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A Novel Wearable Sensor System for Multi-lead ECG Measurement

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Book cover Applications in Electronics Pervading Industry, Environment and Society (ApplePies 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 512))

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Abstract

This work is concerned with the development of a wireless low-power wearable system to be used for multi-lead ECG monitoring. Potential applications can range from sport and fitness to healthcare.Query The paper aims to present the architecture of the system and its performance, along with in vivo results achieved with carbon based smart textiles.

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References

  1. http://www.who.int/mediacentre/factsheets/fs310/en/

  2. Winter, B.B. Webster, J.G.: Driven-right-leg circuit design. IEEE Trans. Biomed. Eng. BME-30(1), 62–66 (1983)

    Article  Google Scholar 

  3. Caldara, M., et al.: Application of a wireless BSN for gait and balance assessment in the elderly, 2015. In: IEEE 12th BSN, pp. 1–6. Cambridge, MA (2015)

    Google Scholar 

  4. Caldara, M. et al.: A Novel Body Sensor Network for Parkinson’s Disease Patients Rehabilitation Assessment 2015. IEEE 12th BSN, pp. 81–86. Zurich

    Google Scholar 

  5. Azariadi, D., et al.: ECG signal analysis and arrhythmia detection on IoT wearable medical devices. In: 5th MOCAST, 2016, pp. 1–4 (2016)

    Google Scholar 

  6. ADS1298 datasheet. Texas Instruments, http://www.ti.com/lit/ds/symlink/ads1298r.pdf

  7. Caldara, M., et al.: Wearable sensor system for multi-lead ECG measurement. In: 2017 IEEE 14th BSN, pp. 137–140. Eindhoven (2017)

    Google Scholar 

  8. Delano, M.K., et al.: A long-term wearable electrocardiogram measurement system. In: 2013 IEEE BSN, pp. 1–6. Cambridge, MA, USA (2013)

    Google Scholar 

  9. I. J. Wang et al., “A Wearable Mobile Electrocardiogram measurement device with novel dry polymer-based electrodes,” IEEE TENCON 2010 Conference, Fukuoka, pp. 379–384

    Google Scholar 

  10. Lee, S.C., et al.: A robust wearable u-healthcare platform in wireless sensor network. J. Commun. Netw. 16(4), 465–474 (2014)

    Article  Google Scholar 

  11. Gjoreski, H., et al.: Telehealth using ECG sensor and accelerometer. In: MIPRO, 37th International Convention, pp. 270–274. Opatija (2014)

    Google Scholar 

  12. Valchinov, E., et al.: Wearable ECG system for health and sports monitoring. In: 4th MOBIHEALTH International Conference, pp. 63–66. Athens (2014)

    Google Scholar 

  13. Spanò, E., et al.: Low-power wearable ecg monitoring system for multiple-patient remote monitoring. IEEE Sens. J. 16(13), 5452–5462 (2016)

    Article  Google Scholar 

  14. Preejith, S.P., et al.: Wearable ECG platform for continuous cardiac monitoring. In: 2016 38th IEEE EMBC, pp. 623–626. Orlando, FL (2016)

    Google Scholar 

  15. https://www.zephyranywhere.com/media/download/bioharness3-user-manual.pdf

  16. http://www.alivetec.com/alive-bluetooth-heart-activity-monitor/

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Author information

Authors and Affiliations

  1. Department of Engineering and Applied Sciences, University of Bergamo, Viale Marconi 5, 24044, Dalmine, BG, Italy

    Michele Caldara, Daniele Comotti, Luigi Gaioni, Andrea Pedrana, Matteo Pezzoli, Valerio Re & Gianluca Traversi

  2. 221e srl, Via Pasubio 5, 24044, Dalmine, BG, Italy

    Daniele Comotti & Matteo Pezzoli

Authors
  1. Michele Caldara
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  2. Daniele Comotti
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  3. Luigi Gaioni
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  4. Andrea Pedrana
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  5. Matteo Pezzoli
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  6. Valerio Re
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  7. Gianluca Traversi
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Corresponding author

Correspondence to Andrea Pedrana .

Editor information

Editors and Affiliations

  1. Università degli studi di Genova, Genoa, Italy

    Alessandro De Gloria

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Caldara, M. et al. (2019). A Novel Wearable Sensor System for Multi-lead ECG Measurement. In: De Gloria, A. (eds) Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2017. Lecture Notes in Electrical Engineering, vol 512. Springer, Cham. https://doi.org/10.1007/978-3-319-93082-4_9

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  • DOI: https://doi.org/10.1007/978-3-319-93082-4_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93081-7

  • Online ISBN: 978-3-319-93082-4

  • eBook Packages: EngineeringEngineering (R0)

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