By Topic

Biomedical Circuits and Systems, IEEE Transactions on

Issue 3 • Date June 2009

Filter Results

Displaying Results 1 - 14 of 14
  • Table of contents

    Publication Year: 2009 , Page(s): C1
    Save to Project icon | Request Permissions | PDF file iconPDF (83 KB)  
    Freely Available from IEEE
  • IEEE Transactions on Biomedical Circuits and Systems publication information

    Publication Year: 2009 , Page(s): C2
    Save to Project icon | Request Permissions | PDF file iconPDF (39 KB)  
    Freely Available from IEEE
  • A Mixed-Signal Multichip Neural Recording Interface With Bandwidth Reduction

    Publication Year: 2009 , Page(s): 129 - 141
    Cited by:  Papers (51)  |  Patents (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2920 KB) |  | HTML iconHTML  

    We present a multichip structure assembled with a medical-grade stainless-steel microelectrode array intended for neural recordings from multiple channels. The design features a mixed-signal integrated circuit (IC) that handles conditioning, digitization, and time-division multiplexing of neural signals, and a digital IC that provides control, bandwidth reduction, and data communications for telemetry toward a remote host. Bandwidth reduction is achieved through action potential detection and complete capture of waveforms by means of onchip data buffering. The adopted architecture uses high parallelism and low-power building blocks for safety and long-term implantability. Both ICs are fabricated in a CMOS 0.18-mum process and are subsequently mounted on the base of the microelectrode array. The chips are stacked according to a vertical integration approach for better compactness. The presented device integrates 16 channels, and is scalable to hundreds of recording channels. Its performance was validated on a testbench with synthetic neural signals. The proposed interface presents a power consumption of 138 muW per channel, a size of 2.30 mm2, and achieves a bandwidth reduction factor of up to 48 with typical recordings. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Peptide Mass Fingerprinting Using Field-Programmable Gate Arrays

    Publication Year: 2009 , Page(s): 142 - 149
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (388 KB) |  | HTML iconHTML  

    The reconfigurable computing paradigm, which exploits the flexibility and versatility of field-programmable gate arrays (FPGAs), has emerged as a powerful solution for speeding up time-critical algorithms. This paper describes a reconfigurable computing solution for processing raw mass spectrometric data generated by MALDI-TOF instruments. The hardware-implemented algorithms for denoising, baseline correction, peak identification, and deisotoping, running on a Xilinx Virtex-2 FPGA at 180 MHz, generate a mass fingerprint that is over 100 times faster than an equivalent algorithm written in C, running on a Dual 3-GHz Xeon server. The results obtained using the FPGA implementation are virtually identical to those generated by a commercial software package MassLynx. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Factor Graph-Based Biomolecular Circuit Analysis for Designing Forward Error Correcting Biosensors

    Publication Year: 2009 , Page(s): 150 - 159
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1099 KB) |  | HTML iconHTML  

    We previously reported the fabrication and the verification of novel biomolecular transistors where electrical conductivity of a ldquopolyaniline nanowiresrdquo channel is controlled by antigen-antibody interactions. In this paper, we present a simulation framework for analyzing the reliability of biosensor circuits constructed by using these biomolecular transistors. At the core of the proposed framework is a library of electrical circuit models that capture the stochastic interaction between biomolecules and their variability to environmental conditions and experimental protocols. Reliability analysis is then performed by exploiting probabilistic dependencies between multiple circuit elements by using a factor graph-based decoding technique. The proposed computational approach facilitates rapid evaluation of forward error correction (FEC) strategies for biosensors without resorting to painstaking and time-consuming experimental procedures. The analysis presented in this paper shows that an asymmetric FEC biosensor code outperforms a repetition FEC biosensor code which has been proposed for microarray technology. In addition, we also show that the proposed analysis leads to a novel ldquoco-detectionrdquo protocol that could be used for reliable detection of trace quantities of pathogens. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Amperometric Electrochemical Microsystem for a Miniaturized Protein Biosensor Array

    Publication Year: 2009 , Page(s): 160 - 168
    Cited by:  Papers (26)  |  Patents (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1295 KB) |  | HTML iconHTML  

    Protein-based bioelectrochemical interfaces offer great potential for rapid detection, continuous use, and miniaturized sensor arrays. This paper introduces a microsystem platform that enables multiple bioelectrochemical interfaces to be interrogated simultaneously by an onchip amperometric readout system. A post-complementary metal-oxide semiconductor (CMOS) fabrication procedure is described that permits the formation of planar electrode arrays and self assembly of biosensor interfaces on the electrodes. The onchip, 0.5-mum CMOS readout electronics include a compact potentiostat that supports a very broad range of input currents-6 pA to 10 muA-to accommodate diverse biosensor interfaces. The 2.3 times 2.2-mm chip operates from a 5-V supply at 0.6 mA. A prototype electrochemical sensor platform, including an onchip potentiostat and miniaturized biosensor array, was characterized by using cyclic voltammetry. The linear relationship between the oxidization peak values and the concentrations of target analytes in the solution verifies functionality of the system and demonstrates the potential for future implementations of this platform in high sensitivity, low cost, and onchip protein-based sensor arrays. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A Wireless-Implantable Microsystem for Continuous Blood Glucose Monitoring

    Publication Year: 2009 , Page(s): 169 - 180
    Cited by:  Papers (41)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1438 KB) |  | HTML iconHTML  

    A remotely powered implantable microsystem for continuous blood glucose monitoring is presented. The microsystem consists of a microfabricated glucose biosensor flip-chip bonded to a transponder chip. The transponder chip is inductively powered by an external reader with a 13.56-MHz carrier. It then measures the output signal of the glucose biosensor and transmits the measured data back to the external reader using load-shift keying (LSK). The microsystem has a volume of 32 mm3. The procedures for the microfabrication of the glucose sensor and the assembly of the microsystem are described along with the description of the circuit blocks of the transponder chip. The transponder chip has been fabricated with the TSMC 0.18-mum CMOS process and has a total area of 1.3 x 1.3 mm2. The chip can measure the sensor output current ranging from 1 nA to 1 muA with less than 0.3% nonlinearity error, provided that the amplitude of the received RF signal is higher than 2.6 V; the circuit consumes a total current of about 110 muA. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A Remote Compact Sensor for the Real-Time Monitoring of Human Heartbeat and Respiration Rate

    Publication Year: 2009 , Page(s): 181 - 188
    Cited by:  Papers (12)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1892 KB) |  | HTML iconHTML  

    A remote compact sensor system for the detection of human vital signs (heartbeat and respiration rate) is presented. The frequency band of 24 GHz is employed for remote sensing. For the compact size, the developed sensor uses a circularly polarized electromagnetic wave with a single antenna. The sensor system is composed of radio-frequency circuits, a signal conditioning block, a data-acquisition unit, and a signal-processing part. The peak detection of the power spectral density with a tracking algorithm is utilized for the real-time detection of human vital signs. The measurement result is compared with the commercial fingertip sensor. The comparison result shows excellent agreement. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Biomedical Circuits and Systems Conference (BioCAS 2009)

    Publication Year: 2009 , Page(s): 189
    Save to Project icon | Request Permissions | PDF file iconPDF (589 KB)  
    Freely Available from IEEE
  • 2010 IEEE International Symposium on Circuits and Systems (ISCAS2010)

    Publication Year: 2009 , Page(s): 190
    Save to Project icon | Request Permissions | PDF file iconPDF (701 KB)  
    Freely Available from IEEE
  • The IEEE Digital Library [advertisement]

    Publication Year: 2009 , Page(s): 191
    Save to Project icon | Request Permissions | PDF file iconPDF (291 KB)  
    Freely Available from IEEE
  • IEEE Transactions on Biomedical Circuits and Systems Information for authors

    Publication Year: 2009 , Page(s): 192
    Save to Project icon | Request Permissions | PDF file iconPDF (32 KB)  
    Freely Available from IEEE
  • IEEE Transactions on Biomedical Circuits and Systems society information

    Publication Year: 2009 , Page(s): C3
    Save to Project icon | Request Permissions | PDF file iconPDF (27 KB)  
    Freely Available from IEEE
  • Blank page [back cover]

    Publication Year: 2009 , Page(s): C4
    Save to Project icon | Request Permissions | PDF file iconPDF (5 KB)  
    Freely Available from IEEE

Aims & Scope

IEEE 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 principles.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Gert Cauwenberghs
University of California at San Diego