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A Reconfigurable, Nonlinear, Low-Power, VCO-Based ADC for Neural Recording Applications.
Sensors (Basel)
September 2024
Dipartimento di Ingegneria Navale, Elettrica, Elettronica e delle Telecomunicazioni (DITEN), University of Genoa, 16145 Genoa, Italy.
Neural recording systems play a crucial role in comprehending the intricacies of the brain and advancing treatments for neurological disorders. Within these systems, the analog-to-digital converter (ADC) serves as a fundamental component, converting the electrical signals from the brain into digital data that can be further processed and analyzed by computing units. This research introduces a novel nonlinear ADC designed specifically for spike sorting in biomedical applications.
View Article and Find Full Text PDFContinuous-time asynchronous data converters namely, analog-to-digital converters and analog-to-time converters, can be beneficial for certain types of applications, such as, processing of biological signals with sparse information. A particular case of these converters is the integrate-and-fire converter (IFC) that is inspired by the neural system. If it is possible to develop a standard-cell-based (SCB) IFC circuit to perform well in advanced technology nodes, it will benefit from the simplicity of SCB circuit designs and can be implemented in widely available field-programmable gate arrays (FPGAs).
View Article and Find Full Text PDFA 10-Channel, 120 nW/Channel, Reconfigurable Capacitance-to-Digital Converter for Sub- μW Robust Wearable Sensing.
IEEE Trans Biomed Circuits Syst
August 2024
This paper presents a 10-channel, 120 nW/channel, reconfigurable capacitance-to-digital converter (CDC) enabling sub- μW wearable sensing applications. The proposed multi-channel architecture supports 10 channels with a shared reconfigurable 6-bit differential analog-to-digital converter (ADC). The reconfigurable nature of the CDC enables adaptive sensing range and sensing speed based on the target application.
View Article and Find Full Text PDFIntan Technologies integrated circuits can produce analog-to-digital conversion artifacts that affect neural signal acquisition.
J Neural Eng
July 2024
Department of Biomedical Engineering, Duke University, Durham, NC, United States of America.
Intan Technologies' integrated circuits (ICs) are valuable tools for neurophysiological data acquisition, providing signal amplification, filtering, and digitization from many channels (up to 64 channels/chip) at high sampling rates (up to 30 kSPS) within a compact package (⩽9× 7 mm). However, we found that the analog-to-digital converters (ADCs) in the Intan RHD2000 series ICs can produce artifacts in recorded signals. Here, we examine the effects of these ADC artifacts on neural signal quality and describe a method to detect them in recorded data.
View Article and Find Full Text PDFIntra-Beam Interference Mitigation for the Downlink Transmission of the RIS-Assisted Hybrid Millimeter Wave System.
Entropy (Basel)
March 2024
School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Article Synopsis
- * This study presents a new strategy using analog beamforming with reconfigurable intelligent surfaces (RIS) to enhance interference mitigation in downlink transmissions of hybrid analog-digital mmWave systems.
- * The researchers provide formulas for assessing performance rates and demonstrate that their method, which employs low-resolution converters, is energy-efficient and superior to other existing methods based on simulation results.
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