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...
Furkejuvvon:
| Materiálatiipa: | Online |
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| Giella: | eaŋgalasgiella |
| Almmustuhtton: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Fáttát: | |
| Liŋkkat: | ONIX_20220621_9783036540191_114 |
| Fáddágilkorat: |
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| _version_ | 1869528864662749184 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-84536 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-845362024-03-28T03:31:13Z Wearables for Movement Analysis in Healthcare Capodaglio, Paolo Cimolin, Veronica 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 n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSB Biochemistry 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. 2022-06-21T08:41:06Z 2022-06-21T08:41:06Z 2022 book ONIX_20220621_9783036540191_114 9783036540191 9783036540207 https://directory.doabooks.org/handle/20.500.12854/84536 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/5519 https://mdpi.com/books/pdfview/book/5519 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-4020-7 10.3390/books978-3-0365-4020-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036540191 9783036540207 252 Basel open access |
| spellingShingle | 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 n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSB Biochemistry Wearables for Movement Analysis in Healthcare |
| title | 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_short | Wearables for Movement Analysis in Healthcare |
| title_sort | wearables for movement analysis in healthcare |
| topic | 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 n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSB Biochemistry |
| topic_facet | 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 n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSB Biochemistry |
| url | ONIX_20220621_9783036540191_114 |