More than 100,000 participants in the study, which was published in the magazine “Plus Digital Health,” wore movement sensors on their wrists for a week while being required to walk for 6 minutes each day, according to the researchers.
Based on information from smartphones about a person’s age, race, sex, and walking speed, the researchers created a model to predict the likelihood that they will die over the next five years. This model uses a specific algorithm to predict mortality rates.
It turned up that 2% or less of the study’s Mediterranean and elderly participants passed away in the years that followed.
According to the Independent, the authors say: “Our results show that it is possible to negative and inexpensive measurements with kinetic sensors to achieve a similar accuracy of active active measurements for walking speed and tendency. Our canable methods provide a practical path towards the national examination of health risks.
The researchers assert that it is self-obtained by employing uninterruptible phones because the speed scale is adequate for data collection.
Unexpectedly, the phone can predict an estimated date for the owner’s passing.
About Author
