Abstract
Monitoring the fetal electrocardiogram (FECG) can provide important clinical information to obstetricians for the assessment of the fetal well-being. For the regular check-up of the fetal ECG, pregnant women have to come to hospital 2–3 times a week. It’s difficult for the working women and the women with high-risk pregnancies. The great progress in sensor technology, wireless broadband communications and Cloud computing offers the possibility of real-time collection and dissemination of personal healthy data to patients and expert physicians anytime and from anywhere. This study presents a Cloud computing-based medical care network system for at-home FECG monitoring to enables the mother to complete the check-up themselves. This will help facilitate the regular checkups during pregnancy without compromise in the wellbeing of both the mother and the foetus.
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References
Suraj P, William V, Sheng N, Ahsan K, Rajkumar B (2012) An autonomic cloud environment for hosting ECG data analysis services. Future Gener Comput Syst 28:147–154
McGregor C, Eklund JM (2010) Next generation remote critical care through service-oriented architectures: challenges and opportunities. SOCA 4:33–43
Mischi M, Sluijter RJ (2007) A robust fetal ECG detection method for abdominal recordings. Physiol Meas 28:373–388
Zhu Q, Wang M (2005) A wireless PDA-based electrocardiogram transmission system for telemedicine. Proc 2005 IEEE Eng. Med Biol 4:3807–3809
Hoang DB, Lingfeng C (2010) Mobile cloud for assistive healthcare (MoCAsH). IEEE Asia Pac Serv Comput 1:325–332
Zheng T, Girgis AA, Makram EB (2000) A hybrid wavelet-Kalman filter method for load forecasting. Electr Power Syst Res 54:11–17
Sameni R, Shamsollahi M, Jutten C, Clifford G (2007) A nonlinear bayesian filtering framework for ECG denoising. IEEE Trans Biomed Eng 54:2172–2185
Acknowledgments
This study is supported by the National Natural Science Foundation of China (60971016), the Fundamental Research Funds for the Central Universities of China (CDJXS10 16 11 13, CDJXS11 16 00 01), the Research Project of the Education Committee of Chongqing (KJ112201, KJ110508) and the Natural Science Foundation Project of CQ (cstc2011jjA40047, cstc2012jjB40010).
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© 2013 Springer-Verlag London
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Li, Gj., Liu, Nq., Wang, L., Zhou, Xn. (2013). A Household Fetal ECG Monitoring System Based on Cloud Computing. In: Du, W. (eds) Informatics and Management Science VI. Lecture Notes in Electrical Engineering, vol 209. Springer, London. https://doi.org/10.1007/978-1-4471-4805-0_5
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DOI: https://doi.org/10.1007/978-1-4471-4805-0_5
Publisher Name: Springer, London
Print ISBN: 978-1-4471-4804-3
Online ISBN: 978-1-4471-4805-0
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