AIMC Topic: Remote Patient Monitoring

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Remote patient monitoring system combining hardware and artificial intelligence based software.

Biomedical physics & engineering express
This study details the development of a remote patient monitoring system with a primary focus on a novel, customized Deep Neural Network (DNN) for arrhythmia detection. The system integrates hardware for real-time data collection from biomedical sens...

Machine learning-optimized dual-band wearable antenna for real-time remote patient monitoring in biomedical IoT systems.

Scientific reports
This work presents a machine learning (ML)-optimized dual-band wearable antenna designed specifically for biomedical applications in healthcare monitoring. Fabricated on a Rogers substrate of 40 × 41 mm, the antenna operates at 2.4 GHz and 5.8 GHz wi...

Enhancing remote patient monitoring with AI-driven IoMT and cloud computing technologies.

Scientific reports
The rapid advancement of the Internet of Medical Things (IoMT) has revolutionized remote healthcare monitoring, enabling real-time disease detection and patient care. This research introduces a novel AI-driven telemedicine framework that integrates I...

Development of a triangular Fermatean fuzzy EDAS model for remote patient monitoring applications.

Scientific reports
Remote Patient Monitoring Systems (RPMS) are vital for tracking patients' health outside clinical settings, such as at home or in long-term care facilities. Wearable sensors play a crucial role in these systems by continuously collecting and transmit...

Remote monitoring in heart failure: artificial intelligence and the use of remote speech analysis to detect worsening heart failure events.

Heart failure reviews
Globally, heart failure (HF) is a leading cause of hospitalization and mortality, primarily among the elderly, and is estimated to affect more than 64 million individuals. Hospitalization for HF represents the largest part of overall medical care exp...

The Impact of AI-driven Remote Patient Monitoring on Cancer Care: A Systematic Review.

Anticancer research
The coronavirus disease 2019 (COVID-19) pandemic necessitated a shift in healthcare delivery, emphasizing the need for remote patient monitoring (RPM) to minimize infection risks. This review aimed to evaluate the applications of artificial intellige...

Integrating Remote Patient Monitoring Data into Machine Learning Models for Predicting Emergency Department Utilization.

AMIA ... Annual Symposium proceedings. AMIA Symposium
The integration of Remote Patient Monitoring (RPM) data into risk stratification models has emerged as a promising approach for improving healthcare delivery and patient outcomes. In this work, we explore the integration of RPM features - including a...