Energy-Efficient Intelligent ECG Monitoring for Wearable Devices

IF 3.8 2区医学 Q2 ENGINEERING, BIOMEDICAL

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2019-07-22 DOI:10.1109/TBCAS.2019.2930215

Ni Wang, Jun Zhou, Guanghai Dai, Jiahui Huang, Yuxiang Xie

引用次数: 36

Abstract

Wearable intelligent ECG monitoring devices can perform automatic ECG diagnosis in real time and send out alert signal together with abnormal ECG signal for doctor's further analysis. This provides a means for the patient to identify their heart problem as early as possible and go to doctors for medical treatment. For such system the key requirements include high accuracy and low power consumption. However, the existing wearable intelligent ECG monitoring schemes suffer from high power consumption in both ECG diagnosis and transmission in order to achieve high accuracy. In this work, we have proposed an energy-efficient wearable intelligent ECG monitor scheme with two-stage end-to-end neural network and diagnosis-based adaptive compression. Compared to the state-of-the-art schemes, it significantly reduces the power consumption in ECG diagnosis and transmission while maintaining high accuracy.

查看原文本刊更多论文

面向可穿戴设备的节能智能心电监测

可穿戴智能心电监护设备可以实时自动进行心电诊断，并结合异常心电信号发出报警信号，供医生进一步分析。这为患者尽早发现自己的心脏问题并去医生那里接受治疗提供了一种手段。对于这样的系统，关键的要求是高精度和低功耗。然而，现有的可穿戴智能心电监测方案为了达到较高的准确率，在心电诊断和传输方面都存在着高功耗的问题。在这项工作中，我们提出了一种节能的可穿戴智能心电监护方案，该方案采用两阶段端到端神经网络和基于诊断的自适应压缩。与目前最先进的方案相比，该方案在保持高精度的同时，显著降低了心电诊断和传输的功耗。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE Transactions on Biomedical Circuits and Systems 工程技术-工程：电子与电气

CiteScore

10.00

自引率

13.70%

发文量

174

审稿时长

3 months

期刊介绍： The IEEE Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems Society to a wide variety of related areas such as: • Bioelectronics • Implantable and wearable electronics like cochlear and retinal prosthesis, motor control, etc. • Biotechnology sensor circuits, integrated systems, and networks • Micropower imaging technology • BioMEMS • Lab-on-chip Bio-nanotechnology • Organic Semiconductors • Biomedical Engineering • Genomics and Proteomics • Neuromorphic Engineering • Smart sensors • Low power micro- and nanoelectronics • Mixed-mode system-on-chip • Wireless technology • Gene circuits and molecular circuits • System biology • Brain science and engineering: such as neuro-informatics, neural prosthesis, cognitive engineering, brain computer interface • Healthcare: information technology for biomedical, epidemiology, and other related life science applications. General, theoretical, and application-oriented papers in the abovementioned technical areas with a Circuits and Systems perspective are encouraged to publish in TBioCAS. Of special interest are biomedical-oriented papers with a Circuits and Systems angle.

文献相关原料

公司名称	产品信息	采购帮参考价格