A new way of assessing arm function in activity using kinematic Exposure Variation Analysis and portable inertial sensors – A validity study

Ertzgaard, Per; Öhberg, Fredrik; Gerdle, Björn; Grip, Helena

doi:10.1016/j.math.2015.09.004

Cited by 34 publications

(48 citation statements)

References 32 publications

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“…The full-scale range was ±1000°/s for the gyroscopes, ±8 g for the accelerometers and ±4800 µT for the magnetometers. The measurement precision and accuracy of the MoLab TM POSE system for measurements in the spine has been validated against a gold standard optical system (Ertzgaard, Ohberg, Gerdle, & Grip, 2016;Öhberg, Lundström, & Grip, 2013). Outcome measures were based on the IMUs detection of three-dimensional spinal alignment and real-time orientation (Öhberg et al, 2013).…”

Section: Instruments and Measurementsmentioning

confidence: 99%

Variability of lumbar spinal alignment among power- and weightlifters during the deadlift and barbell back squat

Aasa

Bengtsson

Berglund

et al. 2019

Sports Biomechanics

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The aims of the study were to evaluate the relative and absolute variability of upper (T11-L2) and lower (L2-S2) lumbar spinal alignment in power-and weightlifters during the deadlift and back squat exercises, and to compare this alignment between the two lifting groups. Twenty-four competitive powerlifters (n = 14) and weightlifters (n = 10) performed three repetitions of the deadlift and the back squat exercises using a load equivalent to 70% of their respective one-repetition maximum. The main outcome measures were the three-dimensional lumbar spinal alignment for start position, minimum and maximum angle of their spinal alignment, and range of motion measured using inertial measurement units. Relative intra-trial reliability was calculated using the two-way random model intraclass correlation coefficient (ICC) and absolute reliability with minimal detectable change (MDC). The ICC ranged between 0.69 and 0.99 and the MDC between 1°-8°for the deadlift. Corresponding figures for the squat were 0.78-0.99 and 1°-6°. In all participants during both exercises, spinal adjustments were made in both thoracolumbar and lumbopelvic areas in all three dimensions. In conclusion, when performing three repetitions of the deadlift and the squat, lumbar spinal alignment of the lifters did not change much between repetitions and did not differ significantly between power-and weightlifters.

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Section: Instruments and Measurementsmentioning

confidence: 99%

Variability of lumbar spinal alignment among power- and weightlifters during the deadlift and barbell back squat

Aasa

Bengtsson

Berglund

et al. 2019

Sports Biomechanics

Self Cite

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“…Drift-free IMU-based measurement is still to be achieved for long-term usage, although embedded algorithms of commercialized sensors are well advanced to provide satisfying measures. The need for a magnetometer in the measurement system is demonstrated in [24] where accelerometer and gyroscope fusion-based measures were drifting. A suggested solution is to combine multiple IMUs to cancel effects of external perturbations.…”

Section: A Imu-based Arm Motion Capturementioning

confidence: 99%

Towards the implementation of natural prosthetic elbow motion using upper limb joint coordination

Mérad

Roby-Brami

Jarrassé

2016

2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob)

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The control of an active prosthetic elbow is problematic for most transhumeral amputees and a functional solution providing intuitive control over active multi-joint prosthetic upper limbs is yet to be found. The method in this paper uses IMU-based upper arm kinematics to predict the elbow motion based on upper limb joint coordinations during pointing movements. A RBFN-based regression was performed to model the shoulder/elbow coordination. The prediction results indicate that such an approach is ready to be implemented on current transhumeral prostheses equipped with embedded motion sensors like IMUs. Different algorithm training methods to obtain better prediction performance are also investigated.

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“…Furthermore, goniometry measurements are typically performed during uniplanar movement (e.g., arm elevation in the frontal plane), instead of during the performance of functional tasks resembling activities of daily life. However, in the last decade, the development of inertial sensor technologies for objective movement assessment of joint range of motion in clinical practice has emerged given their opportunity to measure range of motion during more complex, functional and multiplanar movements [10,11]. Inertial sensor systems are furthermore relatively inexpensive and do not require specific expertise to operate.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Scapulothoracic, Glenohumeral, and Elbow Motion in Adhesive Capsulitis by Means of Inertial Sensor Technology: A Within-Session, Intra-Operator and Inter-Operator Reliability and Agreement Study

Baets

Vanbrabant

Dierickx

et al. 2020

Sensors

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Adhesive capsulitis (AC) is a glenohumeral (GH) joint condition, characterized by decreased GH joint range of motion (ROM) and compensatory ROM in the elbow and scapulothoracic (ST) joint. To evaluate AC progression in clinical settings, objective movement analysis by available systems would be valuable. This study aimed to assess within-session and intra- and inter-operator reliability/agreement of such a motion capture system. The MVN-Awinda® system from Xsens Technologies (Enschede, The Netherlands) was used to assess ST, GH, and elbow ROM during four tasks (GH external rotation, combing hair, grasping a seatbelt, placing a cup on a shelf) in 10 AC patients (mean age = 54 (±6), 7 females), on two test occasions (accompanied by different operators on second occasion). Standard error of measurements (SEMs) were below 1.5° for ST pro-retraction and 4.6° for GH in-external rotation during GH external rotation; below 6.6° for ST tilt, 6.4° for GH flexion-extension, 7.1° for elbow flexion-extension during combing hair; below 4.4° for GH ab-adduction, 13° for GH in-external rotation, 6.8° for elbow flexion-extension during grasping the seatbelt; below 11° for all ST and GH joint rotations during placing a cup on a shelf. Therefore, to evaluate AC progression, inertial sensors systems can be applied during the execution of functional tasks.

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A new way of assessing arm function in activity using kinematic Exposure Variation Analysis and portable inertial sensors – A validity study

Cited by 34 publications

References 32 publications

Variability of lumbar spinal alignment among power- and weightlifters during the deadlift and barbell back squat

Variability of lumbar spinal alignment among power- and weightlifters during the deadlift and barbell back squat

Towards the implementation of natural prosthetic elbow motion using upper limb joint coordination

Assessment of Scapulothoracic, Glenohumeral, and Elbow Motion in Adhesive Capsulitis by Means of Inertial Sensor Technology: A Within-Session, Intra-Operator and Inter-Operator Reliability and Agreement Study

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