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Bio-Signal System Design for Real-Time Ambulatory Patient Monitoring and Abnormalities Detection System

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Innovations in Electronics and Communication Engineering

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 33))

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Abstract

This paper aims to design and implement low-cost real-time patient vital sign monitoring in moving ambulance that provides patient’s clinical data to doctors well in advance so the doctors are well prepared on the arrival of patient and also do further research to protection of human life and to implement technology for social cause. The system is developed such that it will transmit the essential details of a person to the hospital personnel. Also, camera-aided interaction between the doctor and the patient provided by this system also provides important information about patient condition in ambulance; the doctor can also interact with the patient attendant in ambulance and other hospital staff, surgeons, and doctors in case of emergency and give them instructions on the required immediate treatment for the patient on his/her arrival at hospital. In addition to this, the algorithms are designed to detect abnormalities in patient conditions and to create alerts. This work is implemented at VNR VJIET, Hyderabad as a part of UGC funded Research project.

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References

  1. Mehta B, Rengarajan D, Prasad A (2012) Real time patient tele-monitoring system using LabVIEW. Int J Sci Eng Res 3(4):1–11

    Google Scholar 

  2. Muthaiyan M, Goel N, Prakash DS (2012) Virtual e-medic: a cloud based medical aid. Int J Comput Electr Autom Control Inf Eng 6(11):1–4

    Google Scholar 

  3. Natarajan N, Aparna S, Sam Jeba Kumar J (2012) Robot aided remote medical assistance system using LabVIEW. Int J Comput Appl 38(2):0975–8887

    Google Scholar 

  4. Ganser M, Dhar S, Kurup U, Cunha C (2015) A data-driven approach towards patient identification for telehealth programs. In: Big Data (Big Data), 2015 IEEE international conference, pp 2551–2559

    Google Scholar 

  5. Akshay N, Vamsi Krishna G (2016) Design & implementation of real time bio-signal acquisition system for quality health care services for the population of rural India. In: IEEE international conference on recent trends in electronics information communication technology, pp 1315–1399

    Google Scholar 

  6. Akshay N, Jonnabhotla NAV, Sadam N, Yeddanapudi ND (2010) ECG noise removal and QRS complex detection using UWT. In: 2010 international conference on electronics and information engineering (ICEIE), vol 2, pp 438–442

    Google Scholar 

  7. Lascu M, Lascu D (2007) LabVIEW based biomedical signal acquisition and processing. In: Proceedings of the 7th WSEAS international conference on signal processing, computational geometry & artificial vision, Athens, Greece

    Google Scholar 

  8. Figueredo MVM, Dias JS (2004) Mobile telemedicine system for home care and patient monitoring. In: Proceedings of the 26th annual international conference of the IEEE EMBS San Francisco, CA, USA

    Google Scholar 

  9. Suma KV, Sandeep S, Vikram S, Hanjar K (2015) Cardiogenic shock monitoring system for ambulance. In: 2015 international conference on advances in computing, communications and informatics (ICACCI), pp 1357–1360

    Google Scholar 

  10. Yan W, Zhigang M, Sihai Q (2010) System of medical emergency ambulance for community based on Zigbee. In: 2010, 2nd international conference on information science and engineering (ICISE) date of conference, pp 6983–6985

    Google Scholar 

  11. Almadani B, Bin-Yahya M, Shakshuki EM (2015) E AMBULANCE: real-time integration platform for heterogeneous medical telemetry system. Procedia Comput Sci 63:400–407

    Google Scholar 

  12. Bellos CC, Rosso R (2014) Identification of COPD patients’ health status using an intelligent system in the CHRONIOUS wearable platform. IEEE J Biomed Health Inf 18(3):731–738

    Article  Google Scholar 

  13. Julio YER (2015) Development of a prototype arduino-mobile in area of telemedicine for remote monitoring diabetic people. In: Asia-Pacific conference on IEEE conference computer aided system engineering (APCASE), pp 36–40

    Google Scholar 

  14. Sarmiento CA, Castano FA, Hernandez AM, Lemos JD (2015) Device for integration of clinical information of biomedical equipments. Health care exchanges (PAHCE), 2015 Pan American, pp 1–11

    Google Scholar 

  15. Lascu M, Lascu D (2014) Smart multi-level tool for remote patient monitoring based on a wireless sensor network and mobile augmented reality. Sensors 14:17212–17234

    Google Scholar 

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Author information

Authors and Affiliations

  1. VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India

    Akshay Naregalkar & G. Vamsi Krishna

Authors
  1. Akshay Naregalkar
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  2. G. Vamsi Krishna
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Corresponding author

Correspondence to Akshay Naregalkar .

Editor information

Editors and Affiliations

  1. Guru Nanak Institutions, Ibrahimpatnam, Telangana, India

    H. S. Saini

  2. Guru Nanak Institutions Technical Campus, Ibrahimpatnam, Telangana, India

    Ravi Kishore Singh

  3. Department of Electrical and Computer Engineering, Rutgers University, New Brunswick, NJ, USA

    Vishal M. Patel

  4. Department of Electronics and Communication Engineering, Guru Nanak Institutions Technical Campus, Ibrahimpatnam, Telangana, India

    K. Santhi

  5. Research and Development, Guru Nanak Institutions Technical Campus, Ibrahimpatnam, Telangana, India

    S.V. Ranganayakulu

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Naregalkar, A., Vamsi Krishna, G. (2019). Bio-Signal System Design for Real-Time Ambulatory Patient Monitoring and Abnormalities Detection System. In: Saini, H., Singh, R., Patel, V., Santhi, K., Ranganayakulu, S. (eds) Innovations in Electronics and Communication Engineering. Lecture Notes in Networks and Systems, vol 33. Springer, Singapore. https://doi.org/10.1007/978-981-10-8204-7_10

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  • DOI: https://doi.org/10.1007/978-981-10-8204-7_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8203-0

  • Online ISBN: 978-981-10-8204-7

  • eBook Packages: EngineeringEngineering (R0)

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