Wearable low-cost inertial sensor-based electrogoniometer for measuring joint range of motion
Abstract Human movement analysis have become fundamental for a wide range of applications, such as physical therapies, neuro-rehabilitation, sports medicine, human motor system performance assessment and occupational medicine. This paper focuses on the design, implementation and validation of an inertial sensor-based portable electrogoniometer aimed at measuring joint range of motion. The system is composed of two inertial measurement units and a microcontroller that permits real-time human motion capture. The electrogoniometer was tested both in static and dynamic conditions in comparison to a standard commercial electrogoniometer during elbow movements. For static validation, the concordance correlation coefficient (ρC) obtained was 0.9605. The ρC found for slow-speed cyclical movements was 0.9830 and the ρC found for moderate-speed cyclical movements was 0.9619.
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Universidad Nacional de Colombia
2017
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oai:scielo:S0012-735320170002001802017-08-01Wearable low-cost inertial sensor-based electrogoniometer for measuring joint range of motionRuiz-Olaya,Andrés F.Callejas-Cuervo,MauroLara-Herrera,Claudia N. Electrogoniometer inertial sensors joint range of motion motion capture system Abstract Human movement analysis have become fundamental for a wide range of applications, such as physical therapies, neuro-rehabilitation, sports medicine, human motor system performance assessment and occupational medicine. This paper focuses on the design, implementation and validation of an inertial sensor-based portable electrogoniometer aimed at measuring joint range of motion. The system is composed of two inertial measurement units and a microcontroller that permits real-time human motion capture. The electrogoniometer was tested both in static and dynamic conditions in comparison to a standard commercial electrogoniometer during elbow movements. For static validation, the concordance correlation coefficient (ρC) obtained was 0.9605. The ρC found for slow-speed cyclical movements was 0.9830 and the ρC found for moderate-speed cyclical movements was 0.9619.info:eu-repo/semantics/openAccessUniversidad Nacional de ColombiaDYNA v.84 n.201 20172017-06-01info:eu-repo/semantics/articletext/htmlhttp://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532017000200180en10.15446/dyna.v84n201.59054 |
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Ruiz-Olaya,Andrés F. Callejas-Cuervo,Mauro Lara-Herrera,Claudia N. |
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Ruiz-Olaya,Andrés F. Callejas-Cuervo,Mauro Lara-Herrera,Claudia N. Wearable low-cost inertial sensor-based electrogoniometer for measuring joint range of motion |
| author_facet |
Ruiz-Olaya,Andrés F. Callejas-Cuervo,Mauro Lara-Herrera,Claudia N. |
| author_sort |
Ruiz-Olaya,Andrés F. |
| title |
Wearable low-cost inertial sensor-based electrogoniometer for measuring joint range of motion |
| title_short |
Wearable low-cost inertial sensor-based electrogoniometer for measuring joint range of motion |
| title_full |
Wearable low-cost inertial sensor-based electrogoniometer for measuring joint range of motion |
| title_fullStr |
Wearable low-cost inertial sensor-based electrogoniometer for measuring joint range of motion |
| title_full_unstemmed |
Wearable low-cost inertial sensor-based electrogoniometer for measuring joint range of motion |
| title_sort |
wearable low-cost inertial sensor-based electrogoniometer for measuring joint range of motion |
| description |
Abstract Human movement analysis have become fundamental for a wide range of applications, such as physical therapies, neuro-rehabilitation, sports medicine, human motor system performance assessment and occupational medicine. This paper focuses on the design, implementation and validation of an inertial sensor-based portable electrogoniometer aimed at measuring joint range of motion. The system is composed of two inertial measurement units and a microcontroller that permits real-time human motion capture. The electrogoniometer was tested both in static and dynamic conditions in comparison to a standard commercial electrogoniometer during elbow movements. For static validation, the concordance correlation coefficient (ρC) obtained was 0.9605. The ρC found for slow-speed cyclical movements was 0.9830 and the ρC found for moderate-speed cyclical movements was 0.9619. |
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Universidad Nacional de Colombia |
| publishDate |
2017 |
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http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532017000200180 |
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