Study tracking minute ventilation and physical activity predicted 34% of heart failure events

March 25, 2014 | Reply More
Algorithm quantitatively tracking activity workload and ventilation over time

Algorithm quantitatively tracking activity workload and ventilation over time

A study using the combined data from minute ventilation and physical activity sensors was able to predict 34 percent of heart failure events in 521 patients with heart failure. The average follow-up time to the study was about 1.5 years, during which time about 130 patients experienced a heart failure event.

The non-randomized, double-blind study was published in the European Journal of Heart Failure; in the abstract, researchers write, “monitoring early signs of clinical deterioration could allow physicians to adjust medical treatment for patients at ricks of acute heart failure decompensation.”

Perminova is also developing a device for predicting heart failure; its necklace for clinical use will track an array of vital signs including thoracic fluid levels, an early predictor of congestive heart failure.

 

Read more: http://mobihealthnews.com/31319/study-algorithm-uses-activity-breathing-data-to-predict-heart-failure-events/ 

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