Jog falls: A pervasive healthcare platform for diabetes management

Lama Nachman, Amit Baxi, Sangeeta Bhattacharya, Vivek Darera, Piyush Deshpande, Nagaraju Kodalapura, Vincent Mageshkumar, Satish Rath, Junaith Shahabdeen, Raviraja Acharya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

39 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationPervasive Computing - 8th International Conference, Pervasive 2010, Proceedings
Pages94-111
Number of pages18
Volume6030 LNCS
DOIs
Publication statusPublished - 18-06-2010
Event8th International Conference on Pervasive Computing, Pervasive 2010 - Helsinki, Finland
Duration: 17-05-201020-05-2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6030 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Pervasive Computing, Pervasive 2010
CountryFinland
CityHelsinki
Period17-05-1020-05-10

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Nachman, L., Baxi, A., Bhattacharya, S., Darera, V., Deshpande, P., Kodalapura, N., Mageshkumar, V., Rath, S., Shahabdeen, J., & Acharya, R. (2010). Jog falls: A pervasive healthcare platform for diabetes management. In Pervasive Computing - 8th International Conference, Pervasive 2010, Proceedings (Vol. 6030 LNCS, pp. 94-111). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6030 LNCS). https://doi.org/10.1007/978-3-642-12654-3_6