Design and Implementation of High Power Efficiency Modules for a Cortical Visual Stimulator

 

Sawan M, Coulombe J, Hu Y

 

École Polytechnique de Montréal, 5255 Decelles, Montreal, Quebec, Canada, H3T 2B1

 

Mohamad.Sawan@Polymtl.ca

 


Abstract

We present in this paper custom building blocks for a visual cortical implantable stimulator. Voltages are kept low throughout the power chain, from rectification to stimulation stages, which is possible via dynamic monopolar stimulation. To minimize power losses in regulators, a high efficiency 2/3 switched capacitors DC/DC converter is used, in conjunction with a feedback loop controlling the wirelessly transmitted power. The continuous feedback loop is possible through Phase Shift Keying downlink demodulation, performed by a differential hard-limited Costas loop. Experimental results from integrated circuits are presented.

1. INTRODUCTION

Electrical microstimulation of the visual cortex is a promising approach for providing a number of totally blind subjects with functional vision. Although published results today cannot specify the exact requirements for such a prosthesis, hundreds of electrodes are expected to be required [1], each individually stimulating at rates at or above 100 Hz. High parallelism, and proper data encoding make this goal achievable with today’s technology and know-how, with respect primarily to data throughput at reasonable carrier frequencies (< 20 MHz) [2-3].

On the other hand, no effort shall be minimized for reducing power consumption of such massively parallel stimulators. Prohibitively large power dissipation results in tissue heating and battery drain, to be particularly avoided for practically continuously used devices, as the targeted visual implant.

Different key components of an implant have been designed with power consumption in mind. In this paper, we present the overall architecture of the targeted implant, and describe the main circuits having a direct effect on power efficiency of the device. The main experimental results are presented, before concluding.

2. METHODS

The system being designed by our team consists of an external controller which drives a multi-module implant through an inductive link. The implant is comprised of an interface module for power recovery and data transmission, and several stimulation modules disposed on top of microelectrode arrays penetrating in the primary visual cortex.

Because the location and size of the interface module is not critically constrained, discrete components are used and enable a high efficiency Switched Capacitor (SC) DC/DC converter to reduce power losses in the regulation stage. Efficiency is further enhanced in this stage by a feedback loop controlling the input voltage such that it stays low in varying conditions. For the loop to be stable, a full-duplex data link must be implemented. Constant amplitude downlink (external to internal) modulation is used to enable reliable Load Shift Keying (LSK) uplink (internal to external). Finally, the supply voltage can also be kept low by using dynamic monopolar stimulation, minimizing current path impedance while allowing each stimulation pulse to swing from one rail to the other.

2.1 Power recovery

Power recovery and regulation play a crucial role in the efficiency of the complete implantable system. Although popular mainly for their small size and low noise, linear regulators suffer from poor efficiency when their drop-out voltage is large, such as for REGL in the dual voltage configuration of Figure 1(a), where VL < VH. Drop-out through regulators can be reduced by two approaches using high efficiency DC/DC converters. The first (step-up, b) is to target the rectified voltage, VREC, to be close to the lower regulated voltage, then convert it to a value slightly above VH. The second (step-down, c) is to convert a VREC slightly above VH to a voltage close to VL.

Figure 1: Dual voltage regulation schemes.

To compare the step-up and step-down efficiencies, one must not only consider the power losses in the regulation stage and its load, but also importantly in the rectifying circuit, determined by the implant total input current, Iin. The latter can be approximated for the three configurations of Figure 1 by:

Linear Regulators only : Iin = IL + IH

(1)

Lin. Regs w DC/DC step-up : Iin = IL + k/h IH

(2)

Lin. Regs w DC/DC step-dn : Iin = k/h IL + IH

(3)

where k and h are the DC/DC converter Vout/Vin, and efficiency, respectively. From this, one can see that not only step-down reduces drop-out of one linear regulator given that k < h, but also reduces the input current (k < 1), hence reducing the power dissipated in the rectifying element. Input current is instead increased in the case of the step-up configuration (k > 1). This further adversely affects the performance of the system when IH is larger than IL, which is typically the case for a large electrode-count stimulator, where VH is used for stimulation, and VL for control circuitry.

The proposed regulation scheme therefore employs a step-down Switched Capacitor (SC) DC/DC converter and two Low Drop-Out (LDO) linear regulators, as shown in Figure 2.

Figure 2: VH and VL regulation with step-down SC DC/DC conversion of the rectified input.

The linear regulators employ N-type pass devices (M1, M2) for lower resistivity and higher stability than their P-type counterpart. The use of a native M1 transistor (Vth < 0), results in low drop-out capability without the need for boosting the output of Amp1.

Note that stability of the output voltages is closely related to that of VREF, so supplying the bandgap circuit with a regulated supply is preferred over the rectified input. This requires, however, a power up circuit ensuring that the circuit exits the stable state where VH = VL = 0 V. For this reason, we include an analog multiplexer that feeds the bandgap reference directly with VREC until VH has reached a threshold ensuring proper function of the regulator.

The key for high efficiency resides in controlling accurately the emitted power such that VREC is as close as possible to a target voltage only slightly above VH. This is achieved through a negative feedback to the external power amplifier provided by a sigma-delta Analog to Digital Converter (ADC) sampling continuously VREC, as shown in Figure 3. According to the sampled value of VREC, the supply voltage of the external class E power amplifier is modulated via a digitally controlled switching regulator.

Figure 3: Transcutaneously emitted power control loop.

2.2 Data transmission

The regulation system presented above requires a full-duplex communication link for its feedback loop. With a conventional uplink using LSK, and assuming a single inductive coil is used for power and bi-directional data, this can only be reliably achieved using constant amplitude modulation for the downlink. For best efficiency of the inductive link, a tuned resonant receiver having a high Q factor is desirable, hence PSK is our preferred implementation over FSK, which requires ultra wideband modulation because of the high data rate/carrier frequency ratio needed in the case of a visual stimulator.

Conventional PSK demodulators regularly include analog or digital Costas Loops, the latter using digital multiplication, filtering, phase shifting and digitally controlled Phase Locked Loop (PLL). For reducing complexity and power consumption, we propose a hard-limited Costas loop detailed in [4].

2.3 Stimulation

The larger part of the power consumed by an implant having a large number of electrodes resides in its stimulation output stage. It is then mandatory to use the lowest voltage possible, while avoiding clipping the stimulation pulses, which would result in imbalanced phases and ultimately in tissue damage.

Monopolar stimulation is used to reduce the impedance of the stimulation current path compared with a bipolar approach. A dynamically controlled return current electrode voltage provides the output stage with the full supply voltage for each stimulation pulse [5]. Hence both lowest impedance and highest voltage swing at a given supply voltage are obtained. The voltage of the large size return current electrode, located on the Interface Module, can be either digitally controlled, or via a negative feedback driven by an appropriately chosen stimulation site or a predefined reference path.

3. RESULTS

The main building blocks of the implant have been implemented in standard CMOS 0.18 mm technology and successfully tested. Supply voltages are VH = 3.3 V, VL = 1.8 V, while DC/DC conversion is set to 2/3 using 3 discrete 300 nF capacitors. The SC DC/DC converter efficiency was measured to be greater than 89% when VREC > 2.5 V and ILoad = 5 mA, with a switching frequency of 500 kHz. The external power amplifier control loop was implemented and measurement results seen in Figure 4 show that amplitude of the received carrier is maintained constant under loads of 5, 10 and 15 mA. To date, simulations have indicated that the achievable data rate of the proposed BPSK demodulator is 1.12 Mbps with a 13.56 MHz carrier, and power consumption is only 500 mW. Finally, Table I compares  the maximum current allowed before clipping occurs during bipolar pulses of similar duration (approx. 100 μs) in physiological solution to conventional monopolar and bipolar approaches.

Table I

Max Charge/Phase For 100ms Time Limited Pulses

 

Bipol.

Monopol.

Dyn. Mono.

I Max (μA)

17.5

26.5

70

Q/phMax (pC)

1 750

2 703

6 370

 

a)

b)

Figure 4: VREC voltage (lower trace) during 5, 10 and 15 mA load current steps (higher trace) (a) without and (b) with power amplifier control loop. VREC sampling freq. = 10 kSps, target VREC  = 3.7 V.

 

4. CONCLUSION

In an effort to make a future visual cortical prosthesis really safe and practical, building blocks maximizing power efficiency by keeping voltages and impedances low in its main current paths are proposed. This is achieved in part by dynamic control of the transmitted power through a full-duplex data link. Additionally, a high efficiency step-down DC/DC converter is used where power would be dissipated in a significant voltage drop otherwise.

References

[1] Cha K, Horch K, Normann RA. Simulation of a phosphene based visual field: visual acuity in a pixelized vision system. Ann. Biomed. Eng. 20:4, 439–449, 1992.

[2] Coulombe J, Gervais JF, Sawan M. A Cortical Stimulator With Monitoring Capabilities Using a Novel 1 Mbps ASK Data Link. ISCAS, Sydney Australia, 2004.

[3] Ghovanloo M, Najafi K. A Modular 32-site wireless neural stimulation microsystem. IEEE JSSC, 39:12, 2457 – 2466, 2004.

[4] Hu Y, Sawan M. A Fully-Integrated Low-Power BPSK Wireless Inductive Link for Implantable Medical Devices. MWSCAS, Hiroshima Japan, 2004.

[5] Coulombe J, Carniguian S, Sawan M. A Power Efficient Electronic Implant for a Visual Prosthesis. Artif. Organs, 29:3, 233-238, 2005.

 

Acknowledgements

The authors thank the CMC for fabrication support, as well as the NSERC of Canada and Institut Nazareth et Louis Braille for financial support.