TY  - GEN
AU  - Capodaglio,Paolo
AU  - Cimolin,Veronica
AU  - Capodaglio,Paolo
AU  - Cimolin,Veronica
TI  - Wearables for Movement Analysis in Healthcare
SN  - books978-3-0365-4020-7
PY  - 2022///
CY  - Basel
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - Research & information: general
KW  - bicssc
KW  - Biology, life sciences
KW  - Biochemistry
KW  - gait
KW  - smoothness
KW  - older adults
KW  - accelerometer
KW  - inertial measurement unit (IMU)
KW  - upper extremity
KW  - stroke
KW  - biomechanical phenomena
KW  - kinematics
KW  - inertial measurement systems
KW  - motion analysis
KW  - wearable devices
KW  - e-textile
KW  - gait analysis
KW  - m-health
KW  - plantar pressure
KW  - validation
KW  - Internet of Things
KW  - body sensor network
KW  - inertial sensors
KW  - ground reaction force
KW  - spatio-temporal parameters
KW  - wearable sensors
KW  - decision trees
KW  - foot drop stimulation
KW  - symmetry
KW  - inertial measurement sensor
KW  - wearable inertial sensors
KW  - marker-based optoelectronic system
KW  - ACL
KW  - rehabilitation
KW  - motion capture validation
KW  - upper limb
KW  - Parkinson's disease
KW  - Box and Block test
KW  - inertial sensors network
KW  - biomechanics analysis
KW  - kinematic data
KW  - hand trajectories
KW  - kinematic
KW  - inertial measurement units
KW  - angle-angle diagrams
KW  - cyclograms
KW  - obesity
KW  - bradykinesia
KW  - real-life
KW  - naturalistic monitoring
KW  - motor fluctuation
KW  - wearable movement sensor
KW  - IMU
KW  - motion capture
KW  - reliability
KW  - clinical
KW  - orthopedic
KW  - sensory-motor gait disorders
KW  - limb prosthesis
KW  - spatial-temporal analysis
KW  - symmetry index
KW  - walking
KW  - 6-min walking test
KW  - wearable system
KW  - inertial sensor
KW  - RGB-D sensors
KW  - optoelectronic system
KW  - movement analysis
KW  - hemiparesis
KW  - n/a
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/5519
UR  - https://directory.doabooks.org/handle/20.500.12854/84536
ER  -