Abstract
While smartphone apps for health monitoring and patient support are of great interest to care providers and patients alike, suitable development and evaluation frameworks are currently lacking. We present and evaluate an Android open-source smartphone framework CRNTC+ for sensors data acquisition, signal processing, pattern analysis, interaction and feedback, based on the Context Recognition Network Toolbox (CRNT). CRNTC+ extends the original CRNT by providing components to read smartphone and external sensor data, supporting annotations, and various output components. Here, we formally evaluate CRNTC+ regarding extensibility, scalability, and energy consumption. We present study results where CRNTC+ was deployed in an application to detect epileptic seizures. Results showed that CRNTC+ is well-suited for prototyping health applications in real-life, where online sensor data recording and recognition is needed.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2013 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), 5-8 May 2013, Venice, Italy |
| Place of Publication | Piscataway |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 252-255 |
| ISBN (Print) | 978-1-936968-80-0 |
| Publication status | Published - 2013 |
| Event | 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth 2013) - Venice, Italy Duration: 5 May 2013 → 8 May 2013 http://pervasivehealth.org/2013/show/home |
Conference
| Conference | 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth 2013) |
|---|---|
| Abbreviated title | PervasiveHealth 2013 |
| Country/Territory | Italy |
| City | Venice |
| Period | 5/05/13 → 8/05/13 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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