Technical Articles

  • Developing Motion Analysis Algorithms

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  • Simulating Optical Systems for Retina Implant Design

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By developing and testing motion analysis algorithms in MATLAB® and generating C code with MATLAB Coder™ dorsaVi engineers cut development time by almost half compared to their previous approach, which involved hand-coding in C#.
Dec 2014
Nano Retina developed a system model in Simulink® incorporating the eye’s optics and movements, environmental factors, and analog and digital subsystems, and simulated the model under multiple scenarios to gain insights into the system behavior.
Sep 2014
Engineers use MATLAB and Simulink to analyze image and signal data, design controls and signal processing algorithms, implement their designs in software after thorough verification and validation, and generate reports for standards compliance.
Aug 2014
As their fourth-year undergraduate capstone project, Penn students used MATLAB and Simulink to design and build Titan Arm, a controllable, wireless exoskeleton capable of lifting more than 40 pounds.
Jan 2014
This paper outlines the requirements and considerations for developing and deploying physical system models.
Jan 2014
A fully automated MCL modeled in Simulink and Simscape enables researchers to accurately simulate cardiac conditions and dynamics to evaluate the performance of cardiac assist devices.
Nov 2013
Engineers and scientists connect MATLAB and Simulink to FPGAs, microprocessors, cameras, instruments, and other hardware to design, test, and verify systems that combine hardware and software components.
Oct 2013
UPenn has developed a first-of-its-kind electrophysiological model of the heart that enables real-time closed-loop testing and early verification of pacemakers by simulating a variety of heart conditions.
Jun 2013
Recent enhancements to MATLAB® and Image Processing Toolbox™ dramatically increase image processing speed
Apr 2012
MATLAB and Simulink models help Simon Fraser University researchers run and control experiments to determine how sensory input affects walking speed.
Feb 2012
Solving Sudoku using a MATLAB recursive backtracking algorithm.
Sep 2010
This article provides brief profiles of 7 customers who use parallel computing to solve computationally intensive problems: Max Planck Institute, EIM Group, Argonne National Laboratory, C-COR, MIT, Univ of London, Univ of Geneva.
Nov 2009
Johns Hopkins University Applied Physics Laboratory is leading a worldwide team whose mission is to develop a prosthetic that enables the wearer to move with the speed, dexterity, and force of a real arm and perceive pressure, force, & temperature.
Nov 2009
EquuSys used MATLAB to develop an easy-to-use, non-invasive system for identifying and diagnosing equine lameness. The system processes telemetry data to provide objective data on equine biomechanics in the form of charts, 3-D plots, and animation.
Mar 2009
Aerospace, automotive, communications, mechatronics and other organizations solve the challenge of verifying and validating embedded systems comprising software and electronics.
Sep 2008
Case Western Reserve University researchers developed a programmable device that sends electrical signals to an implant that activates paralyzed limbs and muscles.
Feb 2008
Students at the University of Washington (UW) use MATLAB® and other MathWorks products in one of our most popular courses— EE436: Medical Instrumentation.
Oct 2007
Engineers use rapid prototyping to advance cochlear implant technology.
Oct 2006
What if Beethoven had been able to communicate directly with an electronic piano that could interpret his brain signals and record his compositions?
Jan 2006
Two years ago, researchers for the Human Genome Project unveiled a component “glossary” of the human body that will ultimately yield a database of the 3,000,000,000 chemical base pairs (the DNA sequence) in the human genome.
Jan 2006
The DICOM format describes how to compose messages to send between imaging modalities and defines a set of operations for transmitting them across a network.
Nov 2002
Advances in the acquisition and analysis of biosignals such as electroencephalograms (EEGs) and electrocorticograms (ECoGs) are profoundly improving brain wave research.
Nov 2002

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