期刊
IEEE INTERNET OF THINGS JOURNAL
卷 6, 期 2, 页码 1363-1374出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2018.2844090
关键词
Cardiovascular disease (CVD) monitoring; eHealth and mHealth; electrocardiogram (ECG); electrocardiogram QRS detection; Internet of Things (IoT); signal quality assessment (SQA); wearable ECG device
资金
- National Natural Science Foundation of China [61571113, 61671275]
- Key Research and Development Programs of Jiangsu Province [BE2017735]
- Fundamental Research Funds for the Central Universities [2242018k1G010]
Recently, development of wearable and Internet of Things (IoT) technologies enables the real-time and continuous individual electrocardiogram (ECG) monitoring. In this paper, we develop a novel IoT-based wearable 12-lead ECG SmartVest system for early detection of cardiovascular diseases, which consists of four typical IoT components: 1) sensing layer using textile dry ECG electrode; 2) network layer utilizing Bluetooth, WiFi, etc.; 3) cloud saving and calculation platform and server; and 4) application layer for signal analysis and decision making. We focus on addressing the challenge of real-time signal quality assessment (SQA) and lightweight QRS detection for wearable ECG application. First, a combination method of multiple signal quality indices and machine learning is proposed for classifying 10-s single-channel ECG segments as acceptable and unacceptable. Then a lightweight QRS detector is developed for accurate location of QRS complexes. The results show that the proposed SQA method can efficiently deal with tradeoff between accepting good (97.9%) and rejecting poor (96.4%) quality ECGs, ensuring that only a low percentage of recorded ECGs are discarded. The proposed lightweight QRS detector achieves a F-1 score higher than 99.5% for processing clean ECGs. Meanwhile, it reports significantly higher F-1 scores than two existing QRS detectors for processing noisy ECGs. In addition, it also has a fine computation efficiency. This paper demonstrates that the developed IoT-driven ECG SmartVest system can be applied for widely monitoring the population during daily life and has a promising application future.
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