Low-Power Wireless Data Transfer System for Stimulation in an Intracortical Visual Prosthesis
Abstract
:1. Introduction
2. System Considerations
2.1. System Requirements
- Low-power communication: based on power consumption reported in [18,19], the projected power consumption of the implant side of the 1000 electrodes visual prosthesis without wireless interface is on the order of 100 mW. This estimate includes neural recording electronics and the stimulation drivers. Considering the wireless power transfer, and battery constraints at the implant side, it is desired that the wireless system add no more than 10–30% extra power to the power budget at the implant side.
- Data rate: if the stimulation pulses are to be transmitted in raw form, the total number of commands for a stimulation is 4 for a biphasic signal: (1) turn on the cathodal current; (2) turn it off; (3) turn on the anodal current; (4) turn it off. Each electrode needs to be refreshed at a rate of about 200 Hz for physiological reasons [20]. With this approach, the required data rate reaches a few Mbps. The implanted neurostimulation driver will take care of the waveform for stimulation. Only wireless communication to the driver is considered here. Therefore, from a video rate perspective coupled with a de-multiplexing scheme on the implant side, such as reported in [20], the minimum required communication data rate is 200 kbps (20 frames per seconds, 1000 electrodes per frame, and 10 bits per electrode). We aim for the 200 kbps.
- Robustness to interference from power carrier: in the visual prosthesis, the implanted side will be powered wirelessly to reduce battery size constraints. The wireless power that reaches the implant side is of the order of 20 dBm [21], and the received data power can be in the order of −60 dBm. Thus, the power signal can be about 80 dB larger than the data signal. This power ratio may prove to be a challenge, especially when power transfer and communication take place simultaneously and at frequencies close together. Care must be taken that the frequencies are properly spaced to ensure that practical filters can be used without consuming a considerable amount of power.
- Bit error rate: neural scientists desire that in the worst case, only one percent of the phosphene pixels is an error. If each electrode is encoded by 10 bits, then the worst case bit error rate target is . A much better bit error rate is preferred for robustness, the exact value is still unknown.
- Security: with the rise of worldwide security breaches, measures must be taken to avoid hacking and re-writing of the brain. One of such measures could be taken at the physical layer by employing close range communication, which is inherently safer.
2.2. System Approach
- Low frequency <100 MHz: the required downlink data rate is below 10 Mbps. Thus, modulating on carrier frequencies below 100 MHz will provide sufficient bandwidth. In addition, the electric and magnetic field will face minimal attenuation through the skin [22]. Lower frequencies also imply lower power consumption for the digital components.
- Inductive link: to eliminate the bulky antennas that are needed if low frequencies are used, an inductive link is proposed. The inductive link allows for short transmission ranges in the order of centimeters. This fits well with the application of the visual prosthesis, where transmission through a small layer of tissue (skin), at an implantation depth of 3 to 7 mm [23] is sufficient (see also Figure 1c) and security may be a concern.
- Phase shift keying (PSK): has a better theoretical bit error rate performance than other modulation schemes, such as amplitude shift keying (ASK) and frequency shift keying (FSK). Since the PSK modulation scheme is not sensitive to amplitude variations, it can easily cope with misalignment between transmitter and receiver coils, which has mainly effect on the signal amplitudes. Its transmitter is of similar complexity as in ASK. It is also spectrally more efficient than FSK which may require wideband inductive links [9].
- Bandpass sampling: at low frequencies (<100 MHz), the entire modulated signal (carrier and information) can be sampled or simply digitized and processed in the analog or digital domain.
- Non-coherent demodulation: using bandpass sampling at the receiver side, the entire received signal is sampled (digitized). It is possible to recover the information from the digitized received signal using a non-coherent digital technique. This avoids PLLs and allows for the use of low-power ring oscillators which have relatively large phase noise. The poor phase noise of the ring oscillator is not usually tolerated in classical demodulation techniques. Non-coherent analog demodulation for FSK and PSK generally uses envelope detection as part of the core demodulation process, and this has a poorer bit error rate (BER) performance than coherent demodulation [24]. However, this degradation in performance does not apply to the non-coherent digital demodulation proposed here as it does not use envelope detection. To overcome a weakness of our bandpass sampling approach, namely that it requires proper channel design, a coupled inductive link is used, to provide sufficient bandwidth for the channel.
- Differential encoding (optional): by using differential encoding and by matching the data rate to the power carrier frequency, we can improve the robustness to power carrier interference. This is based on the assumption that the power carrier interference is periodic and that each period of the signal will encounter the same interference when differentially encoded [25].
3. System Architecture
3.1. External Transmitter
3.2. Implanted Receiver
3.2.1. The 1-Bit ADC
3.2.2. The Digital Demodulator
3.3. Inductive Link Design
3.4. Reducing Receiver Clock Frequency
4. Experimental Demonstrator
4.1. External Transmitter
4.2. Practical Inductive Link
4.3. Implanted Receiver
5. Results
5.1. Open-Loop Voltage on the Inductive Link
5.2. Inductive Link Response
5.3. System with Inductive Link
5.4. Overall Results
6. Discussion
6.1. Scaling
6.2. Comparison with Other Works
6.3. Tissue and Safety
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
ISM | Industrial, Scientific, and Medical |
IC | Integrated Circuit |
SAR | Specific Absorption Rate |
NESTOR | NEuronal STimulation fOr Recovery of Function |
BPSK | Binary Phase Shift Keying |
PLL | Phase Locked Loop |
FSK | Frequency Shift Keying |
ASK | Amplitude Shift Keying |
BER | Bit Error Rate |
CMOS | Complementary Metal–Oxide–Semiconductor |
SPST | Single Pole Single Throw |
ADC | Analog to Digital Converter |
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12 H Coil [48 mm by 32 mm Ferrite Plate] | ||
Open-loop voltage | k-factor | |
1 layer [2.5 mm] 5 V input @ 1 MHz | 3.30 V | 0.80 |
3 layer [7.5 mm] 5 V input @ 1 MHz | 1.90 V | 0.46 |
10 H Coil [37 mm by 37 mm Ferrite Plate] | ||
Open-loop voltage | k-factor | |
1 layer [2.5 mm] 5 V input @ 1 MHz | 3.30 V | 0.80 |
3 layer [7.5 mm] 5 V input @ 1 MHz | 1.27 V | 0.31 |
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Omisakin, A.; Mestrom, R.M.C.; Bentum, M.J. Low-Power Wireless Data Transfer System for Stimulation in an Intracortical Visual Prosthesis. Sensors 2021, 21, 735. https://doi.org/10.3390/s21030735
Omisakin A, Mestrom RMC, Bentum MJ. Low-Power Wireless Data Transfer System for Stimulation in an Intracortical Visual Prosthesis. Sensors. 2021; 21(3):735. https://doi.org/10.3390/s21030735
Chicago/Turabian StyleOmisakin, Adedayo, Rob M. C. Mestrom, and Mark J. Bentum. 2021. "Low-Power Wireless Data Transfer System for Stimulation in an Intracortical Visual Prosthesis" Sensors 21, no. 3: 735. https://doi.org/10.3390/s21030735
APA StyleOmisakin, A., Mestrom, R. M. C., & Bentum, M. J. (2021). Low-Power Wireless Data Transfer System for Stimulation in an Intracortical Visual Prosthesis. Sensors, 21(3), 735. https://doi.org/10.3390/s21030735