Gifted Issues Discussion homepage Forums Age or Ability Specific Forums Adult Teen develops brain-reading tech for Alzheimer's

Taking care of his grandmother during her final stages of Alzheimer’s disease inspired Sheen to search for a solution to the communication issues she suffered from. Sheen developed a highly efficient wireless brainwave classification method for Alzheimer’s patients. His work can be used to bridge the communication barrier between Alzheimer’s patients and their caretakers, and gives caretakers the ability to understand the needs of Alzheimer’s patients. On a healthcare level, this has the potential to impact quality of life and cost of medical treatment. Sheen’s work can also be extended to other communication disorders, such as stroke, autism, and ALS.

Previous to his work, thought recognition devices could accurately identify three thoughts with 80 percent accuracy, in a population of subjects without Alzheimer’s. His says his model can classify four thoughts at a 95 percent accuracy in normal subjects, and at 90 percent in a group with Alzheimer’s.
...
Sheen determined that his method for using EEG waves could predict with 90 percent accuracy whether a person wishes to eat, rest, read, or exercise... these are the thoughts he felt “would be the most helpful for caretakers.”