Background Upper limb kinematic assessments provide quantifiable information on
qualitative movement behavior and limitations after stroke. A comprehensive …

Stroke survivors often suffer from movement impairments that significantly affect their daily
activities. The advancements in sensor technology and IoT have provided opportunities to …

The rapidly evolving landscape of artificial intelligence (AI) and machine learning has
placed data at the forefront of healthcare innovation. Electroencephalography (EEG) has …

The interplay between cerebral and cardiovascular activity, known as the functional brain‐
heart interplay (BHI), and its temporal dynamics, have been linked to a plethora of …

In this work we introduce a new type of human-inspired upper-limb prostheses. The Artificial
Neuromuscular Prosthesis (ANP) imitates the human neuromuscular system in the sense of …

The muscle synergy is a guiding concept in motor control research that relies on the general
notion of muscles 'working together'towards task performance. However, although the …

Limb-driven control allows for direct control by using residual limb movements rather than
unnatural and complex muscle activation. Existing limb-driven methods simultaneously …

Recent advances in economic theory, largely motivated by experimental findings, have led
to the adoption of models of human behavior where decision-makers take into consideration …

Wearable sensing has emerged as a promising solution for enabling unobtrusive and
ergonomic measurements of the human motion. However, the reconstruction performance of …

Characterizing post-stroke impairments in the sensorimotor control of arm and hand is
essential to better understand altered mechanisms of movement generation. Herein, we …