| 摘要 |
The method provides signal processing algorithms for detecting bradykinesia, tremor, or other symptoms of neurological dysfunction in subjects, using three-dimensional sensors to tract finger and hand position (e.g. tapping tests, â reach and graspâ task, tracing a geometric figure). The method includes Cartesian Genetic Programming (CGP)networks and particular function blocks for such networks to enable identification of subjects exhibiting such symptoms. In one embodiment the apparatus comprises a first three-dimensional position sensor 2 securable to the thumb 3 of a user, a second three-dimensional position sensor 4 securable to a second opposable finger 5 of a user and a third three-dimensional position sensor 6, securable to a wrist of a user. In a preferred embodiment the wrist sensor 6 provides three-dimensional position data relative to a fixed datum point whilst the finger sensors provide position data relative to the wrist sensor 6. The three-dimensional sensors may be in the form of a data glove. |
