Health Monitoring Using Wireless Sensor Network: "A Matlab Approach"
Okeke, David Chukwuemeka (2016)
Okeke, David Chukwuemeka
Metropolia Ammattikorkeakoulu
2016
All rights reserved
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2016100514844
https://urn.fi/URN:NBN:fi:amk-2016100514844
Tiivistelmä
A wireless sensor network consists of locally distributed independent sensors to cooperatively monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants. Wireless Body Area Network (WBANs) represents a promising trend in wearable health monitoring systems. WBANs promise to revolutionize health monitoring and offer continuous and omnipresent moving health monitoring at the least level of obtrusiveness, resulting in an increase in user’s quality of life.
The main purpose of this study is to model a wireless sensor network with Simulink (a MATLAB based simulation program) in order to perform the simulations which correspond to the real world body area network. These sensors communicate over the same bands as WiFi channels using Bluetooth, data received from these sensors are used in health monitoring.
The architecture consists of multiple sensor nodes that monitor temperature, blood pressure, humidity, sugar level, and heart activity. These signs are transferred via ZigBee or Bluetooth to a personal server running on a PDA, and later sent to a remote database using WLAN or WWAN.
From the modelling result it is obvious that the behaviour of the system was successfully described using MATLAB Simulink, which provides the ability to change the different system parameters to create new environment, and flexible approach to study the effect of different physical parameters on the performance of WSNs.
The main purpose of this study is to model a wireless sensor network with Simulink (a MATLAB based simulation program) in order to perform the simulations which correspond to the real world body area network. These sensors communicate over the same bands as WiFi channels using Bluetooth, data received from these sensors are used in health monitoring.
The architecture consists of multiple sensor nodes that monitor temperature, blood pressure, humidity, sugar level, and heart activity. These signs are transferred via ZigBee or Bluetooth to a personal server running on a PDA, and later sent to a remote database using WLAN or WWAN.
From the modelling result it is obvious that the behaviour of the system was successfully described using MATLAB Simulink, which provides the ability to change the different system parameters to create new environment, and flexible approach to study the effect of different physical parameters on the performance of WSNs.