IEEE

Deep Learning for Electromyographic Lower-Limb Motion Signal Classification Using Residual Learning

Abstract: Electromyographic (EMG) signals have gained popularity for controlling prostheses and exoskeletons, particularly in the field of upper limbs for stroke patients. However, there is a lack of ...
BMJ

Prevention strategies for lower extremity injury: a systematic review and meta-analyses for the Female, woman and/or girl Athlete Injury pRevention (FAIR) consensus

Objective Examine the effectiveness and unintended consequences of prevention strategies for reducing female/woman/girl athletes’ lower extremity (LE) injuries. Design Systematic review with ...
Scientific Research Publishing

Sudden Paraplegia Revealed Acute Aortic Dissection Type A with Adamkiewicz Artery’s Involvement: A Congolese Case Report ()

Aortic dissection with neurological symptoms is a usual presentation and rare condition. It poses a major diagnostic challenge due to the risk of misdiagnosis and worse prognosis (functional or vital) ...
IEEE

Lower Limb Movement Recognition Based on a Hybrid Deep Learning Model Using Surface Electromyography

Abstract: In the fields of intelligent rehabilitation and human-computer interaction, the accurate recognition of lower limb motion patterns is crucial for achieving efficient assistance and precise ...
KWWL

Phantom Neuro Officially Opens Its Much-Anticipated Patient Registry to Connect Amputees with Future Clinical Opportunities

AUSTIN, Texas, Nov. 24, 2025 /PRNewswire/ -- Phantom Neuro, the neurotechnology company developing minimally invasive neural interfaces for intuitive prosthetic control, today announces the formal ...