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Reconfigurable SS/SAR ADC applied to biological neural signal processing

A technology of neural signals and signals, applied in biological neural network models, physical implementation, signal transmission systems, etc., can solve problems such as wasting power consumption, achieve the effect of reducing power consumption and retaining integrity

Active Publication Date: 2019-09-03
XIDIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, since the AP signal is sparse in the time domain, the traditional ADC will waste a lot of power consumption in some useless signals due to the complete processing of the neural signal in the entire time domain.

Method used

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  • Reconfigurable SS/SAR ADC applied to biological neural signal processing
  • Reconfigurable SS/SAR ADC applied to biological neural signal processing
  • Reconfigurable SS/SAR ADC applied to biological neural signal processing

Examples

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Embodiment 1

[0039] See figure 1 , figure 1 It is a schematic structural diagram of a reconfigurable SS / SAR ADC applied to biological nerve signal processing provided by an embodiment of the present invention;

[0040] A reconfigurable SS / SAR ADC applied to biological nerve signal processing provided by the present invention includes: a reconstruction unit 1, an AP detector 2, a ramp generator 3, a multi-input comparator 4, a SAR logic unit 5 and a counter 6 .

[0041] A reconfigurable SS / SAR ADC applied to biological nerve signal processing provided by the present invention has two working modes, which are normal mode and compressed mode. The following first takes the normal mode as an example to describe in detail.

[0042]When the normal mode is selected, the reconstruction unit is used as a DAC, the AP detector, ramp generator and counter do not work, the multi-input comparator and the SAR logic unit work, and the SS / SAR ADC is used as a SAR ADC (successive approximation register AD...

Embodiment 2

[0054] The compression mode is taken as an example to describe in detail below.

[0055] When the compression mode is selected, the reconstruction unit is used as A-FIFO (First Input First Output, first-in-first-out), the SAR logic unit does not work, the AP detector, ramp generator, multi-input comparator and counter work, SS / SARADC It is used as SS ADC (single-slope ADC, single-slope ADC).

[0056] In this embodiment, the structure of the reconstruction unit is equivalent to an A-FIFO capacitor array, please refer to Figure 5 , Figure 5 It is a schematic diagram of the equivalent structure of the reconstruction unit in the compression mode provided by the embodiment of the present invention. In compression mode, the capacitor bank C 0 ~C 6 combined as a unit capacitance of an A-FIFO (C A-FIFO )use. C 7 ~C 20 each as 1 C A-FIFO use. exist Figure 5 Medium, C 1A-FIFO to C 16A-FIFO Both are unit capacitance C A-FIFO , the lower plates of all capacitors are groun...

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Abstract

The invention discloses a reconfigurable SAR / SS ADC applied to biological neural signal processing. The reconfigurable SAR / SS ADC comprises a reconstruction unit (1), an AP detector (2), a slope generator (3), a multi-input comparator (4), an SAR logic unit (5) and a counter (6). According to the reconfigurable SS / SAR ADC provided by the invention, the reconfigurable SS / SAR ADC can be used as an SS ADC in a compression mode, an input signal is quantized only when an AP signal arrives, the integrity of the AP signal can be kept, and the power consumption of a circuit is reduced; the device canbe used as an SAR ADC in a common mode, the shape of a signal curve can be accurately recorded, and further neuroscience research is facilitated.

Description

technical field [0001] The invention belongs to the field of integrated circuits, and in particular relates to a reconfigurable SS / SAR ADC applied to biological nerve signal processing. Background technique [0002] In recent years, the analog front-end technology for acquiring neural signals has developed rapidly, and a high-efficiency analog-to-digital converter (ADC) is an indispensable key module in the neural recording interface. Due to its low-frequency (below 10kHz) and weak (below 3mV) characteristics, neural signals are extremely susceptible to external interference, which makes it very difficult to read data accurately. On the other hand, people's desire for great life convenience brought by portable wearable wireless devices is increasing day by day. [0003] At present, for neural signal acquisition systems, it is generally hoped that high-quality neural signal activities can be recorded on the premise of maintaining low power consumption. Neural signals often ...

Claims

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Application Information

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IPC IPC(8): H03M1/46H03M1/12G06N3/063G06F5/06
CPCH03M1/466H03M1/1245G06F5/06G06N3/065
Inventor 朱樟明华羽峰王静宇刘术彬
Owner XIDIAN UNIV
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