EFFICIENT MONITORING OF ELECTRODES-NERVE CONTACTS DURING FNS OF
THE BLADDER
C. Donfack , M. Sawan, Y. Savaria.
Department of
Electrical and Computer Engineering, École Polytechnique de Montréal,
Abstract
Electrodes-nerve
behaviour during functional neurostimulation (FNS) is
a major concern in implantable stimulators. In this paper a fully integrated
electrodes-tissue contact monitoring system is proposed. This system generates
a test current. The voltage across the load which includes two electrode-tissue
contacts is first converted into frequency, this frequency is then converted
into 8-bit data which is serially transmitted to the external controller
through an inductive link. Thus, valuable information pertaining to the state
of electrodes and tissue can be estimated. Voltage Controlled Oscillator(VCO)
and Frequency Estimator are in idle mode during stimulation ensuring low energy
consumption. Each block of circuit have been made fully testable. The proposed
monitoring device has been realised in a 3.3V, 0.35 micron CMOS process and has
been successfully tested. Its entire size including the stimulation current
source is 0.1mm2.
Keywords: bladder stimulators,
electrode-nerve contact, impedance measurement.
I.
Introduction
Sphincters and bladder
contraction and inhibition are controlled by complex mechanisms involving both
central nervous system and peripheral nervous system 1). Electrical
stimulation of the lumbosacral spinal cord, bladder
wall, pelvic nerve and sacral root induce muscular contractions of the detrusor
and aid in initiation of voiding in paraplegic 2) 3). However,
electrodes malfunction often reduce the safety and the reliability of the
stimulation.
Impedance measurement of the
electrode-nerve contact and interelectrode tissues is
an efficient mean for the verification of the state of electrodes and
stimulated tissues owing to his sensitivity
to most commonly encountered anomalies. Impedance measurement is generally
associated with device such as computer, scope or frequency analyser. Using
those device to test implanted electrodes and its contact with the nerve
require percutaneous wire which are not always recommended for implantable stimulators.
Recently, we proposed an FPGA based
first version of a circuit using impedance measurement technique which is
externally controlled through an inductive link 4). In this
paper, a fully integrated version of the circuit is proposed. The
circuit is suitable for long-term requirements and is able to provides at any
time information on the electrodes-nerve contact.
Section II concerning materials and
method presents the electrodes-nerve contact model adopted to test the device,
and the design description which includes impedance to frequency converter and
frequency to 8 bits converter. Section III summarizes the
results, and conclusion is the subject of section IV.
II. MATERIALS AND METHOD
The contact between electrodes and nerve behaves in a
very complex manner. Viewed as electrode-electrolyte interface, it has been
studied by several authors. After a review of existing electrical models of the
electrode-tissue contacts, the simplest one has been chosen in order to
validate our electrode testing approach. A parallel resistance–capacitance
model has been chosen, since with current stimuli, it adequately represents the
voltage induced across real electrode-tissue contacts.
After implantation, electrodes-nerve contact impedance can fall in one of three main ranges: nominal, high and low impedance values. For commonly used electrodes, the nominal impedance value varies from 300W to 3KW. An important point is that impedance variation occurring during first weeks after implantation can be evaluated in order to adjust stimulation parameters.
Monitored impedance over 10kW is
an indication of electrodes or lead wire breakage or simply a disconnection
between electrodes and the nerve due to mechanical problems. However, when
electrodes-nerve contacts exhibit an impedance under 100 Ohms, this can be interpreted as a short circuit of
the electrodes. This short circuit is due either to blood or saline in the
pelvic cavity surrounding the bladder 5) either due to failure in
electrodes and leads insulation or to metal dissolution due to corrosion.
A test current provided by the stimulator is injected into two
electrode-nerve contacts and the nerve. The voltage induced across electrodes
is converted into proportional frequency. This frequency is then converted into
an 8-bit data and serially transmitted to the external controller through a FSK
modulator and an inductive link already presented in another paper 4).
As shown in Fig. 1, transistors driven by signals PS1,
PS2, NS1 and NS2 are active during the stimulation mode to transform a
continuous current into a balanced biphasic current. Two resistive transistors
(driven by signals PSR1 and PSR2) are activated during the impedance
measurement mode in order to reduce the voltage drop contribution of lower switching transistors on the signal at
point X. The voltage VRe is
applied to a VCO. The linear zone of the VCO corresponds to VRe
range during the measurement mode. Also, due to the reactive component of
electrodes-tissue interface, VRe can
present some variations. This effect is reduced by an averaging mechanism of
the frequency estimator. Table I shows the main frequency ranges expected at
the output of the VCO and their typical
meaning.

They simulate two resistances (R and R/2) which allow to drive the VCO with
known voltages R.Itest and (R.Itest)/2, thus calibrating its response. To insure both fidelity of the replica switching circuit and a wide
range for stimulation current, a current source based on a 5 bit-DAC and a wide
swing current mirror has been used. Also, transistors matching of the two
switching circuits has been done.
The versatility of the realised chip is due in part to the performance of its logic controller. This controller can stop the whole system at any moment, control the current direction, choose the impedance measurement mode, or the stimulation mode, and determine the calibration transistors logic state.
The
frequency estimator followed by a parallel to serial converter is presented in
Fig.2. It is composed of two main blocks : an 8-bit counter which counts, in a
fixed duration, the number of clock cycles produced by the VCO and a finite state machine which determines the
fixed counting period.
The parallel to serial converter is based on the classic
scan path technique.
III. Test results
Physical test of the
fabricated chip were conducted with loads based on the electrodes-nerve
electrical model discussed early. Table II summarizes different employed values
of R and C, and VCO output frequency for low impedance measurement results are
shown in Fig.3.

Fig.3 Test results for low impedance
measurement

Fig.4
Tested output data transmission: in top side, Test _CLK is shown, and the bottom side is the serially transmitted
data.
The frequency to data conversion shows a good
accuracy. For input frequency 100 kHz, measurement gives the number 85
(01010110) at its output as shown in Figure 4 which was very close to 84
expected theoretical value. Experimental frequency-impedance curve of the
fabricated chip is presented in Fig.5.
When the signal Test_R
(Fig.1) is not activated, the VCO output frequency is
in mHz range as observed during experimentions ensuring energy saving.
The 5-bit DAC associated to a wide swing cascode current mirror was
shown to deliver its maximal current (1.5mA) to resistive loads with
values up to 1.5 kW
while maintaining acceptable linearity.
IV. Conclusion
We have designed,
fabricated and tested the proposed circuit which allows efficient monitoring of
electrodes-nerve contact
during FNS of the bladder. Based on
an impedance to frequency converter, the circuit is compatible with the
stimulator, harmless, linear and accurate. Also, it occupies a small area of
0.1mm2 and can be set in the
idle mode during the normal stimulation. This monitoring module is quite
efficient and can be implemented in any other stimulator.
ACKNOWLEDGMENTS
The authors would like
to thank the Canadian Microelectronics Corporation (CMC), the Canadian
International Development Agency (CIDA) and the National Science and
Engineering Research Council of Canada
(NSERC) for their support.
References
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