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INIS
signals
100%
exoskeleton
90%
hands
79%
patients
75%
motors
49%
muscles
39%
accuracy
36%
classification
36%
brain
33%
motion
30%
mpc
30%
images
30%
processing
30%
asymmetry
30%
electroencephalography
30%
lifts
30%
grabs
30%
performance
30%
layers
30%
piezoelectricity
30%
alloys
30%
shape memory effect
30%
control
25%
interfaces
24%
computers
24%
information
23%
therapy
20%
valence
20%
tendons
20%
precision
15%
graphene
15%
teflon
15%
electrical conductivity
15%
oxides
15%
carbon
15%
copper
15%
sensors
15%
inks
15%
reliability
15%
recovery
9%
amplitudes
9%
nitinol
9%
fingers
9%
limbs
9%
titanium
9%
fatigue
9%
mobility
9%
levels
9%
actuators
9%
exercise
9%
death
9%
fibers
9%
nickel
9%
decomposition
6%
tools
6%
waveforms
6%
substrates
5%
comparative evaluations
5%
allocations
5%
erbium phosphides
5%
connections
5%
resources
5%
power
5%
Keyphrases
Robotic Exoskeleton
30%
Robust Performance
30%
Nanosensor
30%
Copper Core
30%
Teflon
30%
Reduced Graphene Oxide
30%
Biocompatibility
30%
Neuromuscular Rehabilitation
30%
Piezoelectric Biosensor
30%
Electrical Characterization
30%
Performance Reliability
30%
Driving Method
30%
Piezoelectric Layer
30%
Electrical Conductivity
30%
High Reliability
30%
Characterization Tests
30%
Nano-ink
30%
Carbon-based
30%
Soft Robotic Exoskeleton
30%
Mechanical Stress
30%
Rehabilitation Activities
30%
Triboelectricity
30%
Handgrip
30%
Soft Actuation
30%
Progressive Rehabilitation
30%
Emotional Working Memory
30%
Patient Intention
15%
Muscle-like Actuation
15%
Movement Intention
15%
Memory Information
9%
Maximum Accuracy
7%