Analysis of Pelvis and Lower Limb Coordination in Stroke Patients Using Smartphone-Based Motion Capture

Information Science, Automation, Medicine, Neurology, Life Sciences, Bioengineering,
smartphone video   musculoskeletal multibody modelling   intersegment coordination   hemiplegic gait  

Analysis of Pelvis and Lower Limb Coordination in Stroke Patients Using Smartphone-Based Motion Capture Technology Academic Background Stroke is one of the diseases with the highest incidence, disability, and mortality rates worldwide, with up to 15 million new cases each year. Among them, 20%-30% of stroke patients develop hemiplegic gait, which i...

Two-source Validation of Online Surface EMG Decomposition Using Progressive FastICA Peel-off

Engineering, Information Science, Electronic Information, Medicine, Neurology, Life Sciences, Bioengineering,
surface electromyogram   online decomposition   progressive FastICA peel-off   two-source validation   motor unit  

Two-Source Validation Study of Online Surface Electromyogram Decomposition Academic Background Surface electromyogram (SEMG) signals are crucial representations of muscle activity and are widely used in fields such as sports rehabilitation, robotic control, and human-machine interaction. However, SEMG signals are challenging to decompose due to the...

A Novel Mutual Information-Based Approach for Neurophysiological Characterization of Sense of Presence in Virtual Reality

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
Virtual Reality   Sense of Presence   Neurophysiology   Mutual Information   Physiological Signals  

Sense of Presence in Virtual Reality: Exploration and Validation of Neurophysiological Markers Background Introduction In recent years, Virtual Reality (VR) technology has been widely applied in fields such as medicine, training, and rehabilitation. The core of VR lies in the user’s “sense of presence,” which refers to the immersive experience of “...

Unsupervised Accuracy Estimation for Brain-Computer Interfaces Based on Selective Auditory Attention Decoding

Engineering, Electrical Engineering, Information Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
Brain-Computer Interface   Selective Auditory Attention Decoding   Unsupervised Accuracy Estimation   Stimulus Reconstruction   Neurofeedback  

Unsupervised Accuracy Estimation for Brain-Computer Interfaces Based on Selective Auditory Attention Decoding Academic Background In complex auditory environments, humans can selectively focus on a specific sound source while ignoring other interfering sounds—a phenomenon known as the “cocktail party effect.” Selective Auditory Attention Decoding (...

Multi-scale and Multi-level Feature Assessment Framework for Classification of Parkinson’s Disease State from Short-term Motor Tasks

Information Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
Parkinson’s disease   feature assessment   machine learning   wearable devices   short-term motor tasks  

Academic Background Parkinson’s Disease (PD) is the second most common chronic neurodegenerative disease, primarily affecting individuals aged 65 and above. With the global population aging, the prevalence of Parkinson’s disease is projected to increase from 7 million in 2015 to 13 million by 2040. Currently, the diagnosis of Parkinson’s disease ma...

A Quantitative Comparison of Electrode Positions for Respiratory Surface EMG

Medicine, Respiratory System, Neurology, Life Sciences, Bioengineering,
respiratory surface EMG   electrode positioning   quantitative comparison   clinical research   standardization  

A Quantitative Comparison Study of Electrode Positions for Respiratory Surface Electromyography Academic Background Respiratory surface electromyography (SEMG) is a non-invasive technique used to record the electrical activity of respiratory muscles. It is widely applied in analyzing respiratory effort, patient-ventilator asynchrony, and respirator...