Abstract
Technology advantages of wireless sensor networks have shown great deal of promises in various biomedical applications. In this paper we introduced a specially-designed body sensor networks (BSN) development platform for on-body physiological measurements and body-proximal wireless data communications. The BSN platform we have developed insofar include BSN node boards, a photoplethysmograph sensor electronics board, a respiratory inductive plethysmograph sensor electronics board, a battery board with a charger IC, a base-station board and several prototyping boards. We have designed the software architecture towards an efficient self-contained baseband protocol to network several BSN modules. Evaluation results from several applications indicated that the complete platform works as intended. Our BSN platform was designed in a low power and stackable manner so that in the future it could be easily extended with more functionality. We believe the BSN platform will greatly facilitate the research and development activities for pervasive healthcare, telemedicine, wearable medical devices and other emerging biomedical engineering fields.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - The 3rd International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2009) |
| DOIs | |
| Publication status | Published - Jun 2009 |
| Externally published | Yes |
| Event | 3rd International Conference on Bioinformatics and Biomedical Engineering, (iCBBE 2009) - Beijing, China Duration: 11 Jun 2009 → 16 Jun 2009 https://ieeexplore.ieee.org/xpl/conhome/5162127/proceeding |
Publication series
| Name | International Conference on Bioinformatics and Biomedical Engineering, iCBBE |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 2151-7614 |
| ISSN (Electronic) | 2151-7622 |
Conference
| Conference | 3rd International Conference on Bioinformatics and Biomedical Engineering, (iCBBE 2009) |
|---|---|
| Place | China |
| City | Beijing |
| Period | 11/06/09 → 16/06/09 |
| Internet address |
Research Keywords
- body sensor networks
- low power
- pervasive healthcare
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