PIERS Proceedings, Marrakesh, MOROCCO, March 20–23, 2011 1598 New Techniques to Reduce the Common-mode Signal in Multi-frequency EIT Applications Mohamad Rahal1 , Ibrahim Rida1 , Muhammad Usman1 , and Andreas Demosthenous2 1 Department of Electrical Engineering, University of Hail P. O. Box 2440, Hail, Saudi Arabia 2 Department of Electronic and Electrical Engineering, University College London London, WC1E 7JE, UK Abstract— Bio-impedance voltage measurements suffer from many potential errors. One of the key errors that affect the accuracy in medical impedance imaging and bio-impedance measurements is the common-mode error. In electrical impedance tomography (EIT) applications, where current is injected into the subject to make the measurements, the major problem is that the interference does not occur at the power supply frequency (50 or 60 Hz) but at the working frequency. Traditional techniques such as filtering or screening have little effect in reducing this common-mode interference. In this paper, we present a common-mode feedback topology which reduces these errors for use in EIT systems (10–200 kHz current injection frequency). A frequency-selective feedback network is described which reduces the common-mode voltage due to electrode impedance mismatch at the input of the differential amplifier. The circuit was designed and implemented in CMOS technology dissipating about 20 mW. Measured results show that the common-mode signal is reduced by 85%, 75%, 70% and 65% at 10 kHz, 50 kHz, 100 kHz and 200 kHz, respectively. 1. INTRODUCTION Electrical Impedance Tomography (EIT) is an imaging technique that estimates the complex conductivities of the interior of an object from measurements made on its surface. In the medical field EIT has the potential for use in various applications such as breast, brain and lung imaging [1]. In particular, EIT has the ability to become a clinical tool for studying regional lung ventilation in particular for neonate applications, which can only be viably assessed through EIT due to the difficulty of applying traditional techniques such as X-ray and MRI. Although EIT suffers from poor resolution compared to traditional imaging techniques; it has advantages compared to these in terms of simplicity, cost, non-invasive, and the absence of ionizing radiation [3]. EIT data are collected via an array of electrodes (multiple electrodes) attached on the surface of the subject where the induced voltages are measured [1]. Fig. 1 shows a typical EIT application where a small alternating current (AC) (< 1 mA) at 50 kHz is commonly injected through one electrode pair and voltages differences are recorded from the remaining electrodes. Then, the current is injected using the next pair of electrodes until all the available electrodes have been switched. The speed of the switching determines the frame rate, with real time imaging requiring frame rates from a few Hz up to 30 Hz. Recent studies have shown that injecting multiple frequencies at the same time will produce better tissue characterization. In addition, injecting multiple frequencies simultaneously reduces the measurement time. The sources of errors in bio-potential recording have been extensively studied in the recording of signals such as the electrocardiogram (ECG) or electromyogram (EMG). In addition, sources of errors in EIT have been discussed in various studies [2, 5, 6]. It was indicated in [5] that the common-mode errors in EIT measurement are due to the changes in stray capacitance and electrode impedance mismatches. Furthermore, the common-mode (CM) voltage is usually higher than the Electrode Current Source @ f1 Human Body Differential Amplifier Output to + demodulator Z? − Figure 1: Simple EIT injection/recording system. Progress In Electromagnetics Research Symposium Proceedings, Marrakesh, Morocco, Mar. 20–23, 2011 1599 differential voltage (DV) at the recording electrodes and since this CM is of the same frequency as the DV, suppression of the CM by the differential amplifier is limited, in particular at high frequencies. Various studies [4, 8] have suggested the use of common-mode feedback (CMFB) to reduce the CM but no measured results are given. In [8], it was shown that using an extra electrode the use of common-mode feedback has the potential to obtain a significant improvement at 10 kHz, although it was suggested a large phase margin is required to guarantee the stability of the feedback system. However, no measured result was presented. In this work, we present an integrated topology for CMFB that is suitable for multi-frequency EIT. After this introductory part, Section 2 describes the theory and the operation of common-mode feedback. Section 3 presents measured results and conclusions are suitable drawn in Section 4. 2. METHODS 2.1. CMFB Figure 2 shows the basic topology for the common mode feedback to suppress the common-mode error due to electrodes mismatches with the feedback path applied to one of the injecting electrodes. According to [8], there are two other alternatives, a) by applying feedback to an extra electrode, but this might change the current distributions, b) by using resistors/capacitors, feedback is applied to both terminals but this might reduce the output impedance. For the topology shown in Fig. 2 the initial CM is higher. In order for the feedback path to support multi frequency, it is desirable for the feedback network to be frequency selective and tunable. Figure 3 shows the basic topology of the feedback network [4]. The CM is multiplied by the I/Q at the locking frequency, then its low-pass filtered. For example if the CM is in phase with the I signal, then the output from the low-pass filtered in the I path will give a maximum DC signal, whereas the output from the Q path will give a minimum. After that the outputs from the low-pass filter stages are then multiplied by the corresponding I/Q signals, then the outputs are summed, amplified and applied to the injecting electrode in a negative feedback loop. For single frequency injection the overall expression for the feedback network can be expressed as: AF B (s) = − 1 1 − jw1 τ + sτ (1) where τ represents the time constant of the low pass filter and w1 is at the locking frequency. The magnitude of the above expression can be expressed as: |AF B (s)| = − s2 τ 2 1 + 2τ s + w12 τ 2 + 1 (2) The frequency response of the feedback network has a sharp peak at the locking frequency (w1 ). A small time constant causes inadequate phase margin (< 60 degrees), which causes ringing in the Electrode I(f n) I(f 1) + ….. Human Body Diff. Amp Differential + ± CM signal − Vfb + + CM signal + Feedback Network @f1 . . . Feedback Network @fn Figure 2: Multi-frequency CMFB to reduce the CM signal. PIERS Proceedings, Marrakesh, MOROCCO, March 20–23, 2011 in-phase signal I VI (f1) X To injecting electrode VCM X VQ (f1) LPF X −k + V FB LPF X 1600 quadrature-phase signal Q Figure 3: Common-mode feedback network. Figure 4: CM signal reduction as a function of the locking frequency for the RC model with different injection frequencies. step response. Large time constant increases the phase margin; however the suppression of the CM will take longer. 3. RESULTS An integrated solution was designed using a 5 V, 0.35-µm CMOS process technology. The simulations and layout were carried out using the Cadence design kit provided by the foundry. The closed loop response network was tested for various input frequencies when the locking frequency of the I/Q signals was varied from 10 kHz to 1MHz and the results is shown in Fig. 4. The output has as a band-reject filter response centred at the locking frequency. The bandwidth of the feedback network is about 250 kHz. The closed loop response was carried out using a realistic RC model of the electrodes [7]. The average reduction over 10 chips at 10 kHz, 50 kHz and 100 kHz were 86%, 63% and 45%, respectively. 4. CONCLUSIONS In this paper, we have presented a practical implementation of a feedback technique to suppress the CM voltage present in EIT measurements. The topology used is frequency-selective and the feedback is applied to one of the injecting electrodes. Experiments were carried out using a RC model of the electrodes to demonstrate the suppression of the CM signal. Future work will concentrate in reducing the time constant of the feedback network in order to support high frame rates, in particular when large common-mode signals are present. ACKNOWLEDGMENT We would like to acknowledge the support of the UK Engineering and Physical Sciences Research Council (EPSRC) under grant numbers EP/E031633/1 and EP/E029426/1. Progress In Electromagnetics Research Symposium Proceedings, Marrakesh, Morocco, Mar. 20–23, 2011 1601 REFERENCES 1. Bayford, R., “Bioimpedance tomography (electrical impedance tomography),” Annu. Rev. Biomed. Eng., Vol. 8, 63–91, 2006. 2. Boone, K. and D. Holder, “Current approaches to analogue instrumentation design in electrical impedance tomography,” Physiol. Meas., Vol. 17, 229–247, 1996. 3. Brown, B., D. Barber, and A. Seagar, “Applied potential tomography: Possible clinical application Clin,” Phys. Physiol. Meas., Vol. 6, 109–121, 1989. 4. Hwang, I., “Common-mode feedback amplifier for biomedical measurements,” Proc. IASTED International Conference Biomedical Engineering, 453–455, 2005. 5. McEwan, A., G. Cuisk, and D. Holder, “A review of errors in multi-frequency EIT instrumentation,” Physiol. Meas., Vol. 28, S197–S215, 2007. 6. Petrova, G., “Influence of electrode impedance changes on the common-mode rejection ratio in bioimpedance measurements,” Physiol. Meas., Vol. 20, N11–N19, 1999. 7. Rahal, M., J. Moy Khor, A. Demosthenous, A. Tizzard, and R. Bayford, “A comparison study of electrodes for neonate electrical impedance tomography,” Physiol. Meas., Vol. 30, 11–14, S73–S84, 2009. 8. Rosell, J. and R Riu, “Common-mode feedback in electrical impedance tomography,” Clin. Phys. Physiol. Meas., Vol. 13, 11–14, 1992.