School of Engineering, Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
IEEE Trans Biomed Eng. 2011 Sep;58(9):2456-66. doi: 10.1109/TBME.2011.2156795. Epub 2011 May 19.
Wireless body sensor networks (WBSN) hold the promise to be a key enabling information and communications technology for next-generation patient-centric telecardiology or mobile cardiology solutions. Through enabling continuous remote cardiac monitoring, they have the potential to achieve improved personalization and quality of care, increased ability of prevention and early diagnosis, and enhanced patient autonomy, mobility, and safety. However, state-of-the-art WBSN-enabled ECG monitors still fall short of the required functionality, miniaturization, and energy efficiency. Among others, energy efficiency can be improved through embedded ECG compression, in order to reduce airtime over energy-hungry wireless links. In this paper, we quantify the potential of the emerging compressed sensing (CS) signal acquisition/compression paradigm for low-complexity energy-efficient ECG compression on the state-of-the-art Shimmer WBSN mote. Interestingly, our results show that CS represents a competitive alternative to state-of-the-art digital wavelet transform (DWT)-based ECG compression solutions in the context of WBSN-based ECG monitoring systems. More specifically, while expectedly exhibiting inferior compression performance than its DWT-based counterpart for a given reconstructed signal quality, its substantially lower complexity and CPU execution time enables it to ultimately outperform DWT-based ECG compression in terms of overall energy efficiency. CS-based ECG compression is accordingly shown to achieve a 37.1% extension in node lifetime relative to its DWT-based counterpart for "good" reconstruction quality.
无线体域网 (WBSN) 有望成为下一代以患者为中心的远程心脏病学或移动心脏病学解决方案的关键使能信息和通信技术。通过实现连续的远程心脏监测，它们有可能实现更好的个性化和护理质量、提高预防和早期诊断的能力，并增强患者的自主性、流动性和安全性。然而，最先进的基于 WBSN 的 ECG 监测器仍然缺乏所需的功能、小型化和能效。其中，通过嵌入式 ECG 压缩可以提高能效，以减少在能耗高的无线链路上的传输时间。在本文中，我们量化了新兴的压缩感知 (CS) 信号采集/压缩范式在最先进的 Shimmer WBSN mote 上进行低复杂度节能 ECG 压缩的潜力。有趣的是，我们的结果表明，在基于 WBSN 的 ECG 监测系统中，CS 代表了一种有竞争力的替代最先进的基于数字小波变换 (DWT) 的 ECG 压缩解决方案的方法。更具体地说，虽然在给定的重建信号质量下，CS 的压缩性能预期不如其基于 DWT 的对应物，但它的复杂度和 CPU 执行时间要低得多，这使其最终在整体能效方面优于基于 DWT 的 ECG 压缩。因此，基于 CS 的 ECG 压缩相对于其基于 DWT 的对应物可将节点寿命延长 37.1%，以实现“良好”的重建质量。
