# Signal Quality Assessment and Lightweight QRS Detection for Wearable ECG SmartVest System

@article{Liu2019SignalQA,
title={Signal Quality Assessment and Lightweight QRS Detection for Wearable ECG SmartVest System},
author={Chengyu Liu and X. Zhang and Lina Zhao and Feifei Liu and Xing-bin Chen and Yingjia Yao and Jianqing Li},
journal={IEEE Internet of Things Journal},
year={2019},
volume={6},
pages={1363-1374}
}
• C. Liu, +4 authors Jianqing Li
• Published 2019
• Computer Science
• IEEE Internet of Things Journal
Recently, development of wearable and Internet of Things (IoT) technologies enables the real-time and continuous individual electrocardiogram (ECG) monitoring. [...] Key Result 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.Expand
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#### References

SHOWING 1-10 OF 54 REFERENCES
Real-Time Signal Quality-Aware ECG Telemetry System for IoT-Based Health Care Monitoring
• Computer Science
• IEEE Internet of Things Journal
• 2017
In this paper, we propose a novel signal quality-aware Internet of Things (IoT)-enabled electrocardiogram (ECG) telemetry system for continuous cardiac health monitoring applications. The proposedExpand
A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone
• Engineering, Computer Science
• Sensors
• 2015
A wearable, low power context-aware ECG monitoring system integrated built-in kinetic sensors of the smartphone with a self-designed ECG sensor that improves diagnosis accuracy for arrhythmias and identifying the most common abnormal ECG patterns in different activities is proposed. Expand
A lightweight QRS detector for single lead ECG signals using a max-min difference algorithm
• Computer Science, Medicine
• Comput. Methods Programs Biomed.
• 2017
The empirical results indicate that the proposed lightweight real-time sliding window-based Max-Min Difference algorithm for QRS detection from Lead II ECG signals yields a high accuracy rate and exhibits efficient computational complexity at the order of O(n), where n is the length of an ECG signal. Expand
QRS detection based ECG quality assessment.
• Computer Science, Medicine
• Physiological measurement
• 2012
While the simplified algorithm may be accurate for real-time feedback during ECG self-recordings, QRS detection based measures can further increase the performance if sufficient computing power is available. Expand
A Wearable Healthcare System With a 13.7 $\mu$ A Noise Tolerant ECG Processor
• S. Izumi, +8 authors M. Yoshimoto
• Engineering, Computer Science
• IEEE Transactions on Biomedical Circuits and Systems
• 2015
An electrocardiograph (ECG) processor for use with a wearable healthcare system that comprises an analog front end, a 12-bit ADC, a robust Instantaneous Heart Rate (IHR) monitor, a 32-bit Cortex-M0 core, and 64 Kbyte Ferroelectric Random Access Memory (FeRAM). Expand
Real-time signal quality assessment for ECGs collected using mobile phones
• Computer Science
• 2011 Computing in Cardiology
• 2011
A real-time signal quality assessment method for ECGs collected using mobile phones and two indices, Sensitivity and Specificity, are defined to evaluate the validity of this paper's method and the results are 90.67% and 89.78% respectively. Expand
Electrocardiogram signal quality assessment using an artificially reconstructed target lead
• Engineering, Medicine
• Computer methods in biomechanics and biomedical engineering
• 2015
Although ECI analysis acts effectively against high-energy disturbances, very poor performance is obtained in cases where the energy of the disturbances is not considerable, however, the correlation-based method is able to find all kinds of disturbances. Expand
An Adaptive and Time-Efficient ECG R-Peak Detection Algorithm
• Medicine, Computer Science
• Journal of healthcare engineering
• 2017
An adaptive and time-efficient R-peak detection algorithm for ECG processing was proposed using wavelet multiresolution analysis to enhance the ECG signal representation and local maximums were calculated by the first-order forward differential approach to locate the R-peaks. Expand
Matrix of regularity for improving the quality of ECGs.
• Medicine
• Physiological measurement
• 2012
The matrix of regularity is a novel mechanism to fuse results from multiple tests of signal quality that can produce a continuous grade, which can more accurately represent the quality of an ECG. Expand
Multimodal heart beat detection using signal quality indices.
• Computer Science, Medicine
• Physiological measurement
• 2015
Fusion of R peaks from other signals has the potential to provide informed estimates of the R peak location in situations where the ECG is noisy or completely absent, and is likely to reduce false alarms due to inaccurate derived parameters. Expand