Digital Signal Processing by Virtual Instrumentation of a MEMS Magnetic Field Sensor for Biomedical Applications

Abstract

We present a signal processing system with virtual instrumentation of a MEMS sensor to detect magnetic flux density for biomedical applications. This system consists of a magnetic field sensor, electronic components implemented on a printed circuit board (PCB), a data acquisition (DAQ) card, and a virtual instrument. It allows the development of a semi-portable prototype with the capacity to filter small electromagnetic interference signals through digital signal processing. The virtual instrument includes an algorithm to implement different configurations of infinite impulse response (IIR) filters. The PCB contains a precision instrumentation amplifier, a demodulator, a low-pass filter (LPF) and a buffer with operational amplifier. The proposed prototype is used for real-time non-invasive monitoring of magnetic flux density in the thoracic cage of rats. The response of the rat respiratory magnetogram displays a similar behavior as the rat electromyogram (EMG).

DOI: 10.3390/s131115068

Extracted Key Phrases

11 Figures and Tables

Cite this paper

@inproceedings{JurezAguirre2013DigitalSP, title={Digital Signal Processing by Virtual Instrumentation of a MEMS Magnetic Field Sensor for Biomedical Applications}, author={Ra{\'u}l Ju{\'a}rez-Aguirre and Sa{\'u}l M. Dom{\'i}nguez-Nicol{\'a}s and El{\'i}as Manjarrez and Jes{\'u}s A. Tapia and Eduard Figueras and H{\'e}ctor V{\'a}zquez-Leal and Luz Antonio Aguilera-Cort{\'e}s and Agust{\'i}n Leobardo Herrera-May}, booktitle={Sensors}, year={2013} }