Jog Falls: A Pervasive Healthcare Platform for Diabetes Management
| Autor: | Junaith Ahemed Shahabdeen, Lama Nachman, Satish Prasad Rath, Amit S. Baxi, Piyush Deshpande, Sangeeta Bhattacharya, Raviraja V Acharya, Vincent S. Mageshkumar, Kodalapura Nagaraju N, Vivek N. Darera |
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| Rok vydání: | 2010 |
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| Zdroj: | Lecture Notes in Computer Science ISBN: 9783642126536 Pervasive |
| DOI: | 10.1007/978-3-642-12654-3_6 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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