Muqri, M. R., & Chng, S. E. (2014, June), DICOM, MRI and Bioinstrumentation using Matlab and Simulink  Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2--20325

\bibitem{asee_peer_20325}
  Muqri, M. R., \& Chng, S. E. (2014, June), \emph{DICOM, MRI and Bioinstrumentation using Matlab and Simulink}
  Paper presented at 2014 ASEE Annual Conference \& Exposition, Indianapolis, Indiana.
  10.18260/1-2--20325

Mohammad Rafiq Muqri and Shih Ek Chng.  "DICOM, MRI and Bioinstrumentation using Matlab and Simulink".  2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana, 2014, June.  ASEE Conferences, 2014.  https://peer.asee.org/20325 Internet.  16 Dec, 2024

\bibitem{asee_peer_20325}
  Mohammad Rafiq Muqri and Shih Ek Chng.
  "DICOM, MRI and Bioinstrumentation using Matlab and Simulink".
  \emph{2014 ASEE Annual Conference \& Exposition, Indianapolis, Indiana, 2014, June}.
  ASEE Conferences, 2014.
  https://peer.asee.org/20325 Internet.  16 Dec, 2024

@INPROCEEDINGS{asee_peer_20325
author = "Mohammad Rafiq Muqri and Shih Ek Chng"
title = "DICOM, MRI and Bioinstrumentation using Matlab and Simulink"
booktitle = "2014 ASEE Annual Conference \& Exposition"
year = "2014"
month = "June"
address = "Indianapolis, Indiana"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/20325}
number = {10.18260/1-2--20325}
}

TY  - CPAPER
AB  -        DICOM, MRI and Bioinstrumentation using Matlab and SimulinkStudents interested in biomedical signal processing, digital imaging and communications inmedicine (DICOM), picture archiving and communication system (PACS), andbioinstrumentation sometimes do not get the opportunity to get as many background courses or astrong and rigorous treatment of the many fundamental core topics important to signalprocessing, computer communications, radiography, and biomedical instrumentation ascompared to traditional electrical engineering students. This becomes more apparent whenstudents are working on capstone senior projects.One strategy we tried earlier to solve this issue was to have a mixed capstone project groupcomprising of computer, electronic and biomedical engineering students. This strategy workedfor few groups but success rate was less than thirty five percent and we felt that this was due tothe students not being adequately prepared and sometimes having a disadvantage compared totraditional electrical engineering students.To rectify this situation we proposed and developed this teaching module which incorporateswell selected signal processing, biomedical imaging and instrumentation topics which makeextensive use of Matlab, Simulink, and LabView tools. This teaching module includes a detaileddescription of associated core lab exercises, student responses and recommendations. This lowcost program consists of a series of theory modules coupled with a hands-on laboratory component usingreadily available test equipment and graphical capabilities of Matlab, Simulink and LabView software. Assuch this paper concerns problem solved and lessons learned while developing computer-assistedinstruction strategy to improve the current state of learning in the classroom. This will introduce thestudents to new topics not covered in traditional courses. The goal of this paper is to pass on informationuseful to anyone contemplating related work, where similar occurrences are likely. This paper willexplain how this learning and teaching module was instrumental in progressive learning of thesestudents, improving their performance and successful culmination of capstone senior projects.
AU  - Mohammad Rafiq Muqri
AU  - Shih Ek Chng
CY  - Indianapolis, Indiana
DA  - 2014/06/15
PB  - ASEE Conferences
TI  - DICOM, MRI and Bioinstrumentation using Matlab and Simulink
UR  - https://peer.asee.org/20325
DO  - 10.18260/1-2--20325
ER  -