Instrumentation & Measurement Magazine 25-5 - 50

PAC, AF, and even segments with mix arrhythmia, were classified
correctly by the proposed model. However, as shown in
Table 3, the model demonstrated the lowest classification accuracy
for segments with AF rhythm. The reason is that atrial
fibrillation arrhythmia causes frequency band confusion, and
the f wave in the AF segments was similar to high frequency
noise. Some special rhythms in the ECG segments, such as
PVC, interpolated PVC, bigeminy PVC, trigeminy and AF, can
also be classified correctly. This indicates that the designed
model can ignore the effect of abnormal rhythm and accurately
assess the signal quality.
Conclusion
The signal quality classification algorithm of wearable ECG data
plays a vital role in the wearable ECG analysis and diagnosis
systems. The waveform changing caused by arrhythmia-related
diseases may be incorrectly assessed as noise, which can lead
to the discarding of disease information. In this paper, we proposed
one deep learning model that can extract features of
different depth levels for assessing the signal quality of ECG
signals. The test accuracy of 92.31% and F1-score of 91.74% on
the ECG recordings from CPSC 2020 shows that the result of
the proposed signal quality classification model was in good
agreement with the manually marked labels. This means the
proposed model can be used as an evaluation method for analyzing
the signal quality of dynamic ECGs with arrhythmia.
Acknowledgment
This work was supported by the National Key Research and
Development Program of China (2019YFE0113800), the Distinguished
Young Scholars of Jiangsu Province (BK20190014),
the National Natural Science Foundation of China (81871444,
62001105 and 62071241), the Primary Research and Development
Plan of Jiangsu Province (BE2017735) and Postgraduate
Research and Practice Innovation Program of Jiangsu Province
(KYCX19_0068).
References
[1] U. Satija, B. Ramkumar, and M. S. Manikandan, " A review of
signal processing techniques for electrocardiogram signal quality
assessment, " IEEE Rev. Biomedical Eng., vol. 11, no. 1, pp. 36-52,
2018.
[2] C. Varon et al., " A novel algorithm for the automatic detection of
sleep apnea from single-lead ECG, " IEEE Trans. Biomed. Eng., vol.
62, no. 9, pp. 2269-2278, 2015.
[3] C. Liu, M. Yang, J. Di, Y. Xing, Y. Li, and J. Li, " Wearable ECG:
history, key technologies and future challenges, " Chinese J.
Biomed. Eng., vol. 38, no. 6, pp. 641-652, 2019.
[4] Q. Li and G. D. Clifford, " Signal quality and data fusion for false
alarm reduction in the intensive care unit, " J. Electrocardiology,
vol. 45, no. 6, pp. 596-603, 2012.
[5] M. Abdelazez et al., " Signal quality analysis of ambulatory
electrocardiograms to gate false myocardial ischemia alarms, "
IEEE Trans. Biomed. Eng., vol. 64, no. 6, pp. 1318-1325, 2017.
[6] U. Satija, B. Ramkumar, and M. S. Manikandan, " Real-time
signal quality-aware ECG telemetry system for iot-based health
50
care monitoring, " IEEE Internet of Things J., vol. 4, no. 3, pp.
815-823,2017.
[7] S. J. Kang, S. Y. Lee, H. I. Cho, and H. Park, " ECG authentication
system design based on signal analysis in mobile and wearable
devices, " IEEE Signal Processing Letters, vol. 23, no. 6, pp. 805-808,
2016.
[8] C. Liu, X. Zhang, L. Zhao, F. Liu, X. Chen, Y. Yao,and J. Li, " Signal
quality assessment and lightweight qrs detection for wearable
ECG smartvest system, " IEEE Internet of Things J., vol. 6, no. 2, pp.
1363-1374, 2019.
[9] Y. Shi et al., " Robust assessment of ECG signal quality for
wearable devices, " in Proc. IEEE Int. Conf. Healthcare Informatics
(ICHI), pp. 1-3, 2019.
[10] U. Satija et al., " A new automated signal quality-aware ECG
beat classification method for unsupervised ECG diagnosis
environments, " IEEE Sensors J., vol. 19, no. 1, pp. 277-286, 2019.
[11] Q. Li, R. G. Mark and G. D. Clifford, " Robust heart rate estimation
from multiple asynchronous noisy sources using signal quality
indices and a Kalman filter, " Physiol. Meas., vol. 29, no. 1, pp.
15-32, 2008.
[12] F. Liu, C. Liu, L. Zhao, X. Jiang, Z. Zhang and J. Li, S. Wei, Y.
Zhang, " Dynamic ECG signal quality evaluation based on the
generalized bsqi index, " IEEE Access, vol. 6, no. 1, pp. 41892-
41902, 2018.
[13] T. Ince, S. Kiranyaz, and M. Gabbouj, " A generic and robust system
for automated patient-specific classification of ECG signals, " IEEE
Trans. Biomed. Eng., vol. 56, no. 5, pp. 1415-1426, 2009.
[14] U. Satija, B. Ramkumar, and M. S. Manikandan, " Robust cardiac
event change detection method for long-term healthcare
monitoring applications, " Healthcare Technol. Letters, vol. 3, no. 2,
pp. 116-123, 2016.
[15] P. X. Quesnel, A. D. Chan, and H. Yang, " Real-time biosignal
quality analysis of ambulatory ECG for detection of myocardial
ischemia, " in Proc. 2013 IEEE Int. Symp. Medical Meas. Applications
(MeMeA), pp. 1-5, 2013.
[16] I. Jekova, V. Krasteva, I. Christov, and R. Ab├Ącherli, " Thresholdbased
system for noise detection in multilead ECG recordings, "
Physiological Meas., vol. 33, no. 9, pp. 1463-1477, 2012.
[17] S. J. Redmond, Y. Xie, D. Chang, J. Basilakis, and N. H. Lovell,
" Electrocardiogram signal quality measures for unsupervised
telehealth environments, " Physiological Meas., vol. 33, no. 9, pp.
1517-1533, 2012.
[18] C. Orphanidou et al., " Signal-quality indices for the
electrocardiogram and photoplethysmogram: Derivation and
applications to wireless monitoring, " IEEE J. Biomed. Health
Informatics, vol. 19, no. 3, pp. 832-838, 2015.
[19] M. Vaglio et al., " Use of ECG quality metrics in clinical trials, " in
Proc. 2010 Computing in Cardiology (CinC), pp. 505-508, 2010.
[20] U. R. Acharya et al., " A deep convolutional neural network model
to classify heartbeats, " Computers in Biology and Medicine, vol. 89,
no. 1, pp. 389-396, 2017.
[21] S. Chen et al., " Heartbeat classification using projected and
dynamic features of ECG signal, " Biomed. Signal Processing and
Control, vol. 31, no. 1, pp. 165-173, 2017.
[22] C. Chandrakar, and M.Sharma, " A real time approach for
ECG signal denoising and smoothing using adaptive window
IEEE Instrumentation & Measurement Magazine
August 2022

Instrumentation & Measurement Magazine 25-5

Table of Contents for the Digital Edition of Instrumentation & Measurement Magazine 25-5

Instrumentation & Measurement Magazine 25-5 - Cover1
Instrumentation & Measurement Magazine 25-5 - Cover2
Instrumentation & Measurement Magazine 25-5 - 1
Instrumentation & Measurement Magazine 25-5 - 2
Instrumentation & Measurement Magazine 25-5 - 3
Instrumentation & Measurement Magazine 25-5 - 4
Instrumentation & Measurement Magazine 25-5 - 5
Instrumentation & Measurement Magazine 25-5 - 6
Instrumentation & Measurement Magazine 25-5 - 7
Instrumentation & Measurement Magazine 25-5 - 8
Instrumentation & Measurement Magazine 25-5 - 9
Instrumentation & Measurement Magazine 25-5 - 10
Instrumentation & Measurement Magazine 25-5 - 11
Instrumentation & Measurement Magazine 25-5 - 12
Instrumentation & Measurement Magazine 25-5 - 13
Instrumentation & Measurement Magazine 25-5 - 14
Instrumentation & Measurement Magazine 25-5 - 15
Instrumentation & Measurement Magazine 25-5 - 16
Instrumentation & Measurement Magazine 25-5 - 17
Instrumentation & Measurement Magazine 25-5 - 18
Instrumentation & Measurement Magazine 25-5 - 19
Instrumentation & Measurement Magazine 25-5 - 20
Instrumentation & Measurement Magazine 25-5 - 21
Instrumentation & Measurement Magazine 25-5 - 22
Instrumentation & Measurement Magazine 25-5 - 23
Instrumentation & Measurement Magazine 25-5 - 24
Instrumentation & Measurement Magazine 25-5 - 25
Instrumentation & Measurement Magazine 25-5 - 26
Instrumentation & Measurement Magazine 25-5 - 27
Instrumentation & Measurement Magazine 25-5 - 28
Instrumentation & Measurement Magazine 25-5 - 29
Instrumentation & Measurement Magazine 25-5 - 30
Instrumentation & Measurement Magazine 25-5 - 31
Instrumentation & Measurement Magazine 25-5 - 32
Instrumentation & Measurement Magazine 25-5 - 33
Instrumentation & Measurement Magazine 25-5 - 34
Instrumentation & Measurement Magazine 25-5 - 35
Instrumentation & Measurement Magazine 25-5 - 36
Instrumentation & Measurement Magazine 25-5 - 37
Instrumentation & Measurement Magazine 25-5 - 38
Instrumentation & Measurement Magazine 25-5 - 39
Instrumentation & Measurement Magazine 25-5 - 40
Instrumentation & Measurement Magazine 25-5 - 41
Instrumentation & Measurement Magazine 25-5 - 42
Instrumentation & Measurement Magazine 25-5 - 43
Instrumentation & Measurement Magazine 25-5 - 44
Instrumentation & Measurement Magazine 25-5 - 45
Instrumentation & Measurement Magazine 25-5 - 46
Instrumentation & Measurement Magazine 25-5 - 47
Instrumentation & Measurement Magazine 25-5 - 48
Instrumentation & Measurement Magazine 25-5 - 49
Instrumentation & Measurement Magazine 25-5 - 50
Instrumentation & Measurement Magazine 25-5 - 51
Instrumentation & Measurement Magazine 25-5 - 52
Instrumentation & Measurement Magazine 25-5 - 53
Instrumentation & Measurement Magazine 25-5 - 54
Instrumentation & Measurement Magazine 25-5 - 55
Instrumentation & Measurement Magazine 25-5 - 56
Instrumentation & Measurement Magazine 25-5 - 57
Instrumentation & Measurement Magazine 25-5 - 58
Instrumentation & Measurement Magazine 25-5 - 59
Instrumentation & Measurement Magazine 25-5 - 60
Instrumentation & Measurement Magazine 25-5 - 61
Instrumentation & Measurement Magazine 25-5 - 62
Instrumentation & Measurement Magazine 25-5 - 63
Instrumentation & Measurement Magazine 25-5 - 64
Instrumentation & Measurement Magazine 25-5 - 65
Instrumentation & Measurement Magazine 25-5 - 66
Instrumentation & Measurement Magazine 25-5 - 67
Instrumentation & Measurement Magazine 25-5 - Cover3
Instrumentation & Measurement Magazine 25-5 - Cover4
https://www.nxtbook.com/allen/iamm/26-6
https://www.nxtbook.com/allen/iamm/26-5
https://www.nxtbook.com/allen/iamm/26-4
https://www.nxtbook.com/allen/iamm/26-3
https://www.nxtbook.com/allen/iamm/26-2
https://www.nxtbook.com/allen/iamm/26-1
https://www.nxtbook.com/allen/iamm/25-9
https://www.nxtbook.com/allen/iamm/25-8
https://www.nxtbook.com/allen/iamm/25-7
https://www.nxtbook.com/allen/iamm/25-6
https://www.nxtbook.com/allen/iamm/25-5
https://www.nxtbook.com/allen/iamm/25-4
https://www.nxtbook.com/allen/iamm/25-3
https://www.nxtbook.com/allen/iamm/instrumentation-measurement-magazine-25-2
https://www.nxtbook.com/allen/iamm/25-1
https://www.nxtbook.com/allen/iamm/24-9
https://www.nxtbook.com/allen/iamm/24-7
https://www.nxtbook.com/allen/iamm/24-8
https://www.nxtbook.com/allen/iamm/24-6
https://www.nxtbook.com/allen/iamm/24-5
https://www.nxtbook.com/allen/iamm/24-4
https://www.nxtbook.com/allen/iamm/24-3
https://www.nxtbook.com/allen/iamm/24-2
https://www.nxtbook.com/allen/iamm/24-1
https://www.nxtbook.com/allen/iamm/23-9
https://www.nxtbook.com/allen/iamm/23-8
https://www.nxtbook.com/allen/iamm/23-6
https://www.nxtbook.com/allen/iamm/23-5
https://www.nxtbook.com/allen/iamm/23-2
https://www.nxtbook.com/allen/iamm/23-3
https://www.nxtbook.com/allen/iamm/23-4
https://www.nxtbookmedia.com