Name
Abstract | ||
|---|---|---|
Real-time telemonitoring of patient's well-being through various wearable sensors and other electronic accessories holds promise to provide better quality healthcare at lower costs. The design and implementation of telemonitoring applications is however still a cumbersome process as it requires implementation of user interfaces, data acquisition, data storage, and proper security and privacy mechanisms using various APIs. This process requires a high level of experience in software development and design, as well as a certain level of knowledge in the healthcare domain. The multi-disciplinary nature of such applications limits the growth of telemonitoring. In addition, a large number of applications aim to use smartphone-based monitoring, which adds an extra level of complexity due to the fault-prone nature of such systems. In this paper, we describe a general-purpose framework that can be used to easily implement telemonitoring applications on Android-enabled devices. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/CHASE.2016.28 | 2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) |
Keywords | Field | DocType |
mHealth,telemonitoring,chronic health conditions | Data structure,Android (operating system),Wearable computer,Server,mHealth,Fault tolerance,Engineering,User interface,Software development,Embedded system | Conference |
ISBN | Citations | PageRank |
978-1-5090-0944-2 | 0 | 0.34 |
References | Authors | |
4 | 11 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Aranki | 1 | 13 | 2.10 |
| Gregorij Kurillo | 2 | 494 | 34.71 |
| Adarsh Mani | 3 | 0 | 0.34 |
| Phillip Azar | 4 | 0 | 0.68 |
| Jochem Van Gaalen | 5 | 0 | 0.34 |
| Quan Peng | 6 | 0 | 0.34 |
| Priyanka Nigam | 7 | 0 | 0.34 |
| Maya P. Reddy | 8 | 0 | 0.34 |
| Sneha Sankavaram | 9 | 0 | 0.34 |
| Qiyin Wu | 10 | 0 | 0.34 |
| Ruzena Bajcsy | 11 | 3621 | 869.56 |