Study: Algorithm uses activity, breathing data to predict heart failure events

A non-randomized, double-blind study of 521 patients with heart failure found that the combination of data from minute ventilation and physical activity sensors could predict 34 percent of heart failure events, according to a study published in the European Journal of Heart Failure. “Monitoring early signs of clinical deterioration could allow physicians to adjust medical treatment [...]
Source: mobihealthnews - Category: Information Technology Authors: Tags: Uncategorized activity sensors cardiac resynchronization therapy defibrillation devices European Journal of Heart Failure minute ventilation Physiological Diagnostic Source Type: news