A Dynamic Compression Scheme for Energy-Efficient Real-Time Wireless Electrocardiogram Biosensors

作者：Luo Kan^*; Li Jianqing; Wu Jianfeng

来源：IEEE Transactions on Instrumentation and Measurement, 2014, 63(9): 2160-2169.

DOI：10.1109/TIM.2014.2308063

• Ambulatory ECG monitoring
• compression
• energy-efficiency
• integrate-and-fire (IF)
• wireless body sensor networks (WBSNs)
• wireless ECG biosensor

Wireless body sensor networks enabled electrocardiogram (ECG) biosensors are a novel solution for patient-centric telecardiology. With this solution, the prevention and early diagnosis of cardiovascular diseases can be effectively improved. However, the energy efficiency of the present wireless ECG biosensors still needs to be improved. In this paper, a dynamic compression scheme is proposed to deal with the challenge of ultralow power and real-time wireless ECG application. This compression scheme consists of a digital integrate-and-fire sampler and a lossless entropy encoder, which can reduce airtime over energy-hungry wireless links and improve the energy efficiency of the biosensors. The efficiency improvement is evidenced by the experiments using the MIT-BIH arrhythmia database in MICAz node. The lifetime of dc-implemented MICAz node can be extended up to 76.60% with high signal recovery quality. This scheme is also compared with the digital wavelet transform-based and compressed sensing-based compression schemes. All experimental results indicate that the proposed scheme has high-energy efficiency, low computational complexity, less resource consumption, and rapid time response.

• 出版日期2014-9
• 单位东南大学