Sports Medicine

ARIMA-based forecasting of cerebral physiologic signals in acute traumatic brain injury: a CAnadian high-resolution TBI (CAHR-TBI) cohort study.

BACKGROUND: Traumatic brain injury (TBI) remains a major global health issue, with limited progress in reducing morbidity and mortality for TBI patients in need of sedation and intensive care. This has led to increased focus on the mechanisms of secondary brain injury, typically monitored via high-frequency, multi-modal physiologic data reflecting pressure flow and oxygen delivery. However, the co...

Intelligent System for Upper Limb Motor Assessment using Inertial Sensors and Machine Learning for Telerehabilitation Therapies.

Neurological injuries can lead to a significant disability, particularly in upper limb motor function, impairing patients' ability to perform Activities of Daily Living (ADLs). Telerehabilitation has emerged as a promising solution for remote patient monitoring and rehabilitation. Hence, there is a need to develop technologies to facilitate the patient assessment process remotely. This study prese...

Evaluating resolution requirements for subtle caenorhabditis elegans strain discrimination using classical descriptors and CNN-transformer models.

Accurately distinguishing subtle phenotypic differences between Caenorhabditis elegans strains remains a major challenge in functional genetics and be...

Telerehabilitation of chronic low back pain: protocol of a systematic review and network meta-analysis.

BACKGROUND: Chronic low back pain (CLBP) is among the most disabling musculoskeletal disorders worldwide. Traditional in-person rehabilitation is ofte...

Integrating multimodal data and deep learning for functional assessment and rehabilitation prediction after cerebral hemorrhage.

BACKGROUND: Intracerebral hemorrhage (ICH) is a leading cause of long-term disability, particularly in China. Post-stroke motor recovery exhibits cons...

Soft Prescribed Performance-Based Reinforcement Learning Control for a PAM-Actuated Rehabilitation Exoskeleton.

In a rehabilitation exoskeleton, stable and safe operation is of central importance in rehabilitation training. This article develops a soft prescribe...

Foot Progression Angle Modulates Three-Dimensional Lower-Limb Biomechanics in Flexible Flatfoot: Kinematic-Kinetic Patterns and Clinical Implications.

INTRODUCTION: Foot progression angle affects gait and lowerlimb alignment. Altered angles may increase knee and ankle loading and produce tissue loadi...

InclusiveHAR: A smartphone-based dataset for human activity recognition across diverse physical abilities.

Human Activity Recognition (HAR) has numerous applications in healthcare, rehabilitation, athletics, and smart environments. Effective AI models rely ...

Efficacy of Robot-Assisted Training Plus Acupuncture Therapy on Lower Limb Functional Recovery in Stroke Patients: A Systematic Review and Meta-Analysis.

PurposeTo assess the effectiveness of robot-assisted training (RAT) plus acupuncture therapy (AT) on lower limb functional recovery in stroke patients...

Identification and validation of key PANoptosis-related genes via integrative machine learning and single-cell sequencing in AILI.

Acetaminophen (APAP) overdose is a leading cause of drug-induced liver injury and acute liver failure. PANoptosis, a recently defined form of programm...

Liquid Metal-Initiated Rapid Polymerization for High-Performance Organic-Ionogels in Wearable Sensors.

Gel-based materials are promising candidates for flexible sensors in wearable health monitoring owing to their inherent flexibility, conductivity, and...

The current progress of active compliance control strategies and applications in lower limb exoskeleton rehabilitation robot: a narrative review.

INTRODUCTION: With the increasing requirements for performance and safety of lower limb exoskeleton rehabilitation robots, researchers are exploring v...

Data or Deception: Imposter Participants in Online Qualitative Research.

Online recruitment and data collection in qualitative research grew significantly during the COVID-19 pandemic, revealing a host of benefits including...

Dual-scale bionic sensor with high stretchability for AI-enabled squatting motion monitoring.

Real-time monitoring of knee flexion during sports is critical for injury prevention, yet precise measurement remains challenging due to large flexion...

Strategies for Exoskeletal Upper Limb Robot with Bio-Sensors in Stroke Rehabilitation: A Scoping Review.

Background: Upper extremity motor impairment is common after stroke. The Hybrid Assistive Limb single-joint type (HAL-SJ), an exoskeletal robot with b...

Exploring the role of phage resistance by using label-free SERS for biochemical profiling of gram-negative pathogen Pseudomonas aeruginosa strains with machine learning approach.

Pseudomonas aeruginosa (P. aeruginosa) is an emerging gram-negative pathogen, accountable for diverse and chronic nosocomial infections, particularly ...

Explainable AI for gait speed analysis from multimodal data fusion.

Gait speed analysis is vital for applications in healthcare, rehabilitation, human-robot interaction, and autonomous systems, necessitating robust met...

Multi-dimensional dynamic monitoring of gut microbiota-emotion axis and precision exercise intervention in compulsory drug rehabilitation: A 24-week randomized controlled trial.

BACKGROUND/OBJECTIVES: Substance use disorders (SUDs) present a global health challenge with high relapse rates. Emerging evidence implicates gut micr...

Using Data and Artificial Intelligence to Improve Care Pathways of Older People Experiencing Falls and Frailty: Opportunities, Challenges, and Practical Considerations for Clinicians.

Older people living with falls and frailty are common in emergency attendances, admissions and functional decline. Artificial intelligence (AI) and ma...

AI-Enabled Wearables for Motor Function Assessment and Rehabilitation in Parkinson Disease: Scoping Review.

BACKGROUND: Artificial intelligence (AI)-enabled wearable devices are rapidly emerging in rehabilitation and motor function assessment for patients wi...