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OPAL^® Knowledge Base

We welcome you to explore our collection of over 750 scientific publications that reflect the technical and clinical applications of our Opal^® System. Search our library and discover how incorporating Opal^® sensor technology and precision motion analysis can unlock deeper insights for your Clinical Research.

Latest articles

Dynamic Stability, Symmetry, and Smoothness of Gait in People with Neurological Health Conditions

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Objective Estimation of m-CTSIB Balance Test Scores Using Wearable Sensors and Machine Learning

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Development and evaluation of the ARM algorithm: A novel approach to quantify musculoskeletal disorder risk factors in manual wheelchair users in the real world

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A Novel Framework Based on Deep Learning Architecture for Continuous Human Activity Recognition with Inertial Sensors

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Sensor-Based Quantitative Assessment of Children’s Fine Motor Competence: An Instrumented Version of the Placing Bricks Test

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Estimation of Kinetics Using IMUs to Monitor and Aid in Clinical Decision-Making during ACL Rehabilitation: A Systematic Review

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OPAL^® Knowledge Base

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Latest articles

Dynamic Stability, Symmetry, and Smoothness of Gait in People with Neurological Health Conditions

Objective Estimation of m-CTSIB Balance Test Scores Using Wearable Sensors and Machine Learning

Development and evaluation of the ARM algorithm: A novel approach to quantify musculoskeletal disorder risk factors in manual wheelchair users in the real world

A Novel Framework Based on Deep Learning Architecture for Continuous Human Activity Recognition with Inertial Sensors

Sensor-Based Quantitative Assessment of Children’s Fine Motor Competence: An Instrumented Version of the Placing Bricks Test

Estimation of Kinetics Using IMUs to Monitor and Aid in Clinical Decision-Making during ACL Rehabilitation: A Systematic Review

Request for Information

OPAL® Knowledge Base

Top searches:

Latest articles

Dynamic Stability, Symmetry, and Smoothness of Gait in People with Neurological Health Conditions

Objective Estimation of m-CTSIB Balance Test Scores Using Wearable Sensors and Machine Learning

Development and evaluation of the ARM algorithm: A novel approach to quantify musculoskeletal disorder risk factors in manual wheelchair users in the real world

A Novel Framework Based on Deep Learning Architecture for Continuous Human Activity Recognition with Inertial Sensors

Sensor-Based Quantitative Assessment of Children’s Fine Motor Competence: An Instrumented Version of the Placing Bricks Test

Estimation of Kinetics Using IMUs to Monitor and Aid in Clinical Decision-Making during ACL Rehabilitation: A Systematic Review

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Request for Information

OPAL^® Knowledge Base