balance bridge
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Author(s):  
Ahmed Al-Hashimi ◽  
Anis Nurashikin Nordin ◽  
Amelia Wong Azman

This paper presents the design and implementation of a multichannel bio-impedance spectroscopy system on field programmable gate arrays (FPGA). The proposed system is capable of acquiring multiple signals from multiple bio-impedance sensors, process the data on the FPGA and store the final data in the on-board Memory. The system employs the Digital Automatic Balance Bridge (DABB) method to acquire data from biosensors. The DABB measures initial data of a known impedance to extrapolate the value of the impedance for the device under test. This method offers a simpler design because the balancing of the circuit is done digitally in the FPGA rather than using an external circuit. Calculations of the impedance values for the device under test were done in the processor. The final data is sent to an onboard Flash Memory to be stored for later access. The control unit handles the interfacing and the scheduling between these different modules (Processor, Flash Memory) as well as interfacing to multiple Balance Bridge and multiple biosensors. The system has been simulated successfully and has comparable performance to other FPGA based solutions. The system has a robust design that is capable of handling and interfacing input from multiple biosensors. Data processing and storage is also performed with minimal resources on the FPGA.


Author(s):  
Anis Nurashikin Nordin ◽  
Ahmed Al-Hashimi ◽  
Amelia Wong Azman

This paper presents the design and implementation of a multichannel bio-impedance spectroscopy system on field programmable gate arrays (FPGA). The proposed system is capable of acquiring multiple signals from multiple bio-impedance sensors, process the data on the FPGA and store the final data in the on-board Memory. The system employs the Digital Automatic Balance Bridge (DABB) method to acquire data from biosensors. The DABB measures initial data of a known impedance to extrapolate the value of the impedance for the device under test. This method offers a simpler design because the balancing of the circuit is done digitally in the FPGA rather than using an external circuit. Calculations of the impedance values for the device under test were done in the processor. The final data is sent to an onboard Flash Memory to be stored for later access. The control unit handles the interfacing and the scheduling between these different modules (Processor, Flash Memory) as well as interfacing to multiple Balance Bridge and multiple biosensors. The system has been simulated successfully and has comparable performance to other FPGA based solutions. The system has a robust design that is capable of handling and interfacing input from multiple biosensors. Data processing and storage is also performed with minimal resources on the FPGA.


2014 ◽  
Vol 494-495 ◽  
pp. 837-840
Author(s):  
Yong Qiang Wang ◽  
Wei Hong Li

Considering the scattering difference in resistance of the strain gauge which will cause the bridge unbalance, the designers of strain measurement instrument have to add bridge-balance circuit into the design of measuring bridge in order to eliminate the problem of a DC component output caused by the unbalance. Thus, in the design of the bridge-balance circuit, the selection of balance resistances is of great significance. In this paper, through calculation analysis of the balance bridge, we obtained a couple of ideal values of balance resistances and tested them by experiments. In this condition, the experimental results have shown that the circuit has a great ability of regulation equilibrium. In brief, this paper provides the designers an effective method of choosing the balance resistances.


Cryogenics ◽  
1983 ◽  
Vol 23 (5) ◽  
pp. 265-266 ◽  
Author(s):  
M. Suzuki ◽  
H. ōuchi ◽  
T. Anayama

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