Proceedings ArticleDOI
A reconfigurable cyclic ADC for biomedical applications
Amandeep Kaur,Deepak Mishra +1 more
- pp 1-4
TLDR
A reconfigurable cyclic ADC that saves readout power and reduces data acquisition rate of analog to digital converter (ADC) and also reduces the digital data content is presented.Abstract:
Bio-signals such as electroencephalogram (EEG) contain low activity regions often called B-noise and high activity regions called active potentials. The high activity regions are more important as compared to their counterpart. In addition, the signals are considerably sparse in the low activity regions. Thus a full n-bit conversion of low activity samples into digital domain increases readout power and reduces data acquisition rate of analog to digital converter (ADC). To alleviate these problems, a reconfigurable cyclic ADC is presented in this paper. Input range and conversion cycles of the proposed ADC are varied according to the samples of the neural signal. The high activity region samples are resolved using conventional n-bits, however, the low activity region is resolved using less number of bits. This saves readout power and also reduces the digital data content. The proposed ADC is designed and fabricated in UMC 180 nm CMOS technology. The ADC operates at a sampling rate of 200 kS/s and consumes 61.8 µW of power. The chip occupies an area of 0.031 mm2. Using reconfiguration, the power saving of 28.6% is achieved compared to the conventional n-bit full conversion.read more
Citations
More filters
Journal ArticleDOI
A low-power column-parallel cyclic ADC for CMOS image sensor with capacitance and current scaling
TL;DR: A power-optimized column-parallel cyclic ADC for CMOS image sensor readout circuits by separating the capacitor and bias current source and floating them in the circuit, which allows the ADC to reduce power consumption while maintaining a constant conversion rate.
Journal ArticleDOI
Progress in Data Acquisition of Wearable Sensors
TL;DR: This paper systematically reviews the recent progress of characteristics, applications, and optimizations of transistor amplifiers and typical filters in signal conditioning, and mainstream analog-to-digital conversion strategies.
References
More filters
Journal ArticleDOI
An Introduction To Compressive Sampling
TL;DR: The theory of compressive sampling, also known as compressed sensing or CS, is surveyed, a novel sensing/sampling paradigm that goes against the common wisdom in data acquisition.
Journal ArticleDOI
Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm
TL;DR: A wavelet electrocardiogram (ECG) data codec based on the set partitioning in hierarchical trees (SPIHT) compression algorithm is proposed and is significantly more efficient in compression and in computation than previously proposed ECG compression schemes.
Journal ArticleDOI
An Implantable 64-Channel Wireless Microsystem for Single-Unit Neural Recording
TL;DR: An implantable microsystem capable of recording neural activity simultaneously on 64 channels, wirelessly transmitting spike occurrences to an external interface, and allows the user to examine the spike waveforms on any channel with 8 bit resolution is reported.
Proceedings ArticleDOI
A 8-bit 500-KS/s low power SAR ADC for bio-medical applications
TL;DR: This paper presents a successive approximation register analog-to-digital converter (SAR ADC) design for bio-medical applications and an energy-saving switching sequence technique is proposed to achieve low power consumption.
Journal ArticleDOI
An Adaptive Resolution Asynchronous ADC Architecture for Data Compression in Energy Constrained Sensing Applications
TL;DR: An adaptive resolution (AR) asynchronous analog-to-digital converter (ADC) architecture is presented that overcomes the trade-off between dynamic range and input bandwidth typically seen in asynchronous ADCs.