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ID06909682

AI-Enhanced Continuous Remote Monitoring Using Wearable Devices to Improve Outcomes in Adults with Chronic Heart Failure

Led by University of Salerno · Updated on 2026-03-11

205

Participants Needed

1

Research Sites

26 weeks

Total Duration

AI-Summary

What this Trial Is About

Researchers are evaluating whether continuous remote monitoring using an AI-driven, mini-invasive wearable device can improve clinical outcomes for adults aged 18 years and older with chronic heart failure CHF. The study compares patients using the EmbracePlus device to those receiving standard clinical care to see if this technology reduces hospital admissions by 20% and improves functional, biochemical, and instrumental health parameters. This observational, multicenter study seeks to provide real-world evidence on integrating wearable technology with AI to enhance CHF management and patient quality of life. Participants in the intervention group will wear the EmbracePlus device continuously for six months, which tracks key physiological parameters like oxygen saturation, heart rate variability, electrodermal activity, temperature, respiratory rate, and sleep quality. Data is transmitted to a centralized AI platform that analyzes trends and generates alerts for teleconsultations or in-person visits if abnormalities are detected. The control group will receive standard CHF management, including scheduled in-person visits every three months with lab tests, echocardiography, and ECG evaluations. Treatment adjustments will be made based on clinical assessments in both groups. During the study, participants will attend regular follow-up visits, either remotely or in person, for clinical evaluations and treatment adjustments. Researchers will monitor hospital admissions over six months as the primary outcome and assess secondary outcomes such as quality of life, therapy-related adverse effects, biochemical markers, and cardiac function through various tests at baseline, three months, and six months. Data privacy is maintained by pseudonymizing all collected information, and patients provide informed consent before enrollment.

CONDITIONS

Brief Title

AI-Based Monitoring System for Chronic Heart Failure With Advanced Wearable and Mini-Invasive Devices

Research Team

A

Alessia Bramanti, Electronic Engineering

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