An adaptive continuous‐time incremental Σ∆ ADC for neural recording implants. (22nd November 2018)
- Record Type:
- Journal Article
- Title:
- An adaptive continuous‐time incremental Σ∆ ADC for neural recording implants. (22nd November 2018)
- Main Title:
- An adaptive continuous‐time incremental Σ∆ ADC for neural recording implants
- Authors:
- Barati, Saeid
Yavari, Mohammad - Abstract:
- Summary: In this paper, an analog‐to‐digital converter (ADC) with adaptive resolution is presented for wireless neural recording implants. The resolution of the ADC is changed according to the neural signal content, and for this purpose, a continuous‐time (CT) incremental sigma‐delta (IΣ∆) modulator is employed. The ADC digitizes the action potential (AP) and background noise (B‐noise) with 8‐bit and 3‐bit resolutions, respectively. An automatic AP detector is used to separate the APs from the B‐noise in order to select one of the two proportional resolutions. The power dissipation and output data rate of the ADC are reduced by using this technique. Analytical calculations and behavioral simulation results are provided to evaluate the performance of the proposed ADC. To further confirm its efficiency, the circuit‐level implementation of the CT IΣ∆ ADC is presented in Taiwan Semiconductor Manufacturing Company (TSMC) 90‐nm complementary metal‐oxide semiconductor (CMOS) process. According to the simulation results, the proposed ADC achieves 8‐bit or 3‐bit resolution adaptively with 10 kHz bandwidth while the average power consumption is less than 1.89 μW from a single 1‐V power supply. Abstract : This paper presents an adaptive resolution analog‐to‐digital converter (ADC) for wireless neural recording implants. It employs a continuous‐time incremental sigma‐delta (IΣ∆) modulator with resolution corresponding to the neural signal content. The proposed ADC digitizes the actionSummary: In this paper, an analog‐to‐digital converter (ADC) with adaptive resolution is presented for wireless neural recording implants. The resolution of the ADC is changed according to the neural signal content, and for this purpose, a continuous‐time (CT) incremental sigma‐delta (IΣ∆) modulator is employed. The ADC digitizes the action potential (AP) and background noise (B‐noise) with 8‐bit and 3‐bit resolutions, respectively. An automatic AP detector is used to separate the APs from the B‐noise in order to select one of the two proportional resolutions. The power dissipation and output data rate of the ADC are reduced by using this technique. Analytical calculations and behavioral simulation results are provided to evaluate the performance of the proposed ADC. To further confirm its efficiency, the circuit‐level implementation of the CT IΣ∆ ADC is presented in Taiwan Semiconductor Manufacturing Company (TSMC) 90‐nm complementary metal‐oxide semiconductor (CMOS) process. According to the simulation results, the proposed ADC achieves 8‐bit or 3‐bit resolution adaptively with 10 kHz bandwidth while the average power consumption is less than 1.89 μW from a single 1‐V power supply. Abstract : This paper presents an adaptive resolution analog‐to‐digital converter (ADC) for wireless neural recording implants. It employs a continuous‐time incremental sigma‐delta (IΣ∆) modulator with resolution corresponding to the neural signal content. The proposed ADC digitizes the action potential and background noise (B‐noise) with 8‐bit and 3‐bit resolutions, respectively. The power and data rate are reduced significantly because the neural signal contains the B‐Noise in the most of the time, and the ADC mostly operates in the 3‐bit resolution mode. … (more)
- Is Part Of:
- International journal of circuit theory and applications. Volume 47:Number 2(2019)
- Journal:
- International journal of circuit theory and applications
- Issue:
- Volume 47:Number 2(2019)
- Issue Display:
- Volume 47, Issue 2 (2019)
- Year:
- 2019
- Volume:
- 47
- Issue:
- 2
- Issue Sort Value:
- 2019-0047-0002-0000
- Page Start:
- 187
- Page End:
- 203
- Publication Date:
- 2018-11-22
- Subjects:
- action potential detection -- adaptive resolution -- analog‐to‐digital converters -- continuous‐time incremental Σ∆ modulators -- neural recording systems -- root mean square -- threshold level
Electric circuit analysis -- Periodicals
621.319205 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/cta.2585 ↗
- Languages:
- English
- ISSNs:
- 0098-9886
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.167000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 9494.xml