Skip to main content

A Novel Approach to Unify Robotics, Sensors, and Cloud Computing Through IoT for a Smarter Healthcare Solution for Routine Checks and Fighting Epidemics

  • Conference paper
Internet of Things. IoT Infrastructures (IoT360 2015)

Abstract

This paper attempts to project a novel concept where medical sensors, cloud computing and robotic platform are unified to offer state-of-the-art healthcare solutions to a wide variety of scenarios. The proposed solution is most effective if there is scarcity of healthcare providers or if putting them in the field expose them into a high risk environment such as fighting epidemics. In addition, the proposed system will also benefit routine checks in quarantine wards of hospitals where human reluctance of performing routine task by the healthcare providers can be avoided. Finally, it can also assist a doctor as a decision support system by using machine’s capability of number crunching while it examines through patient’s complete history, goes through every medical test reports and then applies data mining for catching possible ailments from his/her symptoms.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://tcup.web2labs.net/tcup/assets/TCUPWebpages-Kol-v1.4/TCUP-Mainpage.html.

  2. 2.

    http://hydrology1.nmsu.edu/teaching/soil698/student_material/AutoAnalyzer.

  3. 3.

    http://www.ibm.com/smarterplanet/us/en/ibmwatson.

  4. 4.

    https://www.cooking-hacks.com/documentation/tutorials/ehealth-biometric-sensor-platform-arduino-raspberry-pi-medical.

  5. 5.

    http://www.flir.com/flirone/.

  6. 6.

    http://www.instructables.com/id/10-Smartphone-to-digital-microscope-conversion/.

  7. 7.

    https://jena.apache.org/.

  8. 8.

    http://omronhealthcare.com/blood-pressure/upper-arm/.

  9. 9.

    http://www.alivecor.com/.

  10. 10.

    http://www.cs.ucr.edu/~eamonn/discords.

References

  1. Kwoh, Y.S., Hou, J., Jonckheere, E., Hayati, S., et al.: A robot with improved absolute positioning accuracy for CT guided stereotactic brain surgery. IEEE Trans. Biomed. Eng. 35(2), 153–160 (1988)

    Article  Google Scholar 

  2. Yadav, A., Ghune, M., Jain, D.K.: Nano-medicine based drug delivery system. J Adv. Pharm. Educ. Res. 1, 201–213 (2011)

    Google Scholar 

  3. Kwakkel, G., Kollen, B.J., Krebs, H.I.: Effects of robot-assisted therapy on upper limb recovery after stroke: a systematic review. Neurorehabil. Neural Repair 22, 111–121 (2007)

    Article  Google Scholar 

  4. Della Mea, V.: Internet electronic mail: a tool for low-cost telemedicine. J. Telemed. Telecare 5(2), 84–89 (1999)

    Article  Google Scholar 

  5. Cao, H., Jiang, D., et al.: Context-aware query suggestion by mining click-through and session data. In: Proceedings of SIGKDD, pp. 875–883. ACM (2008)

    Google Scholar 

  6. Banerjee, R., et al.: Noise cleaning and Gaussian modeling of smart phone photoplethysmogram to improve blood pressure estimation. In: ICASSP. IEEE (2015)

    Google Scholar 

  7. Misra, A., Banerjee, R., Choudhury, A.D., Sinha, A., Pal, A.: Novel peak detection to estimate HRV using Smartphone audio. In: BSN. IEEE (2015)

    Google Scholar 

  8. Nasimuddin, A., et al.: Feasibility analysis for estimation of blood pressure and heart rate using a smart eye wear. In: Proceedings of the WearSys 2015, pp. 9–14 (2015)

    Google Scholar 

  9. Reddy, V.R., Deshpande, P., Dasgupta, R.: Robotics audition using kinect. In: Proceedings of ICARA 2015, pp. 34–41. IEEE (2015)

    Google Scholar 

  10. Mukherjee, D., Banerjee, S., Misra, P.: Towards efficient stream reasoning. In: Demey, Y.T., Panetto, H. (eds.) OTM 2013. LNCS, vol. 8186, pp. 735–738. Springer, Heidelberg (2013). doi:10.1007/978-3-642-41033-8_97

    Chapter  Google Scholar 

  11. Banerjee, S., Mukherjee, D.: Windowing mechanisms for web scale stream reasoning. In: Proceedings of Web-KR (CIKM Workshop), San Francisco, USA (2013)

    Google Scholar 

  12. Banerjee, S., Mukherjee, D., Misra, P.: What affects me?’: a smart public alert system based on stream reasoning. In: Proceedings of ACM ICUIMC (2013)

    Google Scholar 

  13. Ukil, A., Bandyopadhyay, S., Sinha, A., Pal, A.: Adaptive sensor data compression in IoT systems: sensor data analytics based approach. In: IEEE ICASSP (2015)

    Google Scholar 

  14. Preston, R.: The hot zone: the terrifying true story of the origins of the Ebola virus. Anchor, Hamburg (2012)

    Google Scholar 

  15. Beyette Jr., F.R., Kost, G.J., Gaydos, C., Weigl, B.H., et al.: Point- of-care technologies for health care. IEEE Trans. Biomed. Eng. 58(3), 732–735 (2011)

    Article  Google Scholar 

  16. Mukherjee, A., Pal, A., Misra, P.: Data analytics in ubiquitous sensor-based health information systems. In: Proceedings of NGMAST. IEEE (2012)

    Google Scholar 

  17. Chuah, M.C., Fu, F.: ECG anomaly detection via time series analysis. In: Thulasiraman, P., He, X., Xu, T.L., Denko, M.K., Thulasiram, R.K., Yang, L.T. (eds.) ISPA 2007. LNCS, vol. 4743, pp. 123–135. Springer, Heidelberg (2007). doi:10.1007/978-3-540-74767-3_14

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Arijit Sinharay .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Sinharay, A. et al. (2016). A Novel Approach to Unify Robotics, Sensors, and Cloud Computing Through IoT for a Smarter Healthcare Solution for Routine Checks and Fighting Epidemics. In: Mandler, B., et al. Internet of Things. IoT Infrastructures. IoT360 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 169. Springer, Cham. https://doi.org/10.1007/978-3-319-47063-4_59

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-47063-4_59

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47062-7

  • Online ISBN: 978-3-319-47063-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics