论文标题
物联网传感器的广义信号质量估计方法
A Generalized Signal Quality Estimation Method for IoT Sensors
论文作者
论文摘要
物联网可穿戴设备被普遍期望降低个人医疗保健的成本和风险。但是，从此类设备收集的卧床数据通常被严重的噪音损坏或污染。信号质量指标（SQI）可用于评估从可穿戴设备获得的数据质量，以便可以防止传输/存储无法使用的数据。本文介绍了一种新颖而广义的SQI，可以在边缘设备上实现，以检测观察到的任何准周期信号的质量，无论存在的噪声类型如何。研究了该SQI在心电图（ECG）信号上的应用。从进行的分析中可以发现，所提出的广义SQI适用于对ECG信号的质量评估，并在所考虑的所有噪声条件下在培养基至高SNR区域中表现出线性行为。所提出的SQI用于在CINC Physionet 2011挑战数据集中对ECG记录的可接受性测试，并发现90.4％的记录是准确的，同时具有最小的计算复杂性。
IoT wearable devices are widely expected to reduce the cost and risk of personal healthcare. However, ambulatory data collected from such devices are often corrupted or contaminated with severe noises. Signal Quality Indicators (SQIs) can be used to assess the quality of data obtained from wearable devices, such that transmission/ storage of unusable data can be prevented. This article introduces a novel and generalized SQI which can be implemented on an edge device for detecting the quality of any quasi-periodic signal under observation, regardless of the type of noise present. The application of this SQI on Electrocardiogram (ECG) signals is investigated. From the analysis carried out, it was found that the proposed generalized SQI is suitable for quality assessment of ECG signals and exhibits a linear behavior in the medium to high SNR regions under all noise conditions considered. The proposed SQI was used for acceptability testing of ECG records in CinC Physionet 2011 challenge dataset and found to be accurate for 90.4% of the records while having minimal computational complexity.
