In a collaboration between Rostock University and the German Center for Neurodegenerative Diseases, an algorithm was developed to detect such changes in peoples’ everyday activities around the home. To test it, 46 subjects were each fitted with an ankle-mounted 3-axis accelerometer – 23 of those people had been diagnosed with Alzheimer’s, while the other 23 constituted a healthy control group.
When the algorithm was used to assess the accelerometer data, it had a 91 percent rate of accuracy when determining which group each subject belonged to.
via Gizmag
