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)


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.


Wellness Affordable Lifestyle diseases Screening Therapy Rehabilitation 



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.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

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

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