| Autor: |
Nishat T. Tasneem, Dipon K. Biswas, Sakib Reza, Ifana Mahbub |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
IEEE Access, Vol 11, Pp 109294-109306 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2023.3321796 |
| Popis: |
Monitoring electrical activity from numerous neurons with the help of a high-channel count neural recording system is crucial for the state-of-the-art approaches in neuroscience research and clinical treatment. The performance trade-offs such as channel count, total power consumption, noise, area, and robustness need to be optimized for compatibility in neural signal acquisition system. This work proposes an implantable 32-channel neural signal acquisition system-on-chip (SoC), which includes 32 neural amplifiers, an analog multiplexer (MUX), an analog-to-digital converter (ADC), and an impulse radio ultra-wide band (IR-UWB) transmitter designed using 180 nm CMOS process. The neural amplifier allows to detect local field potentials (LFP) and action potentials (AP) separately in a programmable gain-bandwidth setup. It achieves 48 dB gain within the 0.2–345 Hz for LFPs and a gain of 59.7-dB within the 310–20.7-kHz frequency range for APs. A 10 bit SAR-ADC is designed with reconfigurable sampling rate of 10–40-kSps achieving an FOM (Figure-of-Merit) of 629-fJ/step. The designed IR-UWB transmitter can transmit data at 100-Mbps data rate with an energy efficiency of 12.5-pJ/pulse. The proposed system shows a promising reconfigurable multi-channel neural signal recording paradigm for neuroscience research and Brain Machine Interfaces (BMIs) applications. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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