Wearable Technologies and AI at the Far Edge for Chronic Heart Failure Prevention and Management: A Systematic Review and Prospects

Abstract

Smart wearable devices enable personalized at-home healthcare by unobtrusively collecting patient health data and facilitating the development of intelligent platforms to support patient care and management. The accurate analysis of data obtained from wearable devices is crucial for interpreting and contextualizing health data and facilitating the reliable diagnosis and management of critical and chronic diseases. The combination of edge computing and artificial intelligence has provided real-time, time-critical, and privacy-preserving data analysis solutions. However, based on the envisioned service, evaluating the additive value of edge intelligence to the overall architecture is essential before implementation. This article aims to comprehensively analyze the current state of the art on smart health infrastructures implementing wearable and AI technologies at the far edge to support patients with chronic heart failure (CHF). In particular, we highlight the contribution of edge intelligence in supporting the integration of wearable devices into IoT-aware technology infrastructures that provide services for patient diagnosis and management. We also offer an in-depth analysis of open challenges and provide potential solutions to facilitate the integration of wearable devices with edge AI solutions to provide innovative technological infrastructures and interactive services for patients and doctors.

A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using electrocardiograms

“…AI has transformed ECG analysis into wearable technology, offering real-time cardiovascular health information. With the help of these intelligent wearables with sophisticated algorithms, users may proactively manage their heart health as they continuously monitor and interpret ECG data [161] , [162] . Artificial intelligence is seamlessly incorporated into ECG interpretations to improve accuracy and facilitate early identification of anomalies and probable cardiac problems.…”

A Comprehensive Review on Advancements in Wearable Technologies: Revolutionizing Cardiovascular Medicine

“…Additionally, wearable technologies facilitate personalized feedback and guidance, exemplified by systems like personal activity intelligence (PAI), which tailors activity targets based on individual data rather than generic standards [11]. These devices empower individuals to monitor their health proactively and enable healthcare professionals to make more informed decisions by integrating wearable data into clinical workflows to optimize patient care [12,36]. Despite challenges such as device accuracy, clinical validity, and privacy concerns, collaborative efforts among stakeholders are indispensable for navigating these obstacles and ensuring the equitable adoption of wearable technologies in cardiovascular medicine [20,36].…”

“…These devices empower individuals to monitor their health proactively and enable healthcare professionals to make more informed decisions by integrating wearable data into clinical workflows to optimize patient care [12,36]. Despite challenges such as device accuracy, clinical validity, and privacy concerns, collaborative efforts among stakeholders are indispensable for navigating these obstacles and ensuring the equitable adoption of wearable technologies in cardiovascular medicine [20,36].…”

Unveiling wearables: exploring the global landscape of biometric applications and vital signs and behavioral impact

“…Research in [ 30 ] aims to underscore the primary biometric applications of wearables in monitoring people’s vital signs. This research endeavor seeks to illuminate the paramount role played by biometric applications in wearables, particularly their proficiency in monitoring individuals’ vital signs.…”