Wearables for Movement Analysis in Healthcare

• Format: eBook
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: Biochemistry; Biology, life sciences; Research and information: general; 6-min walking test; accelerometer; ACL; angle-angle diagrams; 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; 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; rehabilitation; reliability; 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
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (252 p.)
• ISBN: 9783036540191; 9783036540207; books978-3-0365-4020-7
• Access: Open Access

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.