Altered contractile properties of the quadriceps muscle in people with spinal cord injury following functional electrical stimulated cycle training [PDF]
HL Gerrits+4 more
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Hierarchically porous covalent organic frameworks (hCOFs) are constructed using a solvothermal template‐induced synthetic strategy. Commercially available zinc oxide nanoparticles are employed as hard template enabling an increase in total pore volume in a series of COFs.
Fabian Heck+6 more
wiley +1 more source
Quadriceps muscle deoxygenation during functional electrical stimulation in adults with spinal cord injury [PDF]
Yagesh Bhambhani+4 more
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This review explores the integration of responsive materials and soft robotic actuators with implantable electronics to address key challenges in bioelectronic medicine. By enabling shape actuation, these technologies improve deployment, adaptability, and accuracy in minimally invasive procedures.
Chaoqun Dong, George G. Malliaras
wiley +1 more source
Electrical sealing, healing-over, in skeletal muscles of the guinea-pig following induced injury
Kenichiro Furukawa, Hirosi Kuriyama
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Standing and Walking After Spinal Cord Injury: Experience with the Reciprocating Gait Orthosis Powered by Electrical Muscle Stimulation [PDF]
Moshe Solomonow+2 more
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Cardiac Organoid Model Inspired Micro‐Robot Smart Patch to Treat Myocardial Infarction
The heart organoid model exhibits the acidic microenvironment characteristic of myocardial infarction, which emerges as a pivotal force propelling the movement of micro‐robots. These micro‐robots, administered through microneedles, can penetrate deep into the tissue, effectively delivering therapeutic payloads to facilitate heart repair.
Fangfang Wang+12 more
wiley +1 more source
Excessive Reflexes in Spinal Cord Injury Triggered by Electrical Stimulation [PDF]
P. Mela, P. H. Veltink, P. A. Huijing
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Machine‐Learning‐Aided Advanced Electrochemical Biosensors
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan+9 more
wiley +1 more source
Neural prostheses: clinical applications of functional electrical stimulation in spinal cord injury
P. Hunter Peckham, Graham H. Creasey
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