iSANLA: Intelligent Sensor and Actuator Network for Life science Applications
| Autor: | Michael Schiek, Andreas Schnitzer, Carmen Silex, Hong Ying, Mario Schloesser |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Wireless network
business.industry Computer science Monitoring Ambulatory Parkinson Disease Signal Processing Computer-Assisted Equipment Design Strigiformes Feedback Computer Communication Networks Data acquisition Intelligent sensor Flight Animal Sensor node Electronic engineering Animals Humans Telemetry Wireless business Communications protocol Digital signal processing Computer hardware |
| Zdroj: | 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. |
| DOI: | 10.1109/iembs.2008.4649675 |
| Popis: | In the fields of neurological rehabilitation and neurophysiological research there is a strong need for miniaturized, multi channel, battery driven, wireless networking DAQ systems enabling real-time digital signal processing and feedback experiments. For the scientific investigation on the passive auditory based 3D-orientation of Barn Owls and the scientific research on vegetative locomotor coordination of Parkinson's disease patients during rehabilitation we developed our 'intelligent Sensor and Actuator Network for Life science Application' (iSANLA) system. Implemented on the ultra low power microcontroller MSP430 sample rates up to 96 kHz have been realised for single channel DAQ. The system includes lossless local data storage up to 4 GB. With its outer dimensions of 20mm per rim and less than 15 g of weight including the Lithium-Ion battery our modular designed sensor node is thoroughly capable of up to eight channel recordings with 8 kHz sample rate each and provides sufficient computational power for digital signal processing ready to start our first mobile experiments. For wireless mobility a compact communication protocol based on the IEEE 802.15.4 wireless standard with net data rates up to 141 kbit/s has been implemented. To merge the lossless acquired data of the distributed iNODEs a time synchronization protocol has been developed preserving causality. Hence the necessary time synchronous start of the data acquisition inside a network of multiple sensors with a precision better than the highest sample rate has been realized. |
| Databáze: | OpenAIRE |
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