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Affordable Sensing Based Healthcare

Data-Driven Screening, Diagnosis and Therapy
  • Arpan PalEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10340)

Abstract

In order to move from the current “illness”-driven model to a “wellness”-driven model in healthcare, one needs to build affordable, easily usable and mass deployable solutions. This is particularly true for developing countries like India. In this talk we look at early detection and screening for lifestyle diseases like coronary artery disease (CAD) and diabetes using mobile phones and low-cost attachments to mobile phones followed by signal processing and machine learning based analytics. We also look at creating an affordable tele-home-care based rehabilitation therapy solution for stroke patients using Kinect to help in diagnosis, assessment and therapy compliance. We present results on pilot studies done on patients in India and also on open datasets.

Keywords

Wellness Affordable Lifestyle diseases Screening Therapy Rehabilitation 

Notes

Acknowledgment

I thank all the scientists and researchers working in TCS Research and Innovation in Health Sensing projects – the results of their combined work is presented in this paper. I also thank our doctor consultants for their involvement and support for the medical domain knowledge.

References

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    Dey, S., Biswas, S., Pal, A., Mukherjee, A., Garain, U., Mandana, K.: CAD patient classification using MIMIC-II. In: Giokas, K., Bokor, L., Hopfgartner, F. (eds.) eHealth 360°. LNICST, vol. 181, pp. 370–375. Springer, Cham (2017). doi: 10.1007/978-3-319-49655-9_44 CrossRefGoogle Scholar
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    Banerjee, R., et al.: Time-frequency analysis of phonocardiogram for classifying heart disease. In: Computing in Cardiology (CinC), September 2016Google Scholar
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    Ramu Reddy, V., et al.: PerDMCS: weighted fusion of heart rate variability features for robust and efficient diabetes mellitus classification. In: HealthInf, Portugal, February 2017Google Scholar
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    Sinha, A., et al.: Accurate upper body rehabilitation system using Kinect. In: EMBC, Orlando, USA, August 2016Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.TCS Research and InnovationTata Consultancy Services Ltd.KolkataIndia

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