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Jog Falls: A Pervasive Healthcare Platform for Diabetes Management

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Pervasive Computing (Pervasive 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6030))

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Abstract

This paper presents Jog Falls, an end to end system to manage diabetes that blends activity and energy expenditure monitoring, diet-logging, and analysis of health data for patients and physicians. It describes the architectural details, sensing modalities, user interface and the physician’s backend portal. We show that the body wearable sensors accurately estimate the energy expenditure across a varied set of active and sedentary states through the fusion of heart rate and accelerometer data. The GUI ensures continuous engagement with the patient by showing the activity goals, current and past activity states and dietary records along with its nutritional values. The system also provides a comprehensive and unbiased view of the patient’s activity and food intake trends to the physician, hence increasing his/her effectiveness in coaching the patient. We conducted a user study using Jog Falls at Manipal University, a leading medical school in India. The study involved 15 participants, who used the system for 63 days. The results indicate a strong positive correlation between weight reduction and hours of use of the system.

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Author information

Authors and Affiliations

  1. Intel Labs, Future Technology Research, Santa Clara, CA

    Lama Nachman & Junaith Shahabdeen

  2. Intel Labs, Future Technology Research, Bangalore, India

    Amit Baxi, Sangeeta Bhattacharya, Vivek Darera, Piyush Deshpande, Nagaraju Kodalapura, Vincent Mageshkumar & Satish Rath

  3. Kasturba Medical College, Manipal University, Manipal, India

    Raviraja Acharya

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  1. Lama Nachman
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  2. Amit Baxi
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  3. Sangeeta Bhattacharya
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  4. Vivek Darera
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  5. Piyush Deshpande
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  6. Nagaraju Kodalapura
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  7. Vincent Mageshkumar
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  8. Satish Rath
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  9. Junaith Shahabdeen
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  10. Raviraja Acharya
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Editor information

Editors and Affiliations

  1. Helsinki Institute for Information Technology – HIIT, Department of Computer Science,, University of Helsinki, P.O. Box 68, 00014, Finland

    Patrik Floréen

  2. German Research Center for Artificial Intelligence (DFKI), Stuhlsatzenhausweg 3, 66123, Saarbrücken, Germany

    Antonio Krüger

  3. Nokia Research Center, Palo Alto, CA, USA

    Mirjana Spasojevic

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Nachman, L. et al. (2010). Jog Falls: A Pervasive Healthcare Platform for Diabetes Management. In: Floréen, P., Krüger, A., Spasojevic, M. (eds) Pervasive Computing. Pervasive 2010. Lecture Notes in Computer Science, vol 6030. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12654-3_6

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  • DOI: https://doi.org/10.1007/978-3-642-12654-3_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12653-6

  • Online ISBN: 978-3-642-12654-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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