Results 71 to 80 of about 1,813,692 (285)
IntroductionActive patient participation is crucial for effective robot-assisted rehabilitation. Quantifying the user's Active Level of Participation (ALP) during therapy and developing human-robot interaction strategies that promote engagement can ...
Christian Tamantini +17 more
doaj +1 more source
Neuromotor disorders negatively affect the sensorimotor system, limiting the ability to perform daily activities autonomously. Rehabilitation of upper limb impairments is therefore essential to improve independence and quality of life.
Valeria Falzarano +3 more
doaj +1 more source
The Curious Robot - Structuring Interactive Robot Learning [PDF]
Lütkebohle I, Peltason J, Schillingmann L, et al. The Curious Robot - Structuring Interactive Robot Learning. In: International Conference on Robotics and Automation.
S. Wachsmuth +13 more
core +1 more source
Polymer‐coated IONPs functionalized with IL‐4 display respective neuroactive and anti‐inflammatory actions on neural progenitor cells and macrophages/microglia in vitro. When examined chronically in a rat experimental model of spinal cord injury, rGO scaffolds carrying these nanosystems adequately integrate into the lesion, significantly reduce ...
Julia Martínez‐Ramírez +12 more
wiley +1 more source
This randomized controlled study evaluated the psychological, functional, and neurobiological effects of repetitive transcranial magnetic stimulation (rTMS) combined with intelligent robot-assisted rehabilitation in patients with post-stroke depression ...
Yanan Gao +5 more
doaj +1 more source
Bioprinted Stiffness‑Tunable Pancreatic Microniches to Decode Early Tumor Initiation Mechanisms
Stiffness‐tunable GelMA microniches generated by microvalve bioprinting preserve wild‐type acinar identity while revealing a nonlinear, Kras‐dependent response to matrix mechanics. Intermediate stiffness promotes acinar‐to‐ductal metaplasia and proliferation, defining a permissive mechanical window.
Aurelien Mazet +11 more
wiley +1 more source
Detection of intention level in response to task difficulty from EEG signals [PDF]
We present an approach that enables detecting intention levels of subjects in response to task difficulty utilizing an electroencephalogram (EEG) based brain-computer interface (BCI).
Elif Hocaoglu +7 more
core +1 more source
A chemically defined PEG‐based microgel platform enables scalable, reproducible production of three‐dimensional microgel‐iPSC constructs in multiple sizes. The system is compatible with high‐throughput automation and supports human iPSC expansion and differentiation within a single construct, including directed differentiation into cardiac organoids ...
Laura Klasen +8 more
wiley +1 more source
This study introduces a new Reinforcement Learning Assist-as-Needed (RL-AAN) controller intended for robot-assisted upper-limb rehabilitation after stroke, which leverages a modified action-dependent heuristic dynamic programming (ADHDP) framework ...
Andy Li +4 more
doaj +1 more source
Analysis of force feedback mirror-assisted strategy based on adaptive impedance control [PDF]
When rehabilitation robots assist patients with unilateral upper-limb motor dysfunction in mirror-assisted exercise training, the lack of bilateral tactile feedback may lead to secondary injury on the affected side.
Q. Sun +5 more
doaj +1 more source

