Sports Medicine

Smart and Assistive Walker - ASBGo: Rehabilitation Robotics: A Smart-Walker to Assist Ataxic Patients.

Locomotion is an important human faculty that affects an individual's life, bringing not only physical and psychosocial implications but also heavy social-economic consequences. Thus, it becomes paramount to find means (augmentative/assistive devices) to empower the user's residual capacities and promote functional recovery.In this context, a smart walker (SW) is explored for further clinical eval...

Animal Bite in a 6-month-old Child and Facial Injury with Associated Unusual Nasal Injury: Management of Injuries along with 1-year Follow-up.

UNLABELLED: In children, accidental injuries (AI) are the most common cause of major trauma. Although rare, nonaccidental injuries (NAI) can also cause major trauma. Among NAI, animal bites form a significant fraction. Animal bites form a significant fraction of NAI in children. Amongst animal bites, dog and cat bites are the most common. In adults, the likelihood of bites is on leg/thigh but in c...

Bacillus methylotrophicus ASWU-C2, a strain inhabiting hot desert soil, a new source for antibacterial bacillopyrone, pyrophen, and cyclopeptides.

A strain of Bacillus methylotrophicus was isolated from a soil sample collected in Aswan eastern desert, which is known for its extremely arid climate...

Efficacy, chondrotoxicity and plasma concentrations of tramadol following intra-articular administration in horses undergoing arthroscopy: preliminary findings.

Intra-articular administration of analgesics is performed to ensure good perioperative pain management avoiding undesirable systemic effects. To evalu...

Dexamethasone Versus Ketamine in the Interscalene Block in Patients Undergoing Arthroscopic Shoulder Surgery: A Randomized Double-Blinded Study.

OBJECTIVE: Arthroscopic shoulder surgery (ASS) is often followed by severe pain. Interscalene brachial plexus block (ISB) was used to relieve such pai...

Technology in geriatrics.

Recently, the interest of industry, government agencies and healthcare professionals in technology for aging people has increased. The challenge is wh...

Machine-learning analysis outperforms conventional statistical models and CT classification systems in predicting 6-month outcomes in pediatric patients sustaining traumatic brain injury.

OBJECTIVEModern surgical planning and prognostication requires the most accurate outcomes data to practice evidence-based medicine. For clinicians tre...

[Big data and deep learning in preventive and rehabilitation medicine].

The digitalization in medicine has led to almost universal availability of information to different healthcare professionals and accelerated clinical ...

Adaptation, Artificial Intelligence, and Physical Medicine and Rehabilitation.

Adaptation, cooperation, and trust are at the center of rehabilitation. Artificial intelligence and robots enhance adaptation with guidance for moveme...

Exoskeleton and End-Effector Robots for Upper and Lower Limbs Rehabilitation: Narrative Review.

Recovery of upper and lower limbs function is essential to reach independence in daily activities in patients with upper motor neuron syndrome (UMNS)....

Robotic and Sensor Technology for Upper Limb Rehabilitation.

Robotic and sensor-based neurologic rehabilitation for the upper limb is an established concept for motor learning and is recommended in many national...

The economic cost of robotic rehabilitation for adult stroke patients: a systematic review protocol.

The objective of this review is to identify the best available evidence on the economic cost of robotic rehabilitation for adult stroke patients to im...

A hybrid active force control of a lower limb exoskeleton for gait rehabilitation.

Owing to the increasing demand for rehabilitation services, robotics have been engaged in addressing the drawbacks of conventional rehabilitation ther...

Effects of newly developed compact robot-aided upper extremity training system (Neuro-X®) in patients with stroke: A pilot study.

OBJECTIVE: Robot-assisted rehabilitation therapy of the upper extremity after stroke has been studied widely; however, robotic devices remain expensiv...

Robotic Rehabilitation and Spinal Cord Injury: a Narrative Review.

Mobility after spinal cord injury (SCI) is among the top goals of recovery and improvement in quality of life. Those with tetraplegia rank hand functi...

Unsupervised Phase Learning and Extraction from Repetitive Movements.

Phase extraction from repetitive movements is one crucial part in various applications such as interactive robotics, physical rehabilitation, or gait ...

A machine learning approach to targeted balance rehabilitation in people with Parkinson's disease using a sparse sensor set.

Clinical Balance Assessments Often Rely On Functional Tasks As A Proxy For Balance (E.G., Timed Up And Go). In Contrast, Analyses Of Balance In Resear...

A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI.

Mild traumatic brain injury is a growing public health problem with an estimated incidence of over 1.7 million people annually in US. Diagnosis is bas...

Comparing Physical Human-Robot Interaction with Spring-and Elastomer-Based Series Elastic Actuators.

Physical human-robot interaction (pHRI) is an important consideration in the design of rehabilitation exoskeletons. Series Elastic Actuators (SEAs) ar...

Modified Computed Torque Control of a Robotic Orthosis for Gait Rehabilitation.

Rehabilitation robots may help the patient improve their recovery by supporting them to perform repetitive, systematic training sessions. Safety and c...