Comparison of a New Inertial Sensor Based System with an Optoelectronic Motion Capture System for Motion Analysis of Healthy Human Wrist Joints

Wirth, Michael A.; Fischer, Gabriella; Verdú, Jorge; Reissner, Lisa; Balocco, Simone; Calcagni, Maurizio

doi:10.3390/s19235297

Cited by 25 publications

(39 citation statements)

References 29 publications

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“…A study of MR spine lumbosacral (2015.08. 14) showed reduced intervertebral discs L4/L5, L5/S1, with reduction of their hydration, and bilateral narrowed intervertebral foramina L4/L5, L5/S1. At L4/L5 level, the central-right-side protrusion of the intervertebral disc is about 6.5 mm intrathecally with the impression of the right nerve root.…”

Section: Cases Descriptionmentioning

confidence: 99%

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Inertial Sensors as a Tool for Diagnosing Discopathy Lumbosacral Pathologic Gait: A Preliminary Research

Głowiński¹,

Łosiński²,

Kowiański³

et al. 2020

Diagnostics

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Background: the goal of the study is to ascertain the influence of discopathy in the lumbosacral (L-S) segment on the gait parameters. The inertial sensors are used to determine the pathologic parameters of gait. Methods: the study involved four patients (44, 46, 42, and 38 years). First, the goal of the survey was to analyze by a noninvasive medical test magnetic resonance imaging (MRI) of each patient. Next, by using inertial sensors, the flexion-extension of joint angles of the left and right knees were calculated. The statistical analysis was performed. The wavelet transform was applied to analyze periodic information in the acceleration data. Results: in the patients with discopathy, the amount of knee flexion attained during stance phase is significantly lower than that of normal (health side), which could indicate poor eccentric control or a pain avoidance mechanism. The biggest differences are observed in the Initial Swing phase. Bending of the lower limb in the knee joint at this stage reaches maximum values during the entire gait cycle. Conclusions: It has been difficult to quantify the knee angle during gait by visual inspection. The inertial measurement unit (IMU) system can be useful in determining the level of spine damage and its degree. In patients in the first stages of the intervertebral disc disease who may undergo conservative treatment, it may also partially delay or completely exclude the decision to perform a complicated imaging examination which is MRI, often showing a false positive result in this phase of the disease.

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Section: Cases Descriptionmentioning

confidence: 99%

“…ProMove Mini system was tested and compared with the Motion Capture System: Tech-MCS Inertial Measurement Unit (a fully wireless motion analysis solution). Some of methods comparison IMU vs OMC were presented in [14].…”

Section: Introductionmentioning

confidence: 99%

Inertial Sensors as a Tool for Diagnosing Discopathy Lumbosacral Pathologic Gait: A Preliminary Research

Głowiński¹,

Łosiński²,

Kowiański³

et al. 2020

Diagnostics

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“…Commonly used methods to compare the accuracy of the IMU data use of special sensors such as the camera-based 3D motion analyzers. IMU devices have widely been used for spatio-temporal gait analysis and their performance compared against motion capture systems [25], [26]. Results have shown that the reliability and accuracy of a low-cost IMUbased system outperformed those obtained from different motion capture systems [27], [28].…”

Section: A Related Workmentioning

confidence: 99%

An Approach to Acquire Path-Following Skills by Industrial Robots From Human Demonstration

et al. 2021

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Industrial robots have mainly been programmed by operators using teach pendants in a pointto-point scheme with limited sensing capabilities. New developments in robotics have attracted a lot of attention to robot motor skill learning via human interaction using Learning from Demonstration (LfD) techniques. Robot skill acquisition using LfD techniques is characterised by a high-level stage in charge of learning connected actions and a low-level stage concerned with motor coordination and reproduction of an observed path. In this paper, we present an approach to acquire a path-following skill by a robot in the low-level stage which deals with the correspondence of mapping links and joints from a human operator to a robot so that the robot can actually follow a path. We present the design of an Inertial Measurement Unit (IMU) device that is primarily used as an input to acquire the robot skill. The approach is validated using a motion capture system as ground truth to assess the spatial deviation from the human-taught path to the robot's final trajectory.

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“…The accuracy of IMU is dependent on the exact sensor and software specification used. In a previous study, we investigated an IMU system for measurement of basic motion tasks of the wrist and found it to be feasible for clinical application with similar measurements to the gold standard, an OMC based system [ 9 ]. However, as task-specific validation of a new system is necessary for possible clinical application, the high accuracy in basic motion tasks cannot be automatically assumed for more complex movements of daily living such as the DTM [ 1 ].…”

Section: Introductionmentioning

confidence: 99%

In Vivo Measurement of Wrist Movements during the Dart-Throwing Motion Using Inertial Measurement Units

Fischer

Wirth

Balocco

et al. 2021

Sensors

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Background: This study investigates the dart-throwing motion (DTM) by comparing an inertial measurement unit-based system previously validated for basic motion tasks with an optoelectronic motion capture system. The DTM is interesting as wrist movement during many activities of daily living occur in this movement plane, but the complex movement is difficult to assess clinically. Methods: Ten healthy subjects were recorded while performing the DTM with their right wrist using inertial sensors and skin markers. Maximum range of motion obtained by the different systems and the mean absolute difference were calculated. Results: In the flexion–extension plane, both systems calculated a range of motion of 100° with mean absolute differences of 8°, while in the radial–ulnar deviation plane, a mean absolute difference of 17° and range of motion values of 48° for the optoelectronic system and 59° for the inertial measurement units were found. Conclusions: This study shows the challenge of comparing results of different kinematic motion capture systems for complex movements while also highlighting inertial measurement units as promising for future clinical application in dynamic and coupled wrist movements. Possible sources of error and solutions are discussed.

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Comparison of a New Inertial Sensor Based System with an Optoelectronic Motion Capture System for Motion Analysis of Healthy Human Wrist Joints

Cited by 25 publications

References 29 publications

Inertial Sensors as a Tool for Diagnosing Discopathy Lumbosacral Pathologic Gait: A Preliminary Research

Inertial Sensors as a Tool for Diagnosing Discopathy Lumbosacral Pathologic Gait: A Preliminary Research

An Approach to Acquire Path-Following Skills by Industrial Robots From Human Demonstration

In Vivo Measurement of Wrist Movements during the Dart-Throwing Motion Using Inertial Measurement Units

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