AIMC Topic: Monitoring, Physiologic
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Contactless Respiration Monitoring Using Wi-Fi and Artificial Neural Network Detection Method.
IEEE journal of biomedical and health informatics
Mar 6, 2024
Detecting respiration in a non-intrusive manner is beneficial not only for convenience but also for cases where the traditional ways cannot be applied. This paper presents a novel simple low-cost system where ambient Wi-Fi signals are acquired by a t...
Conventional and deep learning methods in heart rate estimation from RGB face videos.
Physiological measurement
Feb 9, 2024
Contactless vital signs monitoring is a fast-advancing scientific field that aims to employ monitoring methods that do not necessitate the use of leads or physical attachments to the patient in order to overcome the shortcomings and limits of traditi...
Neuromonitoring in the ICU - what, how and why?
Current opinion in critical care
Feb 7, 2024
PURPOSE OF REVIEW: We selectively review emerging noninvasive neuromonitoring techniques and the evidence that supports their use in the ICU setting. The focus is on neuromonitoring research in patients with acute brain injury.
Continuous Atrial Fibrillation Monitoring From Photoplethysmography: Comparison Between Supervised Deep Learning and Heuristic Signal Processing.
JACC. Clinical electrophysiology
Feb 7, 2024
BACKGROUND: Continuous monitoring for atrial fibrillation (AF) using photoplethysmography (PPG) from smartwatches or other wearables is challenging due to periods of poor signal quality during motion or suboptimal wearing. As a result, many consumer ...
Mechanically Robust and Linearly Sensitive Soft Piezoresistive Pressure Sensor for a Wearable Human-Robot Interaction System.
ACS nano
Jan 18, 2024
Soft piezoresistive pressure sensors play an underpinning role in enabling a plethora of future Internet of Things (IoT) applications such as human-robot interaction (HRI) technologies, wearable devices, and metaverse ecosystems. Despite significant ...
Remote Monitoring and Artificial Intelligence: Outlook for 2050.
Anesthesia and analgesia
Jan 12, 2024
Remote monitoring and artificial intelligence will become common and intertwined in anesthesiology by 2050. In the intraoperative period, technology will lead to the development of integrated monitoring systems that will integrate multiple data strea...
Personalized Machine Learning-Coupled Nanopillar Triboelectric Pulse Sensor for Cuffless Blood Pressure Continuous Monitoring.
ACS nano
Nov 20, 2023
A wearable system that can continuously track the fluctuation of blood pressure (BP) based on pulse signals is highly desirable for the treatments of cardiovascular diseases, yet the sensitivity, reliability, and accuracy remain challenging. Since th...
How AI is advancing asthma management? Insights into economic and clinical aspects.
Journal of medical economics
Nov 11, 2023
Asthma, an increasingly prevalent chronic respiratory condition, incurs significant economic costs worldwide. Artificial Intelligence (AI), particularly Machine Learning (ML), has been widely recognized as transformative when applied to asthma care. ...
A framework for integrating artificial intelligence for clinical care with continuous therapeutic monitoring.
Nature biomedical engineering
Nov 6, 2023
The complex relationships between continuously monitored health signals and therapeutic regimens can be modelled via machine learning. However, the clinical implementation of the models will require changes to clinical workflows. Here we outline Clin...
Application of Machine Learning Models to Biomedical and Information System Signals From Critically Ill Adults.
Chest
Nov 1, 2023
BACKGROUND: Machine learning (ML)-derived notifications for impending episodes of hemodynamic instability and respiratory failure events are interesting because they can alert physicians in time to intervene before these complications occur.
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