The IBM Fingernail Sensor is So Small that it Can Detect Diseases and Movement Abnormalities

IBM Research has made a fingernail sensor about the size of a grain of rice that can measure how strong a person’s grip is. This will help doctors diagnose and keep an eye on diseases and movement disorders.

The findings of the latest study were just published in the journal Scientific Reports. The device is simply a wearable strain detector that analyzes the kinematics of distortion in human nails. It does this by measuring the strain in the fingernails. To put it another way, it is attached to your fingernails and monitors how they bend and move from their vantage point.

The miniature wearable is equipped with strain gauges, which enable it to identify lateral and longitudinal warpage on the scale of a few microns. For the purposes of evaluating, each hair on your head is around 70 microns in length. Because the human eye can only detect objects that are between 20 and 40 microns in size, fog particles can be anywhere from 5 to 50 microns in size, making them nearly impossible to perceive.

The hands of the average individual are put to work holding objects hundreds of times every single day. When you run this raw data through a mobile app, smartwatch, or another device, you will be able to recognize emotions and gestures, as well as fingerprinting and grip strength.

The wearable device can be utilized to determine the amount of effort required to carry out common activities such as cleaning one’s teeth, turning a key, or opening a container of food. Learning machines are able to recognize patterns in data such as pressure, motion, grip strength, and tremors, amongst other symptoms. Following that, this can be used to provide illuminating insights into a variety of different health problems.

You could, for instance, test cognitive capacities in schizophrenics, measure the progression of Parkinson’s illness, or keep an eye on a person’s heart condition. In point of fact, the initiative was initially conceived as an effort to record the medication situations of people who suffer from Parkinson’s disease; however, it is now finding wider application. According to IBM, the software can even be used to reliably identify finger-written letters, which can aid with identifying cognitive ability. [citation needed]

The prototype of the wearable device is only currently available, but it is hoped that one day it will be utilized to assist clinicians in monitoring patients’ conditions while the patients are in their natural habitats. IBM hasn’t said yet when the sensor might be available to the public as a consumer good.

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