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The use of artificial intelligence techniques has been broadly extended to many fields and involved in a wide range of industries, whether they are large or precise, or have become a foundation and a key factor of the intelligent lifestyle of today. These techniques have been widely used in the health sector, diagnosis and early detection of diseases. In this context, IBM has developed a sensor to track the physical health of the nails by relying on the strength of the handle to perform various daily tasks.
The IBM sensor is not only linked to the identification of specific motor diseases, in particular to the implications of Parkinson's disease, but also to monitoring heart health and controlling the frequency of any motor effort badyzed by sending Captured data for smart clocks such as Apple Clock, which contains artificial intelligence systems. Built-in sensor to identify the data sent by the sensor and to identify the expected symptoms and illnesses of Kickerson or a slow motion or any future satisfactory expectation. IBM indicates that the sensor can access accurate results via a network, while dialing numbers helps identify the badociated disease. Cognitive or kinetic side.
But for a moment, there is no date for the launch of this sensor or become a reality can be used in the field, although technically it is considered logical and better served in terms of position on the nail, which is a safe place compared to skin sensors, which poses a problem for monitoring activities, especially among the elderly. Their weakness and their tissue weakness.
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