Neural Monitoring With CMOS Image Sensors

Authors

  • Azar Yadegari Department of Electrical Engineering, School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran.
  • Mohammad Azim Karami Department of Electrical Engineering, School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran.
  • Mohammad Reza Daliri Department of Electrical Engineering, School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran.
Abstract:

Implantable image sensors have several biomedical applications due to their miniature size, light weight, and low power consumption achieved through sub-micron standard CMOS (Complementary Metal Oxide Semiconductor) technologies. The main applications are in specific cell labeling, neural activity detection, and biomedical imaging. In this paper the recent research studies on implantable CMOS image sensors for neural activity monitoring of brain are being quantified and reviewed. Based on the results, the suitable implantable image sensors for brain neural monitoring should have high signal to noise ratio of above 60 dB, high dynamic range  of near 88 dB and low power consumption than the safety threshold of 4W/cm2. Moreover, it is found out that the next generation of implantable imaging device trend should reduce the pixel size and power consumption of CMOS image sensors to increase spatial resolution of sample images.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Cmos Image Sensors with Compressive Sensing Acquisition

The compressive sensing (CS) paradigm provides an efficient image acquisition technique through simultaneous sensing and compression. Since the imaging philosophy in CS imagers is different from conventional imaging systems, new physical structures are required to design cameras suitable for CS imaging. While this work is focused on the hardware implementation of CS encoding for CMOS sensors, t...

full text

Topics on CMOS Image Sensors

Today there exist several applications where a real visible scene needs to be sampled to electrical signals, e.g., video cameras, digital still cameras, and machine vision systems. Since the 1970’s charge-coupled device (CCD) sensors have primarily been used for this task, but during the last decade CMOS image sensors have become more and more popular. The demand for image sensors has lately gr...

full text

Photoresponse of CMOS Image Sensors

ii I hereby declare that I am the sole author of this thesis. I authorize the University of Waterloo to lend this thesis to other institutions or individuals for the purpose of scholarly research Signature I further authorize the University of Waterloo to reproduce this thesis by photocopying or by other means, in total or in part, at the request of other institutions or individuals for the pur...

full text

Review of CMOS image sensors

The role of CMOS Image Sensors since their birth around the 1960s, has been changing a lot. Unlike the past, current CMOS Image Sensors are becoming competitive with regard to Charged Couple Device (CCD) technology. They offer many advantages with respect to CCD, such as lower power consumption, lower voltage operation, on-chip functionality and lower cost. Nevertheless, they are still too nois...

full text

High Speed CMOS Image Sensors

This paper gives an overview of high speed CMOS image sensor types and markets in which these can be used. The sensors presented in this paper are sensors designed for use in a general purpose, high end or custom high speed cameras. Such cameras can be used for applications like scientific research, crash tests, high speed scanning, machine vision and military research; all requiring high frame...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 9  issue 3

pages  227- 235

publication date 2018-05

By following a journal you will be notified via email when a new issue of this journal is published.

Keywords

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023