Volume 12 | Issue 3

Co-sponsored by the IEEE Circuits and Systems Society and the IEEE Engineering in Medicine and Biology Society, the Transactions on Biomedical Circuits and Systems (TBioCAS) publishes peer-reviewed manuscripts reporting original and transformative research at the intersection between the life sciences and circuits and systems engineering disciplines. TBioCAS covers the latest state-of-the-art advances as well as critical reviews of emerging directions in circuits and systems with demonstrated biological and/or clinical applications in laboratory and/or clinical settings.

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Editor

Mohamad Sawan
Editor in Chief - 2016 - 2017
Polystim Neurotechnologies Lab
Polytechnique Montreal, EE Department
tbiocas-eic@ieee-cas.org

Dr. Guoxing Wang
Deputy Editor-in-Chief
School of Microelectronics
Shanghai Jiao Tong University
tbiocas-deic@ieee-cas.org

Articles

Presents the table of contents for this issue of the publication.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

The papers in this special section focus on cardiovascular system monitoring and therapy. The number of devices for the measurement and interpretation of biological systems that describe performance of the cardiovascular system is growing. Among others, this is due to the improvement of circuit and system design that renders the devices wearable and easy to use. Moreover, internetworking enables... Read more on IEEE Xplore

In this paper, an end-to-end CMOS application specific integrated circuit (ASIC) for readout channel in a cardiac electrical impedance tomography system is presented. The ASIC consists of an integrated current driver for current injection, an instrumentation amplifier, variable gain amplifier at the analog front end for voltage readout from electrodes, and an on-chip 10-bit successive... Read more on IEEE Xplore

This paper presents an electrocardiogram (ECG) processor on chip for full ECG feature extraction and cardiac autonomic neuropathy (CAN) classification. Full ECG extraction is performed using absolute value curve length transform (A-CLT) for QRS<sub>peak</sub> detection and using low-pass differentiation for other ECG features such as QRS<sub>on</sub>, QRS<sub>off... Read more on IEEE Xplore