AIMC Topic: Fatigue
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Decoding IBS: a machine learning approach to psychological distress and gut-brain interaction.
BMC gastroenterology
Aug 15, 2024
PURPOSE: Irritable bowel syndrome (IBS) is a diagnosis defined by gastrointestinal (GI) symptoms like abdominal pain and changes associated with defecation. The condition is classified as a disorder of the gut-brain interaction (DGBI), and patients w...
Automatic Detection of Fatigued Gait Patterns in Older Adults: An Intelligent Portable Device Integrating Force and Inertial Measurements with Machine Learning.
Annals of biomedical engineering
Aug 13, 2024
PURPOSE: This study aimed to assess the feasibility of early detection of fatigued gait patterns for older adults through the development of a smart portable device.
Medical intelligence using PPG signals and hybrid learning at the edge to detect fatigue in physical activities.
Scientific reports
Jul 12, 2024
The educational environment plays a vital role in the development of students who participate in athletic pursuits both in terms of their physical health and their ability to detect fatigue. As a result of recent advancements in deep learning and bio...
Classification of exercise fatigue levels by multi-class SVM from ECG and HRV.
Medical & biological engineering & computing
May 6, 2024
Among the various physiological signals, electrocardiogram (ECG) is a valid criterion for the classification of various exercise fatigue. In this study, we combine features extracted by deep neural networks with linear features from ECG and heart rat...
Robotic assisted and exoskeleton gait training effect in mental health and fatigue of multiple sclerosis patients. A systematic review and a meta-analysis.
Disability and rehabilitation
Apr 14, 2024
PURPOSE: Robotic and Exoskeleton Assisted Gait Training (REAGT) has become the mainstream gait training module. Studies are investigating the psychosocial effects of REAGT mostly as secondary outcomes. Our systematic review and meta-analysis aims to ...
Modeling Fatigue in Manual and Robot-Assisted Work for Operator 5.0.
IISE transactions on occupational ergonomics and human factors
Mar 5, 2024
A novel deep-learning model based on τ-shaped convolutional network (τNet) with long short-term memory (LSTM) for physiological fatigue detection from EEG and EOG signals.
Medical & biological engineering & computing
Feb 20, 2024
In recent years, fatigue driving has become the main cause of traffic accidents, leading to increased attention towards fatigue detection systems. However, the pooling and strided convolutional operations in fatigue detection algorithm based on tradi...
Non-invasive load monitoring based on deep learning to identify unknown loads.
PloS one
Feb 9, 2024
With the rapid development of smart grids, society has become increasingly urgent to solve the problems of low energy utilization efficiency and high energy consumption. In this context, load identification has become a key element in formulating sci...
A Machine Learning Approach to Predict Post-stroke Fatigue. The Nor-COAST study.
Archives of physical medicine and rehabilitation
Jan 17, 2024
OBJECTIVE: This study aimed to predict fatigue 18 months post-stroke by utilizing comprehensive data from the acute and sub-acute phases after stroke in a machine-learning set-up.
Development of machine learning models to predict cancer-related fatigue in Dutch breast cancer survivors up to 15 years after diagnosis.
Journal of cancer survivorship : research and practice
Dec 7, 2023
PURPOSE: To prevent (chronic) cancer-related fatigue (CRF) after breast cancer, it is important to identify survivors at risk on time. In literature, factors related to CRF are identified, but not often linked to individual risks. Therefore, our aim ...
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