Study: Wearable AI-powered biosensors show promise for HF detection

Wearable biosenors with artificial intelligence-based analytics can provide accurate early detection of impending rehospitalization similar to implanted devices, according to data from a new study backed by the US Dept. of Veterans Affairs. The trial explored the ability of wearable sensors, developed by VitalConnect, supported by AI-driven analytics, developed by PhysIQ, to effectively predict heart failure events. Results from the trial were presented at the American College of Cardiology’s 67th annual scientific session and expo. A total of 100 subjects were enrolled across four US VA hospitals, with each provided with a 90-day supply of sensors that connected via smartphones to record and upload physiological data including heart rate, heart rate variability, accerlerometry, respiratory rate and temperature. A total 33 individuals in the trial were readmitted for heart failure, and a total of 86% of individuals in the trial completed the study procedures. The systems ability to predict HF readmission were significantly superior to random chance, researchers reported, with a specificity of 85.9% and a sensitivity of 84.2%, according to the study. “The results of this study suggest a highly favorable relationship between sensitivity and specificity of event detection, as well as a sufficient warning lead time for clinicians tasked with managing patients at risk for admission for heart failure exacerbation. Furthermore, the study demonstrated that patients wer...
Source: Mass Device - Category: Medical Devices Authors: Tags: Cardiovascular Clinical Trials Diagnostics mHealth (Mobile Health) Patient Monitoring physiq Vital Connect Source Type: news