IBM develops nail sensors to track health and use with smart watches

According to reports, recently, IBM developed a nail sensor that can detect grip strength and provide health analysis based on AI. The strength of the grip is usually a good indicator of health, not just a disease like Parkinson's disease, it can also measure cognitive ability and even heart health.

The device uses a series of strain gauges to detect nail deformation when grabbing an object, and its sensitivity is sufficient to detect tasks such as opening a vial, turning a key, or even writing with a finger.

The sensor sends its data to the smart watch (in this case Apple Watch) and artificial intelligence begins to enter. Machine learning on the watch can detect various symptoms of Parkinson's disease, such as tremor (slow slow autonomic movement) and dyskinesia (reduced autonomic movement).

IBM added that it can use neural networks to accurately detect finger-written numbers, which helps identify health issues related to cognitive and motor skills.

Although the sensor was originally developed on the basis of Parkinson's, IBM clearly saw a range of uses, including testing for the development of multiple diseases and therapies aimed at slowing down these diseases. It is also the basis for communication devices for quadriplegic patients.

IBM did not mention when such a sensor could become a reality, but it at least makes sense. Skin sensors may not be suitable for the elderly because the hands and arms of older people may be relatively weak. The nail sensor is located in a relatively safe area, so you don't have to worry about removing or loosening it.

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