惯性测量装置
可穿戴计算机
计算机科学
远程病人监护
方向(向量空间)
功率消耗
光学(聚焦)
持续监测
匹配移动
工作(物理)
运动(物理)
计量单位
身体姿势
人工智能
计算机视觉
功率(物理)
医学
物理医学与康复
嵌入式系统
工程类
光学
物理
放射科
机械工程
量子力学
数学
运营管理
几何学
作者
Santiago J. Fernández Scagliusi,Pablo Pérez-García,Andreea Madalina Oprescu,Daniel Martín Fernández,Alberto Olmo,Gloria Huertas Sénchez,Alberto Yufera
出处
期刊:IEEE Access
[Institute of Electrical and Electronics Engineers]
日期:2023-01-01
卷期号:11: 48893-48900
标识
DOI:10.1109/access.2023.3261554
摘要
Heart-Failure (HF) is among the leading hospitalization causes in modern healthcare systems. In this paper, a method for performing continuous patient monitoring is presented with a focus on low power consumption. A prototype wearable device is being developed at the University of Sevilla to collect measurements. Among the sensing components there are two major blocks formed by a commercial biological impedance analog frontend from Analog Devices (AD5940) and an Inertial Motion Unit (IMU) capable of estimating attitude of the device. This information could provide a tremendous amount of information for the physician and help diagnose and remote monitor patients with HF. A major factor that can be analyzed to provide information on patient status is activity level and body states; time spent walking or standing, laying down or seated. In this work, a body tracking / activity estimation method is proposed for low power continuous monitoring. This study reports good results characterizing the laying down position and discriminating between laying down and standing/walking and seated. The presented results are relevant for clinical practice since body motion and position can serve as a health marker for patients. Additionally, the acquired motion information can be further processed to better understand artifacts and variations in the analog impedance measurements.
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