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Lower Extremity

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Deep Learning Segmentation of Lower Extremities Radiographs for an Automatic Leg Length Discrepancy Measurement.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Leg length measurement is relevant for the early diagnostic and treatment of discrepancies as they are related with orthopedic and biomechanical changes. Simple radiology constitutes the gold standard on which radiologists perform manual lower limb m...

An Evaluation of Hybrid Deep Learning Models for Classifying Multiple Lower Limb Actions.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Brain-computer Interfaces (BCIs) interpret electroencephalography (EEG) signals and translate them into control commands for operating external devices. The motor imagery (MI) paradigm is popular in this context. Recent research has demonstrated that...

Spring damping based control for a novel lower limb rehabilitation robot with active flexible training planning.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: During neurological rehabilitation training for patients with lower limb dysfunction, active rehabilitation training based on interactive force recognition can effectively improve participation and efficiency in rehabilitation training.

Digital twin rehabilitation system based on self-balancing lower limb exoskeleton.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: The digital twin concept is the virtual model based on entity design measures, which is used in many enterprises' virtual workshop design models for workshop production scheduling and optimization. However, in the field of medical rehabil...

Effects of a lower limb rehabilitation robot with various training modes in patients with stroke: A randomized controlled trial.

Medicine
BACKGROUND: The effect of robot-assisted gait training has been demonstrated to improve gait recovery in patients with stroke. The aim of this study was to determine effects of robot-assisted gait training with various training modes in patients post...

Detection thresholds for electrostimulation combined with robotic leg support in sub-acute stroke patients.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Stroke is one of the leading causes of disability in adults in the European Union. It often leads to motor impairments, such as a hemiparetic lower extremity. Research indicates that early task-specific and intensive training promotes neuroplasticity...

Deep Learning Method for Hip Knee Ankle Angle Prediction on Postoperative Full-Limb Radiographs of Total Knee Arthroplasty Patients.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
This study developed and evaluated deep learning models for prediction of hip knee ankle angle (HKAA) measurements on postoperative full-limb radiographs of total knee arthroplasty (TKA) patients. The process involved extracting regions of interest (...

Prediction of lower limb kinematics from vision-based system using deep learning approaches.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The joint angular velocity during daily life exercises is an important clinical outcome for injury risk index, rehabilitation progress monitoring and athlete's performance evaluation. Recently, wearable sensors have been widely used to monitor lower ...

[Gait Measurement System Using Laser Range Sensor Based on Lower-limb Rehabilitation Robot].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Spatiotemporal gait parameters provide important information for the rehabilitation of patients with gait dysfunction. These parameters are often obtained by complex systems such as optical motioncapture system and pressure plates. However, these sys...

Development of a Fuzzy Diagnostic Model of Ischemic Disease of the Lower Limbs for Different Stages of Patient Management.

Critical reviews in biomedical engineering
Ischemic disease has severe impact on patients which makes accurate diagnosis vital for health protection. Improving the quality of prediction of patients with ischemic extremity disease by using hybrid fuzzy model allows for early and accurate progn...