Addressable Microstimulator Circuit for Neural Prosthesis
3
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Current state-of-the-art Brain-Machine Interfaces (BMIs) with multi-channel neural interfacing microsystem has been developed as the scale of CMOS process continuously miniatured. Further performance enhancement in BMIs relies on the ability to develop implantable integrated circuit system that would reduce the noise level and the power consumption to operate scalable thousands of channels. In this work, we describe a prototype of distributed wireless microimplants, which provide a high-density network of addressable neural stimulator system with an optical powering method. The proposed circuit built in a standard 0.18μm CMOS process, which include the rectifier, the binary phase-shift keying (BPSK) demodulator, the clock recovery, 9-bits metal fuses and the digital block to discriminate address for each chip. The circuit occupies 211×204 μm2 of silicon area totally, which would be a reasonable size for micro implant. A photovoltaic cell is used to provide efficient power as BPSK modulated signal with the supply voltage 3 V. The designed circuit consumes ~77μW at a data rate of 20 Mbps at 20 MHz carrier frequency.
Abstract
Current state-of-the-art Brain-Machine Interfaces (BMIs) with multi-channel neural interfacing microsystem has been developed as the scale of CMOS process continuously miniatured. Further performance enhancement in BMIs relies on the ability to develop implantable integrated circuit system that would reduce the noise level and the power consumption to operate scalable thousands of channels. In this work, we describe a prototype of distributed wireless microimplants, which provide a high-density network of addressable neural stimulator system with an optical powering method. The proposed circuit built in a standard 0.18μm CMOS process, which include the rectifier, the binary phase-shift keying (BPSK) demodulator, the clock recovery, 9-bits metal fuses and the digital block to discriminate address for each chip. The circuit occupies 211×204 μm2 of silicon area totally, which would be a reasonable size for micro implant. A photovoltaic cell is used to provide efficient power as BPSK modulated signal with the supply voltage 3 V. The designed circuit consumes ~77μW at a data rate of 20 Mbps at 20 MHz carrier frequency.
참고문헌 (13)
- J. Lee, "Wireless Power and Data Link for Ensembles of Sub-mm scale Implantable Sensors near 1GHz", IEEE Biomedical Circuits and Systems Conference (2018)
- V. W. Leung, "A CMOS Distributed Sensor System for High-Density Wireless Neural Implants for Brain-Machine Interfaces", IEEE 44th European Solid State Circuits Conference (ESSCIRC), (2018)
- L. R. Hochberg, "Neuronal ensemble control of prosthetic devices by a human with tetraplegia", Nature, 442, pp.164~171 (2006)
- P. Gao, "A theory of multineuronal dimensionality, dynamics and measurement", bioRxiv, 214262, ~ (2007)
- C. -C. Wang, "A C-less ASK demodulator for implantable neural interfacing chips", Proc. IEEE Int. Symp. Circuits Syst, 4, pp.57~60 (2004)
- Y. -K. Song, "A microscale photovolativ neurostimulator for fiber optic delivery of functional electrical stimulation", J. Neural Eng, 4, pp.213~219 (2007)
- S. Park, "An Implantable Neural Sensing Microsystem with Fiber-Optic Data Transmission and Power Delivery", Sensors, 13, pp.6014~6031 (2013)
- Z. Luo, "A novel BPSK demodulator for biological implants", IEEE Trans. Circ. Syst. -I, 55(6), pp.1478~1484 (2008)
- N. Ghazal, "Ultra-low power BPSK demodulator for bio-implantable chips", IEICE Electronics Express, 7(20), pp.1592~1596 (2010)
- M. Karimi, "A Noncoherent Low-Power High-Data-Rate BPSK Demodulator and Clock Recovery Circuit for Implantable Biomedical Devices", IEEE Biomedical Circuits and Systems Conference (2014)
- F. Asgarian, "A Carrier-Frequency-Independent BPSK Demodulator with 100% Data-Rate-to-Carrier-Frequency Ratio", Proc. of IEEE Biomed. Circ. Syst. Conf, pp.29~32 (2010)
- B. P. Wilkerson, "A low power BPSK demodualtor for wirelessly implantable biomedical devices", Proc. of IEEE Int. Symp. Circ. Syst, pp.626~629 (2013)
- Cogan, S.F., "Neural stimulation and recording electrodes", Annu. Rev. Biomed. Eng, 10, pp.275~309 (2008)