Design of a reconfigurable, modular and multi-channel bioimpedance spectroscopy system
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 i...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Institute of Advanced Science Extension (IASE)
2017
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/60007/ http://irep.iium.edu.my/60007/ http://irep.iium.edu.my/60007/ http://irep.iium.edu.my/60007/1/10056-12426-1-PB.pdf http://irep.iium.edu.my/60007/7/Design%20of%20a%20reconfigurable%2Cmodular%20and%20multi-channel%20bioimpedance%20spectroscopy%20system.pdf |
| Summary: | 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. |
|---|