AIMC Topic: Monitoring, Physiologic

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Rapidly self-healing electronic skin for machine learning-assisted physiological and movement evaluation.

Science advances Feb 12, 2025
Emerging electronic skins (E-Skins) offer continuous, real-time electrophysiological monitoring. However, daily mechanical scratches compromise their functionality, underscoring urgent need for self-healing E-Skins resistant to mechanical damage. Cur...
Humans Machine Learning Skin Movement Wearable Electronic Devices Monitoring, Physiologic
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A deep learning-enabled smart garment for accurate and versatile monitoring of sleep conditions in daily life.

Proceedings of the National Academy of Sciences of the United States of America Feb 11, 2025
In wearable smart systems, continuous monitoring and accurate classification of different sleep-related conditions are critical for enhancing sleep quality and preventing sleep-related chronic conditions. However, the requirements for device-skin cou...
Clothing Textiles Monitoring, Physiologic Sleep Humans Female Male Adult Deep Learning Wearable Electronic Devices
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Towards Hardware Supported Domain Generalization in DNN-Based Edge Computing Devices for Health Monitoring.

IEEE transactions on biomedical circuits and systems Feb 11, 2025
Deep neural network (DNN) models have shown remarkable success in many real-world scenarios, such as object detection and classification. Unfortunately, these models are not yet widely adopted in health monitoring due to exceptionally high requiremen...
Humans Electrocardiography Monitoring, Physiologic Signal Processing, Computer-Assisted Neural Networks, Computer Algorithms Wearable Electronic Devices
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CLUMM: Contrastive Learning for Unobtrusive Motion Monitoring.

Sensors (Basel, Switzerland) Feb 10, 2025
Traditional approaches for human monitoring and motion recognition often rely on wearable sensors, which, while effective, are obtrusive and cause significant discomfort to workers. More recent approaches have employed unobtrusive, real-time sensing ...
Machine Learning Algorithms Deep Learning Humans Movement Wearable Electronic Devices Monitoring, Physiologic Motion
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Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective.

Journal of medical Internet research Jan 31, 2025
Continuous monitoring of patients' health facilitated by artificial intelligence (AI) has enhanced the quality of health care, that is, the ability to access effective care. However, AI monitoring often encounters resistance to adoption by decision m...
Emotions Monitoring, Physiologic Humans Artificial Intelligence
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Machine-Learning-Based Activity Tracking for Individual Pig Monitoring in Experimental Facilities for Improved Animal Welfare in Research.

Sensors (Basel, Switzerland) Jan 28, 2025
In experimental research, animal welfare should always be of the highest priority. Currently, physical in-person observations are the standard. This is time-consuming, and results are subjective. Video-based machine learning models for monitoring exp...
Swine Machine Learning Monitoring, Physiologic Animals Video Recording Animal Welfare Behavior, Animal
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A noninvasive hyperkalemia monitoring system for dialysis patients based on a 1D-CNN model and single-lead ECG from wearable devices.

Scientific reports Jan 23, 2025
This study aimed to develop a real-time, noninvasive hyperkalemia monitoring system for dialysis patients with chronic kidney disease. Hyperkalemia, common in dialysis patients, can lead to life-threatening arrhythmias or sudden death if untreated. T...
Electrocardiography Renal Insufficiency, Chronic Monitoring, Physiologic Neural Networks, Computer Renal Dialysis Signal Processing, Computer-Assisted Wearable Electronic Devices Hyperkalemia Humans
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Addressing Missing Data Challenges in Geriatric Health Monitoring: A Study of Statistical and Machine Learning Imputation Methods.

Sensors (Basel, Switzerland) Jan 21, 2025
In geriatric healthcare, missing data pose significant challenges, especially in systems used for frailty monitoring in elderly individuals. This study explores advanced imputation techniques used to enhance data quality and maintain model performanc...
Support Vector Machine Monitoring, Physiologic Frailty Humans Geriatrics Bayes Theorem Machine Learning Aged Algorithms
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Using Inertial Measurement Units and Machine Learning to Classify Body Positions of Adults in a Hospital Bed.

Sensors (Basel, Switzerland) Jan 16, 2025
In hospitals, timely interventions can prevent avoidable clinical deterioration. Early recognition of deterioration is vital to stopping further decline. Measuring the way patients position themselves in bed and change their positions may signal when...
Support Vector Machine Monitoring, Physiologic Posture Wrist Movement Adult Male Hospitals Machine Learning Female Humans Beds
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Interpretable machine learning models for COPD ease of breathing estimation.

Medical & biological engineering & computing Jan 14, 2025
Chronic obstructive pulmonary disease (COPD) is a leading cause of death worldwide and greatly reduces the quality of life. Utilizing remote monitoring has been shown to improve quality of life and reduce exacerbations, but remains an ongoing area of...
Respiration Middle Aged Quality of Life Wearable Electronic Devices Monitoring, Physiologic Signal Processing, Computer-Assisted Aged Pulmonary Disease, Chronic Obstructive Male Machine Learning Female Humans
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