Multi-modal Framework for Fetal Heart Rate Estimation: Fusion of Low-SNR ECG and Inertial Sensors
Multi-modal Framework for Fetal Heart Rate Estimation: Fusion of Low-SNR ECG and Inertial Sensors
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胎心率估计的多模态框架：低信噪比心电图和惯性传感器的融合
DOI：
10.1109/embc46164.2021.9629975
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Tavassolian, Negar
中科院分区：
文献类型：
--
作者：
Shokouhmand, Arash;Antoine, Clarel;Young, Bruce K.;Tavassolian, Negar
本研究提出了一种新的多模态框架，胎儿心率提取，其中包括可穿戴地震心动描记术（SCG），陀螺仪（GCG），和心电图（ECG）读数从十个孕妇。首先，提出了一种基于经验模式分解（EMD）的信号细化方法来提取与胎儿心率（FHR）相关的期望信号分量。之后，开发了两种技术来融合来自不同模态的信息。第一种方法，称为早期融合，旨在通过模态内融合、模态间融合和胎心率估计来将不同模态的精细信号联合收割机组合。另一种融合方法，即，后期融合包括胎心率估计和多模态胎心率融合。估计FHR值并与错误记录的心脏分娩描记术（CTG）传感器的读数进行比较。它表明，最好的性能属于后期融合的方法与87.00%的积极百分比协议（PPA），6.30%的绝对百分比误差（APE），和10.55次每分钟（BPM）的均方根误差（RMSE）。临床相关性-建议的框架允许连续监测胎儿的健康状况在孕妇。该方法是准确的和成本效益，由于使用先进的信号处理技术和低成本的可穿戴传感器，分别。
This study presents a novel multi-modal framework for fetal heart rate extraction, which incorporates wearable seismo-cardiography (SCG), gyro-cardiography (GCG), and electrocardiography (ECG) readings from ten pregnant women. Firstly, a signal refinement method based on empirical mode decomposition (EMD) is proposed to extract the desired signal components associated with fetal heart rate (FHR). Afterwards, two techniques are developed to fuse the information from different modalities. The first method, named early fusion, is intended to combine the refined signals of different modalities through intra-modality fusion, intermodality fusion, and FHR estimation. The other fusion approach, i.e., late fusion, includes FHR estimation and intermodality FHR fusion. FHR values are estimated and compared with readings from a simultaneously-recorded cardiotocography (CTG) sensor. It is demonstrated that the best performance belongs to the late-fusion approach with 87.00% of positive percent agreement (PPA), 6.30% of absolute percent error (APE), and 10.55 beats-per-minute (BPM) of root-meansquare-error (RMSE).Clinical Relevance— The proposed framework allows for the continuous monitoring of the health status of the fetus in expectant women. The approach is accurate and cost-effective due to the use of advanced signal processing techniques and lowcost wearable sensors, respectively.
可穿戴腹部惯性传感器提取胎心率的初步研究
影响因子：
4.3
作者：
Yang, Chenxi;Antoine, Clarel;Young, Bruce K.;Tavassolian, Negar
通讯作者：
Tavassolian, Negar
关于死产。
DOI：
--
发表时间：
1982
期刊：
Journal of Pastoral Care
影响因子：
--
作者：
E. Kirkley;K. R. Kellener;S. Gould;W. Donnelly
通讯作者：
W. Donnelly