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tri-axial wireless inertial sensors opal  (APDM Wearable Technologies)

 
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    APDM Wearable Technologies tri-axial wireless inertial sensors opal
    Tri Axial Wireless Inertial Sensors Opal, supplied by APDM Wearable Technologies, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/tri-axial+wireless+inertial+sensors+opals/tri+axial+wireless+inertial+sensors+opals/pmc11014120-72-1-6
    Average 90 stars, based on 1 article reviews
    tri-axial wireless inertial sensors opal - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Activity Assay:

    Article Title: Measures of gait stability: performance on adults and toddlers at the beginning of independent walking
    Article Snippet: Two tri-axial wireless inertial sensors (OPALS, Apdm, USA) were mounted using straps respectively on the lower back, at L5 level, and on the right leg, above the lateral malleolus.

    Article Title: A 'Fingerprint' of locomotor maturation: Motor development descriptors, reference development bands and data-set.
    Article Snippet: Background: When aiming at studying and monitoring locomotor development in childhood, innovative indexes for the characterization of motor control performance and wearable technologies have highlighted the potential of significant advances.. In particular, quantitative assessment of motor performance during natural walking (NW) and tandem walking (TW) has been proposed to highlight manifestations of motor automaticity and complexity, respectively.. Research question: This work aims at providing a quantitative overview of metrics characterizing locomotor maturation in a typically developing population, by analysing NW and TW.

    Article Title: Changes of human movement complexity during maturation: quantitative assessment using multiscale entropy.
    Article Snippet: Movement complexity can be defined as the capability of using different strategies to accomplish a specific task and is expected to increase with maturation, reaching its highest level in adulthood.. Multiscale Entropy (MSE) has been proposed to estimate complexity on different kinematic signals, at different time scales.. When applied on trunk acceleration data during natural walking (NW) at different ages, MSE decreased from childhood to adulthood, apparently contradicting the premises.

    Article Title: Development of gait motor control: what happens after a sudden increase in height during adolescence?
    Article Snippet: Three tri-axial wireless inertial sensors (OPALS, Apdm, USA) were mounted respectively on the lower back (at L5 level) and on the lower legs using straps.

    Article Title: Complexity of human gait pattern at different ages assessed using multiscale entropy: From development to decline.
    Article Snippet: Two tri-axial wireless inertial sensors (OPALS, Apdm, USA) were mounted respectively on the lower back and on the right leg using straps.

    Article Title: Methodological Considerations in the Kinematic and Kinetic Analysis of Human Movement among Healthy Adolescents: A Scoping Review of Nonlinear Measures in Data Processing
    Article Snippet: Bisi and Stagni, 2016 [ ] , Two tri-axial wireless inertial sensors (OPALS, Apdm, USA): 1 placed on the lower back and 1 placed on the right leg. , Spatiotemporal parameters: Trunk acceleration (m/s 2 )—vertical (V), anteroposterior (AP), and mediolateral (ML) components Right leg acceleration (m/s 2 ) , Multiscale entropy (MSE): applied separately to the AP, vertical (V), and ML direction of the collected trunk acceleration (SEnV, SEnAP, and SEnML).

    Article Title: Methodological Considerations in the Kinematic and Kinetic Analysis of Human Movement among Healthy Adolescents: A Scoping Review of Nonlinear Measures in Data Processing
    Article Snippet: Bisi et al., 2019 [ ] , Three tri-axial wireless inertial sensors (OPALS, Apdm, USA): 1 placed on the lower back (L5 level) and 1 placed on each shank (above lateral malleolus). , Temporal parameters: Stride time (s) Stance time (% stride time) Double support time (% stride time) Fundamental frequency (Hz) , Short Lyapunov exponent (sLe): sLeV, sLeML, and sLeAP MSE: calculated by assessing SEn on the 3 acceleration components (SEnV, SEnML, and SEnAP) RQA: recurrence rate, determinism, and averaged diagonal line length for each acceleration component (calculated on AP and ML directions) Poincaré Plots.

    Article Title: Methodological Considerations in the Kinematic and Kinetic Analysis of Human Movement among Healthy Adolescents: A Scoping Review of Nonlinear Measures in Data Processing
    Article Snippet: Bisi and Stagni, 2018 [ ] , Two tri-axial wireless inertial sensors (OPALS, Apdm, USA): 1 placed on the lower back and 1 placed on the right leg. , Spatiotemporal parameters: Trunk Acceleration (m/s 2 ), for TW and NW: V, AP, and ML components , MSE: applied separately to the AP, V, and ML direction of the collected trunk acceleration (SEnV, SEnAP, and SEnML), in both NW and TW.

    Muscles:

    Article Title: Measures of gait stability: performance on adults and toddlers at the beginning of independent walking
    Article Snippet: Two tri-axial wireless inertial sensors (OPALS, Apdm, USA) were mounted using straps respectively on the lower back, at L5 level, and on the right leg, above the lateral malleolus.

    Article Title: A 'Fingerprint' of locomotor maturation: Motor development descriptors, reference development bands and data-set.
    Article Snippet: Background: When aiming at studying and monitoring locomotor development in childhood, innovative indexes for the characterization of motor control performance and wearable technologies have highlighted the potential of significant advances.. In particular, quantitative assessment of motor performance during natural walking (NW) and tandem walking (TW) has been proposed to highlight manifestations of motor automaticity and complexity, respectively.. Research question: This work aims at providing a quantitative overview of metrics characterizing locomotor maturation in a typically developing population, by analysing NW and TW.

    Article Title: Changes of human movement complexity during maturation: quantitative assessment using multiscale entropy.
    Article Snippet: Movement complexity can be defined as the capability of using different strategies to accomplish a specific task and is expected to increase with maturation, reaching its highest level in adulthood.. Multiscale Entropy (MSE) has been proposed to estimate complexity on different kinematic signals, at different time scales.. When applied on trunk acceleration data during natural walking (NW) at different ages, MSE decreased from childhood to adulthood, apparently contradicting the premises.

    Article Title: Development of gait motor control: what happens after a sudden increase in height during adolescence?
    Article Snippet: Three tri-axial wireless inertial sensors (OPALS, Apdm, USA) were mounted respectively on the lower back (at L5 level) and on the lower legs using straps.

    Article Title: Complexity of human gait pattern at different ages assessed using multiscale entropy: From development to decline.
    Article Snippet: Two tri-axial wireless inertial sensors (OPALS, Apdm, USA) were mounted respectively on the lower back and on the right leg using straps.

    Article Title: Methodological Considerations in the Kinematic and Kinetic Analysis of Human Movement among Healthy Adolescents: A Scoping Review of Nonlinear Measures in Data Processing
    Article Snippet: Bisi and Stagni, 2016 [ ] , Two tri-axial wireless inertial sensors (OPALS, Apdm, USA): 1 placed on the lower back and 1 placed on the right leg. , Spatiotemporal parameters: Trunk acceleration (m/s 2 )—vertical (V), anteroposterior (AP), and mediolateral (ML) components Right leg acceleration (m/s 2 ) , Multiscale entropy (MSE): applied separately to the AP, vertical (V), and ML direction of the collected trunk acceleration (SEnV, SEnAP, and SEnML).

    Article Title: Methodological Considerations in the Kinematic and Kinetic Analysis of Human Movement among Healthy Adolescents: A Scoping Review of Nonlinear Measures in Data Processing
    Article Snippet: Bisi et al., 2019 [ ] , Three tri-axial wireless inertial sensors (OPALS, Apdm, USA): 1 placed on the lower back (L5 level) and 1 placed on each shank (above lateral malleolus). , Temporal parameters: Stride time (s) Stance time (% stride time) Double support time (% stride time) Fundamental frequency (Hz) , Short Lyapunov exponent (sLe): sLeV, sLeML, and sLeAP MSE: calculated by assessing SEn on the 3 acceleration components (SEnV, SEnML, and SEnAP) RQA: recurrence rate, determinism, and averaged diagonal line length for each acceleration component (calculated on AP and ML directions) Poincaré Plots.

    Article Title: Methodological Considerations in the Kinematic and Kinetic Analysis of Human Movement among Healthy Adolescents: A Scoping Review of Nonlinear Measures in Data Processing
    Article Snippet: Bisi and Stagni, 2018 [ ] , Two tri-axial wireless inertial sensors (OPALS, Apdm, USA): 1 placed on the lower back and 1 placed on the right leg. , Spatiotemporal parameters: Trunk Acceleration (m/s 2 ), for TW and NW: V, AP, and ML components , MSE: applied separately to the AP, V, and ML direction of the collected trunk acceleration (SEnV, SEnAP, and SEnML), in both NW and TW.

    Sampling:

    Article Title: Measures of gait stability: performance on adults and toddlers at the beginning of independent walking
    Article Snippet: Two tri-axial wireless inertial sensors (OPALS, Apdm, USA) were mounted using straps respectively on the lower back, at L5 level, and on the right leg, above the lateral malleolus.

    Article Title: A 'Fingerprint' of locomotor maturation: Motor development descriptors, reference development bands and data-set.
    Article Snippet: Background: When aiming at studying and monitoring locomotor development in childhood, innovative indexes for the characterization of motor control performance and wearable technologies have highlighted the potential of significant advances.. In particular, quantitative assessment of motor performance during natural walking (NW) and tandem walking (TW) has been proposed to highlight manifestations of motor automaticity and complexity, respectively.. Research question: This work aims at providing a quantitative overview of metrics characterizing locomotor maturation in a typically developing population, by analysing NW and TW.

    Article Title: Changes of human movement complexity during maturation: quantitative assessment using multiscale entropy.
    Article Snippet: Movement complexity can be defined as the capability of using different strategies to accomplish a specific task and is expected to increase with maturation, reaching its highest level in adulthood.. Multiscale Entropy (MSE) has been proposed to estimate complexity on different kinematic signals, at different time scales.. When applied on trunk acceleration data during natural walking (NW) at different ages, MSE decreased from childhood to adulthood, apparently contradicting the premises.

    Article Title: Development of gait motor control: what happens after a sudden increase in height during adolescence?
    Article Snippet: Three tri-axial wireless inertial sensors (OPALS, Apdm, USA) were mounted respectively on the lower back (at L5 level) and on the lower legs using straps.

    Article Title: Complexity of human gait pattern at different ages assessed using multiscale entropy: From development to decline.
    Article Snippet: Two tri-axial wireless inertial sensors (OPALS, Apdm, USA) were mounted respectively on the lower back and on the right leg using straps.

    Article Title: Methodological Considerations in the Kinematic and Kinetic Analysis of Human Movement among Healthy Adolescents: A Scoping Review of Nonlinear Measures in Data Processing
    Article Snippet: Bisi and Stagni, 2016 [ ] , Two tri-axial wireless inertial sensors (OPALS, Apdm, USA): 1 placed on the lower back and 1 placed on the right leg. , Spatiotemporal parameters: Trunk acceleration (m/s 2 )—vertical (V), anteroposterior (AP), and mediolateral (ML) components Right leg acceleration (m/s 2 ) , Multiscale entropy (MSE): applied separately to the AP, vertical (V), and ML direction of the collected trunk acceleration (SEnV, SEnAP, and SEnML).

    Article Title: Methodological Considerations in the Kinematic and Kinetic Analysis of Human Movement among Healthy Adolescents: A Scoping Review of Nonlinear Measures in Data Processing
    Article Snippet: Bisi et al., 2019 [ ] , Three tri-axial wireless inertial sensors (OPALS, Apdm, USA): 1 placed on the lower back (L5 level) and 1 placed on each shank (above lateral malleolus). , Temporal parameters: Stride time (s) Stance time (% stride time) Double support time (% stride time) Fundamental frequency (Hz) , Short Lyapunov exponent (sLe): sLeV, sLeML, and sLeAP MSE: calculated by assessing SEn on the 3 acceleration components (SEnV, SEnML, and SEnAP) RQA: recurrence rate, determinism, and averaged diagonal line length for each acceleration component (calculated on AP and ML directions) Poincaré Plots.

    Article Title: Methodological Considerations in the Kinematic and Kinetic Analysis of Human Movement among Healthy Adolescents: A Scoping Review of Nonlinear Measures in Data Processing
    Article Snippet: Bisi and Stagni, 2018 [ ] , Two tri-axial wireless inertial sensors (OPALS, Apdm, USA): 1 placed on the lower back and 1 placed on the right leg. , Spatiotemporal parameters: Trunk Acceleration (m/s 2 ), for TW and NW: V, AP, and ML components , MSE: applied separately to the AP, V, and ML direction of the collected trunk acceleration (SEnV, SEnAP, and SEnML), in both NW and TW.

    Blocking Assay:

    Article Title: Measures of gait stability: performance on adults and toddlers at the beginning of independent walking
    Article Snippet: Two tri-axial wireless inertial sensors (OPALS, Apdm, USA) were mounted using straps respectively on the lower back, at L5 level, and on the right leg, above the lateral malleolus.

    Article Title: A 'Fingerprint' of locomotor maturation: Motor development descriptors, reference development bands and data-set.
    Article Snippet: Background: When aiming at studying and monitoring locomotor development in childhood, innovative indexes for the characterization of motor control performance and wearable technologies have highlighted the potential of significant advances.. In particular, quantitative assessment of motor performance during natural walking (NW) and tandem walking (TW) has been proposed to highlight manifestations of motor automaticity and complexity, respectively.. Research question: This work aims at providing a quantitative overview of metrics characterizing locomotor maturation in a typically developing population, by analysing NW and TW.

    Article Title: Changes of human movement complexity during maturation: quantitative assessment using multiscale entropy.
    Article Snippet: Movement complexity can be defined as the capability of using different strategies to accomplish a specific task and is expected to increase with maturation, reaching its highest level in adulthood.. Multiscale Entropy (MSE) has been proposed to estimate complexity on different kinematic signals, at different time scales.. When applied on trunk acceleration data during natural walking (NW) at different ages, MSE decreased from childhood to adulthood, apparently contradicting the premises.

    Article Title: Development of gait motor control: what happens after a sudden increase in height during adolescence?
    Article Snippet: Three tri-axial wireless inertial sensors (OPALS, Apdm, USA) were mounted respectively on the lower back (at L5 level) and on the lower legs using straps.

    Article Title: Complexity of human gait pattern at different ages assessed using multiscale entropy: From development to decline.
    Article Snippet: Two tri-axial wireless inertial sensors (OPALS, Apdm, USA) were mounted respectively on the lower back and on the right leg using straps.

    Article Title: Methodological Considerations in the Kinematic and Kinetic Analysis of Human Movement among Healthy Adolescents: A Scoping Review of Nonlinear Measures in Data Processing
    Article Snippet: Bisi and Stagni, 2016 [ ] , Two tri-axial wireless inertial sensors (OPALS, Apdm, USA): 1 placed on the lower back and 1 placed on the right leg. , Spatiotemporal parameters: Trunk acceleration (m/s 2 )—vertical (V), anteroposterior (AP), and mediolateral (ML) components Right leg acceleration (m/s 2 ) , Multiscale entropy (MSE): applied separately to the AP, vertical (V), and ML direction of the collected trunk acceleration (SEnV, SEnAP, and SEnML).

    Article Title: Methodological Considerations in the Kinematic and Kinetic Analysis of Human Movement among Healthy Adolescents: A Scoping Review of Nonlinear Measures in Data Processing
    Article Snippet: Bisi et al., 2019 [ ] , Three tri-axial wireless inertial sensors (OPALS, Apdm, USA): 1 placed on the lower back (L5 level) and 1 placed on each shank (above lateral malleolus). , Temporal parameters: Stride time (s) Stance time (% stride time) Double support time (% stride time) Fundamental frequency (Hz) , Short Lyapunov exponent (sLe): sLeV, sLeML, and sLeAP MSE: calculated by assessing SEn on the 3 acceleration components (SEnV, SEnML, and SEnAP) RQA: recurrence rate, determinism, and averaged diagonal line length for each acceleration component (calculated on AP and ML directions) Poincaré Plots.

    Article Title: Methodological Considerations in the Kinematic and Kinetic Analysis of Human Movement among Healthy Adolescents: A Scoping Review of Nonlinear Measures in Data Processing
    Article Snippet: Bisi and Stagni, 2018 [ ] , Two tri-axial wireless inertial sensors (OPALS, Apdm, USA): 1 placed on the lower back and 1 placed on the right leg. , Spatiotemporal parameters: Trunk Acceleration (m/s 2 ), for TW and NW: V, AP, and ML components , MSE: applied separately to the AP, V, and ML direction of the collected trunk acceleration (SEnV, SEnAP, and SEnML), in both NW and TW.



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    Assessment instruments, kinematic and kinetic variables, and nonlinear measures.

    Journal: Sensors (Basel, Switzerland)

    Article Title: Methodological Considerations in the Kinematic and Kinetic Analysis of Human Movement among Healthy Adolescents: A Scoping Review of Nonlinear Measures in Data Processing

    doi: 10.3390/s23010304

    Figure Lengend Snippet: Assessment instruments, kinematic and kinetic variables, and nonlinear measures.

    Article Snippet: Bisi and Stagni, 2018 [ ] , Two tri-axial wireless inertial sensors (OPALS, Apdm, USA): 1 placed on the lower back and 1 placed on the right leg. , Spatiotemporal parameters: Trunk Acceleration (m/s 2 ), for TW and NW: V, AP, and ML components , MSE: applied separately to the AP, V, and ML direction of the collected trunk acceleration (SEnV, SEnAP, and SEnML), in both NW and TW.

    Techniques: Activity Assay, Muscles, Sampling, Blocking Assay