Fatigue monitoring through wearables: A state-of-the-art review
NR Adão Martins, S Annaheim, CM Spengler… - Frontiers in …, 2021 - frontiersin.org
The objective measurement of fatigue is of critical relevance in areas such as occupational
health and safety as fatigue impairs cognitive and motor performance, thus reducing …
health and safety as fatigue impairs cognitive and motor performance, thus reducing …
Neuromechanical biomarkers for robotic neurorehabilitation
One of the current challenges for translational rehabilitation research is to develop the
strategies to deliver accurate evaluation, prediction, patient selection, and decision-making …
strategies to deliver accurate evaluation, prediction, patient selection, and decision-making …
MFFNet: Multi-dimensional Feature Fusion Network based on attention mechanism for sEMG analysis to detect muscle fatigue
Y Zhang, S Chen, W Cao, P Guo, D Gao… - Expert Systems with …, 2021 - Elsevier
Muscle fatigue detection based on surface Electromyography (sEMG) is one of the essential
goals of human–computer interaction. The main challenge is that the sEMG signal is …
goals of human–computer interaction. The main challenge is that the sEMG signal is …
Maintenance 5.0: towards a worker-in-the-loop framework for resilient smart manufacturing
Due to the global uncertainty caused by social problems such as COVID-19 and the war in
Ukraine, companies have opted for the use of emerging technologies, to produce more with …
Ukraine, companies have opted for the use of emerging technologies, to produce more with …
Fatigue assessment using ECG and actigraphy sensors
Fatigue is one of the key factors in the loss of work efficiency and health-related quality of
life, and most fatigue assessment methods were based on self-reporting, which may suffer …
life, and most fatigue assessment methods were based on self-reporting, which may suffer …
A New Wrist–Forearm Rehabilitation Protocol Integrating Human Biomechanics and SVM-Based Machine Learning for Muscle Fatigue Estimation
In this research, a new remote rehabilitation system was developed that integrates an IoT-
based connected robot intended for wrist and forearm rehabilitation. In fact, the …
based connected robot intended for wrist and forearm rehabilitation. In fact, the …
The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review
MZ Hossain, E Daskalaki, A Brüstle… - BMC Medical Informatics …, 2022 - Springer
Background Multiple sclerosis (MS) is a neurological condition whose symptoms, severity,
and progression over time vary enormously among individuals. Ideally, each person living …
and progression over time vary enormously among individuals. Ideally, each person living …
Real-time forecasting of exercise-induced fatigue from wearable sensors
Although a number of studies attempt to classify human fatigue, most models can only
identify fatigue after fatigue has already occurred. In this paper, we propose a novel time …
identify fatigue after fatigue has already occurred. In this paper, we propose a novel time …
Deep learning for medical decision support systems
Deep learning is currently the biggest problem solution way and the technology side of the
field of artificial intelligence. As a result of increased uses of digital world and the digital data …
field of artificial intelligence. As a result of increased uses of digital world and the digital data …
A fatigue assessment method based on attention mechanism and surface electromyography
Surface electromyography (sEMG) signals can be used to quantitatively assess muscle
fatigue, thereby directly and objectively reflecting the functional state of neuromuscular …
fatigue, thereby directly and objectively reflecting the functional state of neuromuscular …