Literature DB >> 20703567

ASIC design of a digital fuzzy system on chip for medical diagnostic applications.

Shubhajit Roy Chowdhury1, Aniruddha Roy, Hiranmay Saha.   

Abstract

The paper presents the ASIC design of a digital fuzzy logic circuit for medical diagnostic applications. The system on chip under consideration uses fuzzifier, memory and defuzzifier for fuzzifying the patient data, storing the membership function values and defuzzifying the membership function values to get the output decision. The proposed circuit uses triangular trapezoidal membership functions for fuzzification patients' data. For minimizing the transistor count, the proposed circuit uses 3T XOR gates and 8T adders for its design. The entire work has been carried out using TSMC 0.35 µm CMOS process. Post layout TSPICE simulation of the whole circuit indicates a delay of 31.27 ns and the average power dissipation of the system on chip is 123.49 mW which indicates a less delay and less power dissipation than the comparable embedded systems reported earlier.

Entities:  

Mesh:

Year:  2009        PMID: 20703567     DOI: 10.1007/s10916-009-9359-5

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  5 in total

1.  Transductive reliability estimation for medical diagnosis.

Authors:  Matjaz Kukar
Journal:  Artif Intell Med       Date:  2003 Sep-Oct       Impact factor: 5.326

2.  Depth of anesthesia estimation and control.

Authors:  J W Huang; Y Y Lu; A Nayak; R J Roy
Journal:  IEEE Trans Biomed Eng       Date:  1999-01       Impact factor: 4.538

3.  Multiple-drug hemodynamic control using fuzzy decision theory.

Authors:  J W Huang; R J Roy
Journal:  IEEE Trans Biomed Eng       Date:  1998-02       Impact factor: 4.538

4.  Medical diagnosis using adaptive perceptive particle swarm optimization and its hardware realization using field programmable gate array.

Authors:  Shubhajit Roy Chowdhury; Dipankar Chakrabarti; Saha Hiranmay
Journal:  J Med Syst       Date:  2009-12       Impact factor: 4.460

5.  Multiple drug hemodynamic control by means of a supervisory-fuzzy rule-based adaptive control system: validation on a model.

Authors:  C M Held; R J Roy
Journal:  IEEE Trans Biomed Eng       Date:  1995-04       Impact factor: 4.538

  5 in total
  1 in total

1.  EEG-NIRS based assessment of neurovascular coupling during anodal transcranial direct current stimulation--a stroke case series.

Authors:  Anirban Dutta; Athira Jacob; Shubhajit Roy Chowdhury; Abhijit Das; Michael A Nitsche
Journal:  J Med Syst       Date:  2015-02-17       Impact factor: 4.460

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.