Modern wearable healthcare devices require new technologies with resource efficiency in
terms of high performance, low energy consumption and diagnostic accuracy. In the field of …

This study proposes a low-power wearable electrocardiogram (ECG) acquisition system for
monitoring human health in daily life. A flexible sensing electrode was designed to replace …

Energy consumption involved in wireless transmission poses a major challenge in the
implementation of wireless body area networks (WBAN). Compressed sensing (CS)-based …

The power of the networks of Wireless Body Sensor are too huge to ignore. WBSNs have
promised to enable their innovative, vast, simultaneous, and accurate monitoring …

The blockage of blood in the vessels results in heart attacks and cardiac arrests which are
referred to as myocardial infarction. Early detection of such infarction is feasible through …

There has been a sharp rise in the amount of data available for analysis in many
professional fields in recent years. In the medical sector, this significant increase in data can …

为了解决在无线分布式瞬态压力测试中高采样率带来的数据冗余和无线资源受限间的矛盾,
压缩感知方法被提出在编码端实现冗余数据的压缩采样. 但每个节点均需存储高维压缩感知观测 …

Especially in response to pandemics and technological advances, cardiopulmonary
diseases, like other diseases, have increased the importance of teleassessment methods …

For low-power, energy-efficient wearable edge health devices and health monitoring
systems, compressed sensing (CS) achieves significant advances by sampling at sub …

摘要为提高可穿戴心电监护系统的重构精度ꎬ 提出了一种结合多测向量模型的块稀疏贝叶斯
学习心电信号重构算法ꎬ 并在算法的求解过程中使用快速边缘似然最大化算法ꎮ 对MIT-BIH …