An Integrated Sensing Platform for Remote Fetus Continuous Monitoring

João Andrade, Artur Arsenio, Andreia Duarte


Technological developments on health sensing devices, associated with the growing computational capabilities of mobile devices, enable the creation of solutions that address mobility concerns of patients, especially those located on remote locations or facing mobility constraints. This paper proposes an integrated sensing platform, which works transparently with new sensing, portable equipment sensors, but maintaining as well compatibility with currently deployed commercial tools. This platform targets fetus health monitoring in pregnant women, presenting a new non-invasive portable alternative system that allows long-term pregnancy surveillance. Additionally, it can be applied to other users’ communities, such as remote elderly monitoring at home. We address technology adoption problems related to non-invasive, portable sensing technologies, data security and equipment heterogeneity.


  1. Abdelzaher, T., Anokwa, Y., Boda, P., Burke, J., Estrin, D., Guibas, L., Kansal, A., et al. (2007). Mobiscopes for Human Spaces. IEEE Pervasive Computing, 6(2), 20-29. doi:10.1109/MPRV.2007.38.
  2. Alfirevic, Z., Devane, D., & Gyte, G. M. L. (2006). Continuous cardiotocography (CTG) as a form of electronic fetal monitoring (EFM) for fetal assessment during labour. Cochrane database of systematic reviews (Online), (3), CD006066.
  3. American College of Obstetricians and Gynecologists. (2009). ACOG Practice Bulletin No. 106: Intrapartum fetal heart rate monitoring: nomenclature, interpretation, and general management principles. Obstetrics and gynecology, 114(1), 192-202. doi:10.1097/AOG.0b013e3181aef106.
  4. Banta, D. H., & Thacker, S. B. (2001). Historical controversy in health technology assessment: the case of electronic fetal monitoring. Obstetrical & gynecological survey, 56(11), 707-19.
  5. Campbell, A. T., Eisenman, S. B., Lane, N. D., Miluzzo, E., Peterson, R. A., Lu, H. L. H., Zheng, X. Z. X., et al. (2008) The Rise of People-Centric Sensing. , 12 IEEE Internet Computing 12-21. IEEE Computer Society. doi:10.1109/MIC.2008.90.
  6. CESDI 7th Annual Report - CTG Education Survey (2000). Maternal and Child Health Research Consortium, London, Tech. Report.
  7. Crowe, J. A., Harrison, A., & Hayes-Gill, B. R. (1995). The feasibility of long-term fetal heart rate monitoring in the home environment using maternal abdominal electrodes. Physiological measurement, 16(3), 195- 202.
  8. Devoe, L. D. (2011). Electronic fetal monitoring: does it really lead to better outcomes? American journal of obstetrics and gynecology, 204(6), 455-6. doi:10.1016/j.ajog.2011.04.023.
  9. Gandhi, O. P., Morgan, L. L., De Salles, A. A., Han, Y.- Y., Herberman, R. B., & Davis, D. L. (2012). Exposure limits: the underestimation of absorbed cell phone radiation, especially in children. Electromagnetic biology and medicine, 31(1), 34-51. doi:10.3109/15368378.2011.622827.
  10. Graatsma, E. M., Jacod, B. C., Van Egmond, L. A. J., Mulder, E. J. H., & Visser, G. H. A. (2009). Fetal electrocardiography: feasibility of long-term fetal heart rate recordings. BJOG?: an international journal of obstetrics and gynaecology, 116(2), 334-7; discussion 337-8.
  11. Graham, E. M., Ruis, K., Hartman, A. L., Northington, F. J., & Fox H. E. (2008) “A systematic review of the role of intrapartum hypoxiaischemia in the causation of neonatal encephalopathy.” American journal of obstetrics and gynecology, vol. 199, no. 6, pp. 587-95.
  12. Jenkins, H. (1986). Technical progress in fetal electrocardiography - a review. Journal of Perinatal Medicine, 14, 365-377.
  13. Kansal, A., Goraczko, M., & Zhao, F. (2007). Building a sensor network of mobile phones. Proceedings of the 6th international conference on Information processing in sensor networks. doi:10.1145/1236360.1236433.
  14. Karvounis, E. C., Tsipouras, M. G., Papaloukas, C., Tsalikakis, D. G., Naka, K. K., & Fotiadis, D. I. (2010). A non-invasive methodology for fetal monitoring during pregnancy. Methods of information in medicine, 49(3), 238-53. doi:10.3414/ME09-01- 0041.
  15. Lane, N. D., Miluzzo, E., Lu, H. L. H., Peebles, D., Choudhury, T., & Campbell, A. T. A survey of mobile phone sensing. IEEE Communications Magazine 140- 150 (2010).
  16. Lomotey, R. & Deters, R. (2014). Mobile-Based Medical Data Accessibility in mHealth. 2nd IEEE Int. Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), April, 91-100.
  17. Lu, H., Pan, W., Lane, N. D., Choudhury, T., & Campbell, A. T. (2009). SoundSense?: Scalable Sound Sensing for People-Centric Applications on Mobile Phones. Architecture, 165-178.
  18. Miluzzo, E., Lane, N. D., Fodor, K., Peterson, R., Lu, H., Musolesi, M., Eisenman, S. B., et al. (2008). Sensing Meets Mobile Social Networks?: The Design , Implementation and Evaluation of the CenceMe Application. Architectural Design, 10, 337-350. doi:10.1145/1460412.1460445.
  19. Piéri, J. F., Crowe, J. A., Hayes-Gill, B. R., Spencer, C. J., Bhogal, K., & James, D. K. (2001). Compact longterm recorder for the transabdominal foetal and maternal electrocardiogram. Medical & biological engineering & computing, 39(1), 118-25.
  20. Taylor, M. J. O., Smith, M. J., Thomas, M., Green, A. R., Cheng, F., Oseku-Afful, S., Wee, L. Y., et al. (2003). Non-invasive fetal electrocardiography in singleton and multiple pregnancies. BJOG?: an international journal of obstetrics and gynaecology, 110(7), 668- 78.
  21. Thomas, M. J., Cleal, J. K., Hanson, M. A., Green, L. R., & Gardiner, H. M. (2008). Non-invasive fetal electrocardiography: Validation and interpretation. 4th IET International Conference on Advances in Medical, Signal and Information Processing MEDSIP, 1-4.
  22. Zapata, B., Hernandez Ninirola, A., Fernandez-Aleman, J. & Toval, A. (2014). Assessing the privacy policies in mobile personal health records. 36th Annual Int. Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Aug, 4956 - 4959.
  23. Zhang, D., Guo, B., Li, B., & Yu, Z. (2010). Extracting Social and Community Intelligence from Digital Footprints: An Emerging Research Area. Ubiquitous Intelligence and Computing, Vol. 6406, 4-18. Springer-Verlag Berlin.

Paper Citation

in Harvard Style

Andrade J., Arsenio A. and Duarte A. (2015). An Integrated Sensing Platform for Remote Fetus Continuous Monitoring . In Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: SmartMedDev, (BIOSTEC 2015) ISBN 978-989-758-071-0, pages 250-259. DOI: 10.5220/0005318302500259

in Bibtex Style

author={João Andrade and Artur Arsenio and Andreia Duarte},
title={An Integrated Sensing Platform for Remote Fetus Continuous Monitoring},
booktitle={Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: SmartMedDev, (BIOSTEC 2015)},

in EndNote Style

JO - Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: SmartMedDev, (BIOSTEC 2015)
TI - An Integrated Sensing Platform for Remote Fetus Continuous Monitoring
SN - 978-989-758-071-0
AU - Andrade J.
AU - Arsenio A.
AU - Duarte A.
PY - 2015
SP - 250
EP - 259
DO - 10.5220/0005318302500259