Feedback

X
Wearables for Movement Analysis in Healthcare

Wearables for Movement Analysis in Healthcare

0 Ungluers have Faved this Work
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.

This book is included in DOAB.

Why read this book? Have your say.

You must be logged in to comment.

Rights Information

Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.

Downloads

This work has been downloaded 47 times via unglue.it ebook links.
  1. 47 - pdf (CC BY) at Unglue.it.

Keywords

  • 6-min walking test
  • accelerometer
  • ACL
  • angle-angle diagrams
  • Biochemistry
  • Biology, Life Sciences
  • biomechanical phenomena
  • biomechanics analysis
  • body sensor network
  • Box and Block test
  • Bradykinesia
  • clinical
  • cyclograms
  • decision trees
  • E-textile
  • foot drop stimulation
  • Gait
  • gait analysis
  • ground reaction force
  • hand trajectories
  • hemiparesis
  • IMU
  • inertial measurement sensor
  • inertial measurement systems
  • inertial measurement unit (IMU)
  • inertial measurement units
  • inertial sensor
  • inertial sensors
  • inertial sensors network
  • Internet of Things
  • kinematic
  • kinematic data
  • kinematics
  • limb prosthesis
  • m-health
  • marker-based optoelectronic system
  • Mathematics & science
  • motion analysis
  • Motion Capture
  • motion capture validation
  • motor fluctuation
  • movement analysis
  • n/a
  • naturalistic monitoring
  • Obesity
  • older adults
  • optoelectronic system
  • orthopedic
  • parkinson’s disease
  • plantar pressure
  • real-life
  • Reference, information & interdisciplinary subjects
  • Rehabilitation
  • Reliability
  • Research & information: general
  • RGB-D sensors
  • sensory–motor gait disorders
  • smoothness
  • spatial–temporal analysis
  • spatio-temporal parameters
  • Stroke
  • Symmetry
  • symmetry index
  • upper extremity
  • upper limb
  • Validation
  • Walking
  • wearable devices
  • wearable inertial sensors
  • wearable movement sensor
  • Wearable sensors
  • wearable system

Links

DOI: 10.3390/books978-3-0365-4020-7

Editions

edition cover

Share

Copy/paste this into your site: