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A 119dB Dynamic Range Charge Counting Light-to-Digital Converter For Wearable PPG/NIRS Monitoring Applications

Qiuyang Lin, Jiawei Xu, Shuang Song, Arjan Breeschoten, Mario Konijnenburg, Chris Van Hoof, Filip Tavernier, Nick Van Helleputte

2020IEEE Transactions on Biomedical Circuits and Systems71 citationsDOIOpen Access PDF

Abstract

This paper presents a low power, high dynamic range (DR), reconfigurable light-to-digital converter (LDC) for photoplethysmogram (PPG), and near-infrared spectroscopy (NIRS) sensor readouts. The proposed LDC utilizes a current integration and a charge counting operation to directly convert the photocurrent to a digital code, reducing the noise contributors in the system. This LDC consists of a latched comparator, a low-noise current reference, a counter, and a multi-function integrator, which is used in both signal amplification and charge counting based data quantization. Furthermore, a current DAC is used to further increase the DR by canceling the baseline current. The LDC together with LED drivers and auxiliary digital circuitry are implemented in a standard 0.18 μm CMOS process and characterized experimentally. The LDC and LED drivers consume a total power of 196 μW while achieving a maximum 119 dB DR. The charge counting clock, and the pulse repetition frequency of the LED driver can be reconfigured, providing a wide range of power-resolution trade-off. At a minimum power consumption of 87 μW, the LDC still achieves 95 dB DR. The LDC is also validated with on-body PPG and NIRS measurement by using a photodiode (PD) and a silicon photomultiplier (SIPM), respectively.

Topics & Concepts

Dynamic rangeIntegratorSilicon photomultiplierPhotodiodeWide dynamic rangeElectronic engineeringCMOSComparatorPreamplifierNoise (video)Computer scienceElectrical engineeringPhotomultiplierMaterials scienceOptoelectronicsDetectorVoltageAmplifierEngineeringScintillatorImage (mathematics)Artificial intelligenceNon-Invasive Vital Sign MonitoringOptical Imaging and Spectroscopy TechniquesHemodynamic Monitoring and Therapy
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