Wearables for Movement Analysis in Healthcare

Quantitative movement analysis is widely used in clinical practice and research to investigate movement disorders objectively and in a complete way. Conventionally, body segment kinematic and kinetic parameters are measured in gait laboratories using marker-based optoelectronic systems, force plates...

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Year of Publication:2022
Language:English
Physical Description:1 electronic resource (252 p.)
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collection bib_alma
record_format marc
spelling Capodaglio, Paolo edt
Wearables for Movement Analysis in Healthcare
Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
1 electronic resource (252 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Quantitative movement analysis is widely used in clinical practice and research to investigate movement disorders objectively and in a complete way. Conventionally, body segment kinematic and kinetic parameters are measured in gait laboratories using marker-based optoelectronic systems, force plates, and electromyographic systems. Although movement analyses are considered accurate, the availability of specific laboratories, high costs, and dependency on trained users sometimes limit its use in clinical practice. A variety of compact wearable sensors are available today and have allowed researchers and clinicians to pursue applications in which individuals are monitored in their homes and in community settings within different fields of study, such movement analysis. Wearable sensors may thus contribute to the implementation of quantitative movement analyses even during out-patient use to reduce evaluation times and to provide objective, quantifiable data on the patients’ capabilities, unobtrusively and continuously, for clinical purposes.
English
Research & information: general bicssc
Biology, life sciences bicssc
Biochemistry bicssc
gait
smoothness
older adults
accelerometer
inertial measurement unit (IMU)
upper extremity
stroke
biomechanical phenomena
kinematics
inertial measurement systems
motion analysis
wearable devices
e-textile
gait analysis
m-health
plantar pressure
validation
Internet of Things
body sensor network
inertial sensors
ground reaction force
spatio-temporal parameters
wearable sensors
decision trees
foot drop stimulation
symmetry
inertial measurement sensor
wearable inertial sensors
marker-based optoelectronic system
ACL
rehabilitation
motion capture validation
upper limb
Parkinson's disease
Box and Block test
inertial sensors network
biomechanics analysis
kinematic data
hand trajectories
kinematic
inertial measurement units
angle-angle diagrams
cyclograms
obesity
bradykinesia
real-life
naturalistic monitoring
motor fluctuation
wearable movement sensor
IMU
motion capture
reliability
clinical
orthopedic
sensory-motor gait disorders
limb prosthesis
spatial-temporal analysis
symmetry index
walking
6-min walking test
wearable system
inertial sensor
RGB-D sensors
optoelectronic system
movement analysis
hemiparesis
3-0365-4019-9
3-0365-4020-2
Cimolin, Veronica edt
Capodaglio, Paolo oth
Cimolin, Veronica oth
language English
format eBook
author2 Cimolin, Veronica
Capodaglio, Paolo
Cimolin, Veronica
author_facet Cimolin, Veronica
Capodaglio, Paolo
Cimolin, Veronica
author2_variant p c pc
v c vc
author2_role HerausgeberIn
Sonstige
Sonstige
title Wearables for Movement Analysis in Healthcare
spellingShingle Wearables for Movement Analysis in Healthcare
title_full Wearables for Movement Analysis in Healthcare
title_fullStr Wearables for Movement Analysis in Healthcare
title_full_unstemmed Wearables for Movement Analysis in Healthcare
title_auth Wearables for Movement Analysis in Healthcare
title_new Wearables for Movement Analysis in Healthcare
title_sort wearables for movement analysis in healthcare
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2022
physical 1 electronic resource (252 p.)
isbn 3-0365-4019-9
3-0365-4020-2
illustrated Not Illustrated
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