Toward Personalized Orthopedic Care: Validation of a Smart Knee Brace.

Introduction: Wearable technology offers a promising solution to advance current rehabilitation strategies for post-operative orthopedic care. The aim of this study was to determine the level of agreement and concurrent validity of a smart knee brace compared to the gold standard measurement system GAITRite for assessing lower limb gait parameters.

Methods: Thirty-four healthy participants were fitted with the smart knee brace (Digital Knee) on their dominant limb.

Review of functional materials for potential use as wearable infection sensors in limb prostheses.

The fundamental goal of prosthesis is to achieve optimal levels of performance and enhance the quality of life of amputees. Socket type prostheses have been widely employed despite their known drawbacks. More recently, the advent of osseointegrated prostheses have demonstrated potential to be a better alternative to socket prosthesis eliminating most of the drawbacks of the latter.

Experimental Investigation into the Dynamics of a Radially Contracting Actuator with Embedded Sensing Capability.

Dynamics, control, and sensing are still challenges for pneumatically actuated soft actuators. We consider feasible solutions based on a radially contracting actuator to overcome these challenges. The radially contracting actuator was inspired by the movement of the stomach wall.

A Learning Scheme for EMG Based Decoding of Dexterous, In-Hand Manipulation Motions.

Electromyography (EMG) based interfaces are the most common solutions for the control of robotic, orthotic, prosthetic, assistive, and rehabilitation devices, translating myoelectric activations into meaningful actions. Over the last years, a lot of emphasis has been put into the EMG based decoding of human intention, but very few studies have been carried out focusing on the continuous decoding of human motion. In this work, we present a learning scheme for the EMG based decoding of object motions in dexterous, in-hand manipulation tasks.

On Muscle Selection for EMG Based Decoding of Dexterous, In-Hand Manipulation Motions.

The field of Brain Machine Interfaces (BMI) has attracted an increased interest due to its multiple applications in the health and entertainment domains. A BMI enables a direct interface between the brain and machines and is capable of translating neuronal information into meaningful actions (e.g.

Profiling of headspace volatiles from Escherichia coli cultures using silicone-based sorptive media and thermal desorption GC-MS.

Headspace sorptive extraction technique using silicone based sorptive media coated stir bars is used for the first time here to extract, identify, and quantify heavy volatile organic compounds present in Escherichia coli culture headspace. Detection of infection presence is largely accomplished in laboratories through physical sampling and subsequent growth of cultures for biochemical testing. The use of volatile biomarkers released from pathogens as indicators for pathogenic presence can vastly reduce the time needed whilst improving the success rates for infection detection.

Soft-stop knee brace for rehabilitation from ligament injuries: Design and pilot trial.

Ligaments within the human knee are commonly torn or injured as a result of sports that involve sharp direction changes, pivoting and landing. For this reason, athletes are often side-lined from their respective sports for up to 18 months after injury to rehabilitate. As part of the rehabilitation process, knee braces are often prescribed in an attempt to decrease the recovery period of the injured individual by restraining and minimizing the motion at the knee.