AI Medical Compendium Topic:
Biomechanical Phenomena

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Kinematic measures for upper limb robot-assisted therapy following stroke and correlations with clinical outcome measures: A review.

Medical engineering & physics
AIM OF THE STUDY: This review classifies the kinematic measures used to evaluate post-stroke motor impairment following upper limb robot-assisted rehabilitation and investigates their correlations with clinical outcome measures.

Assessment of cortical bone fracture resistance curves by fusing artificial neural networks and linear regression.

Computer methods in biomechanics and biomedical engineering
Bone injures (BI) represents one of the major health problems, together with cancer and cardiovascular diseases. Assessment of the risks associated with BI is nontrivial since fragility of human cortical bone is varying with age. Due to restrictions ...

IMU-to-Segment Assignment and Orientation Alignment for the Lower Body Using Deep Learning.

Sensors (Basel, Switzerland)
Human body motion analysis based on wearable inertial measurement units (IMUs) receives a lot of attention from both the research community and the and industrial community. This is due to the significant role in, for instance, mobile health systems,...

An overview of robotic/mechanical devices for post-stroke thumb rehabilitation.

Disability and rehabilitation. Assistive technology
PURPOSE: This article aims to clarify the current state-of-the-art of robotic/mechanical devices for post-stroke thumb rehabilitation as well as the anatomical characteristics and motions of the thumb that are crucial for the development of any devic...

Using optical tracking for kinematic testing of medical robots.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: In image-guided robotic interventions, an error component is related to the positioning error of the manipulator. Therefore, measuring the kinematic error is required during robot development. However, no specialized measurement device ex...

Motor modules during adaptation to walking in a powered ankle exoskeleton.

Journal of neuroengineering and rehabilitation
BACKGROUND: Modules of muscle recruitment can be extracted from electromyography (EMG) during motions, such as walking, running, and swimming, to identify key features of muscle coordination. These features may provide insight into gait adaptation as...

Automatic Classification of Sub-Techniques in Classical Cross-Country Skiing Using a Machine Learning Algorithm on Micro-Sensor Data.

Sensors (Basel, Switzerland)
The automatic classification of sub-techniques in classical cross-country skiing provides unique possibilities for analyzing the biomechanical aspects of outdoor skiing. This is currently possible due to the miniaturization and flexibility of wearabl...

Maintaining stable transfemoral amputee gait on level, sloped and simulated uneven conditions in a virtual environment.

Disability and rehabilitation. Assistive technology
PURPOSE: Describe and quantify how people with transfemoral amputations (TFA) maintain stable gait over a variety of surfaces; including, downhill and uphill, top and bottom-cross-slopes, medial-lateral translations, rolling hills and simulated rocky...

Intra-articular collagenase injection increases range of motion in a rat knee flexion contracture model.

Drug design, development and therapy
OBJECTIVES: A knee joint contracture, a loss in passive range of motion (ROM), can be caused by prolonged immobility. In a rat knee immobilization flexion contracture model, the posterior capsule was shown to contribute to an irreversible limitation ...

Detection of American Football Head Impacts Using Biomechanical Features and Support Vector Machine Classification.

Scientific reports
Accumulation of head impacts may contribute to acute and long-term brain trauma. Wearable sensors can measure impact exposure, yet current sensors do not have validated impact detection methods for accurate exposure monitoring. Here we demonstrate a ...