facebook instagram pinterest search twitter youtube whatsapp linkedin thumbup

Wearable Sensors Enable Predictions of Laboratory Measurements

An interesting study from the Stanford University School of Medicine was published in June 2021. In this study, vital signs, including continuous heart rate and body temperature electrodermal activity and movement were used in detecting medical conditions using machine learning. Medical conditions were clinical laboratory test results of several measurements related to electrolytes, diabetes, cardiovascular diseases and immune systems. Bases on results authors concluded that vital signs collected from wearables give more consistent and precise description of resting HR than do measurements taken at clinic. Data collected also predicted several clinical laboratory measurements with lower prediction error that predictions made using clinically obtained vital signs measurements. As a conclusion results also demonstrated that value of wearables for continuous and longitudinal assessments of physiological measurements that today can be measured only with laboratory measurements.

Reference

Dunn, J., Kidzinski, L., Runge, R. et al. Wearable sensors enable personalized predictions of clinical laboratory measurements. Nat Med 27, 1105–1112 (2021). https://doi.org/10.1038/s41591-021-01339-0

If you liked this post, don’t forget to share so that others can find it, too.

Please note that the information provided in the Polar Blog articles cannot replace individual advice from health professionals. Please consult your physician before starting a new fitness program.

Don't want to miss a thing? Sign up for our newsletter to stay in the know.