Stanford University Training Computer Senses human pain

Source: Internet
Author: User
Keywords Stanford University
Tags computer data group public research sina sina science and technology software
Sina Science and technology news Beijing time September 14 morning, a team of Stanford University in the United States through the use of acquisition software to the human brain scan data collation, can determine whether the body is in pain state. Dr. Sean Mackey, of Stanford University's School of Medicine, said the team Shawn Mackie the body's pain by neuroimaging, and found that the method was very successful.  At present, Dr. McKee's research has been published in the International famous Public Science Library, "PLoS One," a comprehensive journal.  Currently, the group still relies on whether the patient perceives pain as the gold standard for measuring pain in the experiment. However, one patient, including infants, the elderly and people with dementia, reacted less sensitively to the pain.  This has also led to another topic that has long been studied by the medical community, namely, how to determine objective pain standards. In order to train the computer to identify pain, 8 volunteers first contacted the High-temperature object in the case of brain scans, and then contacted the ultra-high temperature object that caused the experimenter to feel pain.  The computer analyses the difference between the response brain waves of two contact objects, and then the pain is judged. In the experiment, the computer's accuracy of pain discrimination can reach more than 80%. But Dr McKee also says computers are still unable to distinguish between chronic pain and acute pain. (Puma) to share:
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