ArticleSensors (Basel, Switzerland)2023
Shoulder Range of Motion Measurement Using Inertial Measurement Unit-Validation with a Robot Arm.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Comparative Analysis of Support Vector Machine Variants for Human Activity Recognition Using Wearable Sensor Data.Sensors (Basel, Switzerland) · 2026Article
- Assessment of Elbow Proprioception with Inertial Measurement Units-Validity and Reliability Study.Sensors (Basel, Switzerland) · 2025Article
- A Robust Method for Validating Orientation Sensors Using a Robot Arm as a High-Precision Reference.Sensors (Basel, Switzerland) · 2024Article
- Isometric Shoulder Testing Using a Forcemeter Is a Reliable Method of Strength Evaluation.Sensors (Basel, Switzerland) · 2023Article
- Validity and Reliability of Inertial Measurement Units in Active Range of Motion Assessment in the Hip Joint.Sensors (Basel, Switzerland) · 2023Article
- Validation of a Biomechanical Injury and Disease Assessment Platform Applying an Inertial-Based Biosensor and Axis Vector Computation.Electronics · 2023Article
- Shoulder Range of Motion Measurement Using Inertial Measurement Unit-Concurrent Validity and Reliability.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The invention of inertial measurement units allowed the construction of sensors suitable for human motion tracking that are more affordable than expensive optical motion capture systems, but there are a few factors influencing their accuracy, such as the calibration methods and the fusion algorithms used to translate sensor readings into angles. The main purpose of this study was to test the accuracy of a single RSQ Motion sensor in comparison to a highly precise industrial robot. The secondary objectives were to test how the type of sensor calibration affects its accuracy and whether the time and magnitude of the tested angle have an impact on the sensor's accuracy. We performed sensor tests for nine repetitions of nine static angles made by the robot arm in eleven series. The chosen robot movements mimicked shoulder movements in a range of motion test (flexion, abduction, and rotation). The RSQ Motion sensor appeared to be very accurate, with a root-mean-square error below 0.15°. Furthermore, we found a moderate-to-strong correlation between the sensor error and the magnitude of the measured angle but only for the sensor calibrated with the gyroscope and accelerometer readings. Although the high accuracy of the RSQ Motion sensors was demonstrated in this paper, they require further study on human subjects and comparisons to the other devices known as the gold standards in orthopedics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.