Literature DB >> 22275203

Analog integrated circuits design for processing physiological signals.

Yan Li1, Carmen C Y Poon, Yuan-Ting Zhang.   

Abstract

Analog integrated circuits (ICs) designed for processing physiological signals are important building blocks of wearable and implantable medical devices used for health monitoring or restoring lost body functions. Due to the nature of physiological signals and the corresponding application scenarios, the ICs designed for these applications should have low power consumption, low cutoff frequency, and low input-referred noise. In this paper, techniques for designing the analog front-end circuits with these three characteristics will be reviewed, including subthreshold circuits, bulk-driven MOSFETs, floating gate MOSFETs, and log-domain circuits to reduce power consumption; methods for designing fully integrated low cutoff frequency circuits; as well as chopper stabilization (CHS) and other techniques that can be used to achieve a high signal-to-noise performance. Novel applications using these techniques will also be discussed.

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Mesh:

Year:  2010        PMID: 22275203     DOI: 10.1109/RBME.2010.2082521

Source DB:  PubMed          Journal:  IEEE Rev Biomed Eng        ISSN: 1937-3333


  2 in total

1.  A CMOS Low Pass Filter for SoC Lock-in-Based Measurement Devices.

Authors:  Jorge Pérez-Bailón; Belén Calvo; Nicolás Medrano
Journal:  Sensors (Basel)       Date:  2019-11-26       Impact factor: 3.576

Review 2.  A Review of Microelectronic Systems and Circuit Techniques for Electrical Neural Recording Aimed at Closed-Loop Epilepsy Control.

Authors:  Reza Ranjandish; Alexandre Schmid
Journal:  Sensors (Basel)       Date:  2020-10-08       Impact factor: 3.576

  2 in total

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