AIMC Topic: Monitoring, Physiologic
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Interfacial Polarization Strategy to Electroactive Poly(lactic acid) Nanofibers for Humidity-Resistant Respiratory Protection and Machine Learning-Assisted Monitoring.
ACS applied materials & interfaces
Aug 18, 2024
The advancement of intelligent and biodegradable respiratory protection equipment is pivotal in the realm of human health engineering. Despite significant progress, achieving a balance between efficient filtration and intelligent monitoring remains a...
Recent Progress on Flexible Self-Powered Tactile Sensing Platforms for Health Monitoring and Robotics.
Small (Weinheim an der Bergstrasse, Germany)
Aug 11, 2024
Over the past decades, tactile sensing technology has made significant advances in the fields of health monitoring and robotics. Compared to conventional sensors, self-powered tactile sensors do not require an external power source to drive, which ma...
Stress Classification and Vital Signs Forecasting for IoT-Health Monitoring.
IEEE/ACM transactions on computational biology and bioinformatics
Aug 8, 2024
Health monitoring embedded with intelligence is the demand of the day. In this era of a large population with the emergence of a variety of diseases, the demand for healthcare facilities is high. Yet there is scarcity of medical experts, technicians ...
A deep learning-based real-time hypothermia and hyperthermia monitoring system with a simple body sensor.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Aug 6, 2024
A real-time hypothermia and hyperthermia monitoring system with a simple body sensor based on a Convolutional Neural Network (CNN) is presented. The sensor is produced with 3D-printed thermochromic material. Due to the color change feature of thermoc...
Smart Sleep Monitoring: Sparse Sensor-Based Spatiotemporal CNN for Sleep Posture Detection.
Sensors (Basel, Switzerland)
Jul 25, 2024
Sleep quality is heavily influenced by sleep posture, with research indicating that a supine posture can worsen obstructive sleep apnea (OSA) while lateral postures promote better sleep. For patients confined to beds, regular changes in posture are c...
Automated Detection of In-Home Activities with Ultra-Wideband Sensors.
Sensors (Basel, Switzerland)
Jul 20, 2024
As Canada's population of older adults rises, the need for aging-in-place solutions is growing due to the declining quality of long-term-care homes and long wait times. While the current standards include questionnaire-based assessments for monitorin...
A machine-learning approach for stress detection using wearable sensors in free-living environments.
Computers in biology and medicine
Jul 18, 2024
Stress is a psychological condition resulting from the body's response to challenging situations, which can negatively impact physical and mental health if experienced over prolonged periods. Early detection of stress is crucial to prevent chronic he...
Deriving Automated Device Metadata From Intracranial Pressure Waveforms: A Transforming Research and Clinical Knowledge in Traumatic Brain Injury ICU Physiology Cohort Analysis.
Critical care explorations
Jul 16, 2024
IMPORTANCE: Treatment for intracranial pressure (ICP) has been increasingly informed by machine learning (ML)-derived ICP waveform characteristics. There are gaps, however, in understanding how ICP monitor type may bias waveform characteristics used ...
A proof of concept for microcirculation monitoring using machine learning based hyperspectral imaging in critically ill patients: a monocentric observational study.
Critical care (London, England)
Jul 10, 2024
BACKGROUND: Impaired microcirculation is a cornerstone of sepsis development and leads to reduced tissue oxygenation, influenced by fluid and catecholamine administration during treatment. Hyperspectral imaging (HSI) is a non-invasive bedside technol...
A comprehensive health assessment approach using ensemble deep learning model for remote patient monitoring with IoT.
Scientific reports
Jul 8, 2024
The goal of this research is to create an ensemble deep learning model for Internet of Things (IoT) applications that specifically target remote patient monitoring (RPM) by integrating long short-term memory (LSTM) networks and convolutional neural n...
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