Difference between revisions of "Dp 354 en"

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[[Diplomové práce 2009]]
 
[[Diplomové práce 2009]]
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[[Image:354_dp_en.gif]]
  
 
This diploma thesis deals with wireless sensory network used for monitoring
 
This diploma thesis deals with wireless sensory network used for monitoring
 
the condition of Parkinson disease patients.
 
the condition of Parkinson disease patients.
 +
 
Wireless sensory network is designed as a star topology using Master-Slave
 
Wireless sensory network is designed as a star topology using Master-Slave
 
communication protocol. The network consists of five TelosB platform devices.
 
communication protocol. The network consists of five TelosB platform devices.
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(units). The remaining four slave devices collect data from the auxiliary accelerometer
 
(units). The remaining four slave devices collect data from the auxiliary accelerometer
 
module.
 
module.
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After a study of the TinyOS-2.x environment, TelosB platform and auxiliary
 
After a study of the TinyOS-2.x environment, TelosB platform and auxiliary
 
accelerometer modules, the module's drivers were created. In addition, a communication
 
accelerometer modules, the module's drivers were created. In addition, a communication
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language. The visualization and PC-based data collecting was developed
 
language. The visualization and PC-based data collecting was developed
 
in Java programming language.
 
in Java programming language.
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 +
* '''Markovič''', tel: +420 775 257 602, mailto:e.markovic@seznam.cz

Revision as of 17:29, 5 May 2010

Wireless Sensor Network for Monitoring of a Patients with Parkinson's Disease II.

Author: Markovič Erik

Diplomové práce 2009

354 dp en.gif

This diploma thesis deals with wireless sensory network used for monitoring the condition of Parkinson disease patients.

Wireless sensory network is designed as a star topology using Master-Slave communication protocol. The network consists of five TelosB platform devices. One of the devices acts as the master and collects data from the slave devices (units). The remaining four slave devices collect data from the auxiliary accelerometer module.

After a study of the TinyOS-2.x environment, TelosB platform and auxiliary accelerometer modules, the module's drivers were created. In addition, a communication protocol was designed along with its implementation and visualization. The Linux branch Xubuntu 2.0 with TinyOS was chosen as the operating system (OS). This OS supports TinyOS environment that uses NesC as the programming language. The visualization and PC-based data collecting was developed in Java programming language.