Digital Pen

Draw with a digital pen allows for early detection of Alzheimer’s or Parkinson

One of the great forgotten in today’s technological world, and will not be because he has not tried, is the digital pen. I do not mean to pointers to facilitate data entry or management with touch screens (they were very helpful with weathered old type) but the model that allows for instant scanning of all that we wrote with him.

Digital PenScientists at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT has found him a useful and promising feature to help with early detection of diseases such as Parkinson’s or Alzheimer’s. The test currently practiced in front of the doctor and it has to take notes, may happen in the future that allow tasks to be diagnosed at any time through a digital pen and the appropriate software.

An early and efficient detection

The evidence presented by scientists at MIT project managers have used the so-called Clock Drawing Test (CDT). Currently, doctors primarily responsible analyzed the outcome of the drawing in which the patient must draw a clock with an accurate time. The combination of software and hardware offering from CSAIL improvement processes taking into account all the stroke, since it begins to draw to the end, allowing accurate analysis of any element or detail.

The pen is used Anoto Live, able to record the position of the tip up to 80 times per second, so the software created collects and analyzes a wealth of information that is impossible to achieve for humans. It does so because throughout the process and doubts presented when making the stroke, one of the parameters taken into account for the detection of various diseases.

Furthermore, there is part of the key that this method can be used to move to earlier detection of diseases, the test is not so dependent subjectivity doctor or availability or capacity to review test scores so soon.

The results so far show a success and higher capacity than those used with traditional detection methods. As has one of the responsible for the work, Cynthia Rudin, training was conducted for algorithms using more than 2,500 tests performed and documented during nine years.

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