صحافة بلادي صحيفة إلكترونية مغاربية متجددة على مدار الساعة تعنى بشؤون المغرب الجزائر ليبيا موريتانيا تونس
A recent study showed that there is a relationship between high blood sugar levels and the tone of voice, which may open new horizons for diagnosing type 2 diabetes and monitoring sugar levels in a simple way via smartphones, according to the “New Atlas” website, citing the “Scientific Reports” journal.
In type 2 diabetes, insulin resistance and loss of the pancreas’ ability to produce enough insulin lead to imbalanced blood sugar levels. Diagnosing the condition early is crucial to avoiding long-term complications. Previous studies have shown multiple ways to diagnose the disease, from checking levels of proteins in the blood to using smartphone cameras, but this new study offers a different approach.
A team of researchers at Click Research Laboratories has developed a new method for diagnosing and monitoring diabetes by analyzing the tone of voice. “The study demonstrated a significant positive association between blood glucose levels and fundamental sound frequency,” said Jesse Kaufman, principal scientist at the Klick Lab and lead researcher on the study. “This finding opens the way for further research into the possibility of using sound as a tool to predict and monitor glucose levels. While current glucose monitoring methods may be inconvenient, monitoring glucose levels via sound, using smartphones, could be more convenient and could be a game-changer for patients.”
Fundamental frequency, or F0, refers to the fundamental pitch of a voice, and it has been suggested that glucose levels may affect this frequency through their effect on the tension, mass, or length of the vocal folds. Based on this hypothesis, the researchers tested the relationship between glucose levels and voice tone.
The study found a significant association between tone of voice and blood glucose levels, revealing a linear relationship between them. The pitch of the voice increases as blood sugar levels increase. However, the researchers point out that pitch alone may not be enough to accurately determine glucose levels, and that other audio features may be necessary to build an effective prediction model.
These findings point to new possibilities for diagnosing and monitoring type 2 diabetes through less invasive techniques, which may make patients’ lives easier and make monitoring their health more convenient.
