SHIMMER
From Capsil Wiki
SHIMMER [1] is a small sensor platform designed for wearable applications by Intel's Digital Health Group. The platform features an integrated 3-axis accelerometer, large storage (micro SD card), and low-power standards based communication capabilities on the based board. It supports standalone application as such as motion capture. Additional sensing capabilities can be added via extension boards which connect to the base platform via Hirose 20 position connector. The platform is fundamentally a radio agnostic platform supporting both the 802.15.4 and Bluetooth standards in a low-power system architecture.
Contents |
Hardware Specifications
| Sensing: | 3-Axis Accelerometer using Freescale MMA7260Q 1.5/2/4/6g Micropower MEMs Accelerometer into CPU A/D |
|---|---|
| I/O: |
I/O
Expansion
|
| Radios: |
802.15.4 Radio
Class 2 BluetoothTM Radio |
| CPU: |
|
| Storage: | MicroSD slot (Up to 1 GB currently available) |
Application
The goal of SHIMMER is to provide an extremely compact extensible platform for long-term wearable sensing in both connected and disconnected settings using proven system building blocks. The design is realized using conventional module design and assembly technology to ensure repeatability and economy.
Current applications
- The TRIL Centre is currently using SHIMMER to capture kinematic and physiological data during gait analysis.
- Harvard Medical have demonstrated the use of the use of the SHIMMER platform for home monitoring of people with Parkinson's Disease.
Power
- Design target is 10 days while sampling 6 channels at 50Hz w/250mAH battery.
- "Deep Sleep" shelf life is >1 year per battery spec
- Integrated Li-ion battery charger
- Ability to monitor and indicate power status
Software
- SHIMMER firmware is based on TinyOS. Sample code and applications can be found here: http://sourceforge.net/projects/shimmer/
- High level application support is available in the BioMOBIUS software environment.
Additional Information
- SHIMMER Hardware guide
- SHIMMER user pages (Requires subscription)
- SHIMMER is commercially available from Realtime Technologies
Papers
- Baker, Chris R.; Armijo, Kenneth; Belka, Simon; Benhabib, Merwan; Bhargava, Vikas; Burkhart, Nathan; Minassians, Artin Der; Dervisoglu, Gunes; Gutnik, Lilia; Haick, M. Brent; Ho, Christine; Koplow, Mike; Mangold, Jennifer; Robinson, Stefanie; Rosa, Matt; Schwartz, Miclas; Sims, Christo; Stoffregen, Hanns; Waterbury, Andrew; Leland, Eli S.; Pering, Trevor; Wright, Paul K., Wireless Sensor Networks for Home Health Care, Advanced Information Networking and Applications Workshops, 2007, AINAW '07. 21st International Conference on, vol.2, no., pp.832-837, 21-23 May 2007.
- Kevin D. Blanchet. Telemedicine and e-Health. March 1, 2008, 14(2): 127-130. doi:10.1089/tmj.2008.9989.
- Lorincz, K., Kuris, B., Ayer, S. M., Patel, S., Bonato, P., and Welsh, M. 2007. Wearable wireless sensor network to assess clinical status in patients with neurological disorders. In Proceedings of the 6th international Conference on information Processing in Sensor Networks (Cambridge, Massachusetts, USA, April 25 - 27, 2007). IPSN '07. ACM, New York, NY, 563-564.
- Patel, Shyamal; Lorincz, Konrad; Hughes, Richard; Huggins, Nancy; Growdon, John H.; Welsh, Matt; Bonato, Paolo, Analysis of Feature Space for Monitoring Persons with Parkinson's Disease With Application to a Wireless Wearable Sensor System, Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE, pp.6290-6293, 22-26 Aug. 2007.
References
- Back to Sensors Page
- Back to Body Sensor Networks Page
- Back to Main Page
