channel.
Keywords :
AWGN channels; biomedical communication; body area networks; convolutional codes; electrocardiography; wireless sensor networks; AWGN channel; BASN; ECG transmission; data compression; energy consumption reduction; energy efficiency; energy resources; mobile wireless electrocardiography; rate compatible punctured convolutional codes; rate-switching unequal error protection; wireless body area sensor networks; wireless electrocardiogram transmission; Electrocardiography; Encoding; Energy consumption; Partitioning algorithms; Wavelet transforms; Wireless communication; Wireless sensor networks; Energy efficiency; body area sensor network; electrocardiography; rate-compatible puncture convolutional code; rate-switching un-equal protection;
Conference_Titel :
MILITARY COMMUNICATIONS CONFERENCE, 2010 - MILCOM 2010
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-8178-1
DOI :
10.1109/MILCOM.2010.5680106