Sports Medicine

HD-sEMG-Based Control Using Neck Muscles and Shallow Neural Networks: Assessing Performance in Rehabilitation-Oriented Tasks.

This paper investigated the suitability of the integrated Recursive Rehabilitation Control Network (RRC-Net)/ High-Density Electrode Array (HDE-Array) system for performing two multi-Degree of Freedom (DoF) control tasks, developed as proxies for Functional Electrical Stimulation control: (1) a cursor-based task and (2) a 3-DoF hand kinematic model control task. The goal of this study is enhancing...

Interpretable Machine Learning for Stroke Recovery: Predicting Discharge and 3-Month Functional Outcomes.

IntroductionStroke is a leading cause of disability worldwide. This study uses Machine Learning models to investigate factors influencing modified Rankin Scale scores at discharge and three months post-discharge.MethodsData from 116 stroke patients were analyzed using four predictive models: Logistic Regression, Support Vector Machine, Random Forest, and Extreme Gradient Boosting (XGB). Shapley Ad...

AI-assisted cryo-dose estimation and tissue injury modeling for assessing side effects in MRI-guided prostate cryoablation: a retrospective study.

Focal therapy offers a middle ground between active surveillance and whole-gland treatment for patients with low- and intermediate-risk prostate ...

Artificial intelligence in head and neck cancer rehabilitation services: current state and future perspectives.

PURPOSE OF REVIEW: This review evaluates the current state of artificial intelligence (AI) in head and neck cancer (HNC) rehabilitation services by ma...

Self-supervised ultrasound B-mode strain elastography using SMURF.

Displacement tracking is an integral part of ultrasound strain elastography (USE) and various approaches have been proposed over the last three decade...

The effect of robot-assisted gait training on physical activity outcomes in people with spinal cord injury: A systematic review.

ObjectiveTo summarise the evidence for changes in physical activity outcomes during robot-assisted gait training in patients with spinal cord injury.D...

Morphology-adaptive Au-Ag nanowire elastronics for integrated FlexoSERS and bioelectrical sensing.

We introduce a morphology-adaptive Au-Ag nanowire elastronic platform that conforms to diverse geometries while enabling multimodal optical-electrical...

Advancing physical activity monitoring through bioimpedance measurement: a review.

Bioimpedance measurements have gained significant attention due to their ability to assess body composition, muscle health, and internal physiological...

Optimization and External Validation of a Deep Learning Model for Segmentation and Quantification of Traumatic Brain Injury Lesions on Head Computed Tomography.

Current methods for radiological classification in traumatic brain injury (TBI), such as the Marshall and Rotterdam score, provide an incomplete descr...

Efficacy and neural mechanisms of a vibrotactile-enhanced, brain-controlled soft robotic glove for upper limb rehabilitation after stroke: a multicentre randomised controlled trial protocol.

INTRODUCTION: Soft robotic gloves (SRGs) integrated with brain-computer interfaces (BCIs) have demonstrated potential in facilitating motor recovery a...

Prediction of athlete performance based on a gradient regression model.

Accurate prediction of athlete performance is a challenges issue of significance in sports science and analytics and has application in training desig...

Direct Integration of Ionic Liquid Gel Sensors onto Microfibrous Face Mask Substrates for Wearable Respiratory Health Monitoring.

Mask-integrated respiratory sensors are promising for noninvasive monitoring of respiratory health outside of clinical settings, for example, to suppo...

Physically reconfigurable synaptic plasticity and learning in stretchable neuromorphic systems.

Wearable electronics that use intrinsically stretchable organic neuromorphic devices offer a promising approach to achieve human-like on-device proces...

An overview of Parkinson's disease: a narrative review.

Parkinson's disease (PD) is a degenerative neurological condition defined by a wide range of motor and non-motor symptoms that can affect function to ...

Scoping review of AI-driven wearable technologies for rehabilitation and functional assessment in Parkinson's disease: a protocol.

BACKGROUND: Parkinson's disease (PD) is a common neurodegenerative disorder characterised by high prevalence and disability rates, severely impairing ...

Neural Vision Restoration in Ophthalmology.

Neural vision restoration is a rapidly advancing discipline at the intersection of neuroscience, bioengineering, and ophthalmology. This review synthe...

Impact of multimodal education management on postoperative rehabilitation after total knee arthroplasty: A machine learning-based prediction model study.

This study aimed to evaluate the impact of multimodal education management using illustrated pathway with video education (IPVE) on rehabilitation qua...

Effect of Brain-Computer Interface-Controlled Ankle Robot Training on Post-Stroke Motor Rehabilitation and Resting QEEG Neuroplasticity: A Randomized Controlled Trial.

BACKGROUND: Persistent post-stroke ankle impairment hinders functional recovery. Brain-computer interface (BCI)-controlled ankle robot show rehabilita...

Research on the Application Value of Blood Plasma Autofluorescence Spectroscopy Model Constructed by Machine Learning Algorithms in Identifying the Types of Post-operative Kidney Transplantation Injury.

BACKGROUND: This study aimed to assess the value of blood plasma autofluorescence spectroscopy in classifying renal injury after renal transplantation...

AI-enhanced culturally tailored intervention for Latino family caregivers of persons living with dementia: a feasibility study.

BACKGROUND AND OBJECTIVES: CONFIDENCE is a culturally tailored intervention to reduce caregiver financial strain, which disproportionately impacts Lat...