Design and Development of an Innovative Biomedical Engineering Application Toolkit (B.E.A.T. ®) for m-Health Applications | SpringerLink
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Design and Development of an Innovative Biomedical Engineering Application Toolkit (B.E.A.T. ®) for m-Health Applications

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Advances in Signal Processing and Intelligent Recognition Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 425))

Abstract

Obtaining on-the-go medical grade reliable data in noisy environment is a challenge faced by developers across the globe. While transporting patients, mobile phones connected wirelessly to the sensors have tremendous lifesaving applications. Recent trends in research have shown promises in the use of continuous biomedical signals for Biometric applications. However, practical applications of such systems will be possible only if they can generate real time medical grade data in environment having radical noise. This paper details the design and development of B.E.A.T. ® - an innovative system which captures medical grade physiological signals using 2 leads with or without the use of pre-gelled electrodes over Android OS.

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Author information

Authors and Affiliations

  1. Cardea Labs, New Delhi, 110067, India

    Abhinav & Abhijith Bailur

  2. Computer Science Department, IIT Delhi, Delhi, 110016, India

    Avval Gupta

  3. M.B.A., IMT Dubai, Dubai, UAE

    Shona Saseendran

  4. Department of Cardiology, AIIMS, New Delhi, 110019, India

    Rajnish Juneja & Balram Bhargava

Authors
  1. Abhinav
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  2. Avval Gupta
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  3. Shona Saseendran
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  4. Abhijith Bailur
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  5. Rajnish Juneja
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  6. Balram Bhargava
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Corresponding author

Correspondence to Abhinav .

Editor information

Editors and Affiliations

  1. and Management – Kerala (IIITM-K), Indian Inst. of Information Technology, Trivandrum, Kerala, India

    Sabu M. Thampi

  2. Machine Intelligence Unit, Indian Statistical Institute, Kolkata, West Bengal, India

    Sanghamitra Bandyopadhyay

  3. Department of Electrical, Ryerson University, Toronto, Ontario, Canada

    Sri Krishnan

  4. Providence University, Taichung, Taiwan

    Kuan-Ching Li

  5. Computer Engineering Department, Vladimir State University, Vladimir Region, Russia

    Sergey Mosin

  6. School of Electrical, Nanyang Technological University, Singapore, Singapore

    Maode Ma

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Cite this paper

Abhinav, Gupta, A., Saseendran, S., Bailur, A., Juneja, R., Bhargava, B. (2016). Design and Development of an Innovative Biomedical Engineering Application Toolkit (B.E.A.T. ®) for m-Health Applications. In: Thampi, S., Bandyopadhyay, S., Krishnan, S., Li, KC., Mosin, S., Ma, M. (eds) Advances in Signal Processing and Intelligent Recognition Systems. Advances in Intelligent Systems and Computing, vol 425. Springer, Cham. https://doi.org/10.1007/978-3-319-28658-7_26

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  • DOI: https://doi.org/10.1007/978-3-319-28658-7_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28656-3

  • Online ISBN: 978-3-319-28658-7

  • eBook Packages: EngineeringEngineering (R0)

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