IBM researchers presented the first prototype of a nail sensor, which uses artificial intelligence and machine learning to monitor human health, as well as analyzes the presence and progression of diseases.
The miniature device is attached to the tip of the finger and using strain gauge sensors attached to the nail, continuously producing measurements of its deformation, temperature, surface textures. The built-in minicomputer collects the information obtained, complements its accelerometer data and is associated with smart clocks. Devices contact remotely.
With the help of machine learning algorithms, the system evaluates the presence and progression of diseases of the nervous and musculoskeletal system, such as tremor and dyskinesia, which are symptoms of Parkinson’s disease.
According to the developers, our nails bend and move in a standard way when we take something, keep, and just move your fingers. The amplitude of deformation is measured in microns and indistinguishable with the naked eye.
Although the nail sensor cannot replace the native, fixing various movements, muscle health, nerve cells and the intensity of the emotional state. However, its use is less problematic because it does not lead to irritation or infections faced with older people.
Researchers IBM say that the sensor inspired them on the idea of creating a device simulated by the fingertip structure, which one day can be paralyzed to communicate.
Previously, we wrote about the fact that Microsoft’s corporation entered into an agreement for the supply of 100 thousand prototypes of appropriate reality devices