Tag: rehabilitation robotics

Engineering researchers have developed a hybrid optimization algorithm combining grey wolf and artificial bee colony techniques to enhance PID controller ...

A two-degree-of-freedom upper-limb exoskeleton tested on ten healthy men revealed angle-dependent, torque-scaled muscle activation patterns and systematic attenuation of muscle ...

A new review maps how artificial intelligence is being applied across stroke rehabilitation prediction, assessment, and intervention, while warning that ...

HemiBot matched motion-capture performance classifications in 120 repetitions and correctly adapted task difficulty for 16 healthy participants, but the technical ...

A hybrid EEG–EMG decoder using a BiLSTM network triggered lower-limb exoskeleton assistance faster and more accurately than either signal alone ...

A new review showcases how low-cost robotic canes, AI-based diabetic foot screening, and simple EEG analysis tested in real-world clinical ...

The choice of inertial measurement units as the primary sensing modality for this exoskeleton study reflects a broader trend in ...

Frontiers in Neurorobotics has retracted a 2022 study on machine learning-guided robotic rehabilitation beds for stroke patients after the publisher ...

NIH researchers have released BRACE, an open-source pure-Python software framework that lets clinical researchers rapidly build, control, and tune robotic ...

Soft robotics is carving a niche in the rapidly evolving landscape of wearable technology, promising not just comfort and adaptability ...

Imagine a future where individuals with physical disabilities can regain the ability to walk independently, powered by advanced robotic exoskeletons. ...