Stereophotogrammetry in Functional Evaluation: History and Modern Protocols

Ancillao, Andrea

doi:10.1007/978-3-319-67437-7_1

Cited by 18 publications

(25 citation statements)

References 59 publications

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“…Assessment of how individuals perform lumbar-pelvic movements Marker-based systems require reflection or transmitting markers for the measurement of physical movement. It uses infrared optical or high-speed cameras to detect the light reflection of the markers and measures activity using the computation of the markers' trajectories in a three-dimensional space [23]. Based on different settings (e.g., the camera numbers and marker protocols), the accuracy of the marker-based system can be close to 0.1 mm and the sampling frequency can be as high as 1000 Hz [24].…”

Section: Introductionmentioning

confidence: 99%

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Electronic Skin Wearable Sensors for Detecting Lumbar–Pelvic Movements

Zhang

Haghighi

Burstein

et al. 2020

Sensors

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Background: A nanomaterial-based electronic-skin (E-Skin) wearable sensor has been successfully used for detecting and measuring body movements such as finger movement and foot pressure. The ultrathin and highly sensitive characteristics of E-Skin sensor make it a suitable alternative for continuously out-of-hospital lumbar–pelvic movement (LPM) monitoring. Monitoring these movements can help medical experts better understand individuals’ low back pain experience. However, there is a lack of prior studies in this research area. Therefore, this paper explores the potential of E-Skin sensors to detect and measure the anatomical angles of lumbar–pelvic movements by building a linear relationship model to compare its performance to clinically validated inertial measurement unit (IMU)-based sensing system (ViMove). Methods: The paper first presents a review and classification of existing wireless sensing technologies for monitoring of body movements, and then it describes a series of experiments performed with E-Skin sensors for detecting five standard LPMs including flexion, extension, pelvic tilt, lateral flexion, and rotation, and measure their anatomical angles. The outputs of both E-Skin and ViMove sensors were recorded during each experiment and further analysed to build the comparative models to evaluate the performance of detecting and measuring LPMs. Results: E-Skin sensor outputs showed a persistently repeating pattern for each movement. Due to the ability to sense minor skin deformation by E-skin sensor, its reaction time in detecting lumbar–pelvic movement is quicker than ViMove by ~1 s. Conclusions: E-Skin sensors offer new capabilities for detecting and measuring lumbar–pelvic movements. They have lower cost compared to commercially available IMU-based systems and their non-invasive highly stretchable characteristic makes them more comfortable for long-term use. These features make them a suitable sensing technology for developing continuous, out-of-hospital real-time monitoring and management systems for individuals with low back pain.

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Section: Introductionmentioning

confidence: 99%

“…Thirdly, it requires laboratory settings, which limit its use in measuring daily activities. Fourthly, the soft tissue artefacts, including incorrect marker positioning and skin sliding over the bones, may affect the measurement accuracy of marker-based systems [23].…”

Section: Introductionmentioning

confidence: 99%

Electronic Skin Wearable Sensors for Detecting Lumbar–Pelvic Movements

Zhang

Haghighi

Burstein

et al. 2020

Sensors

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“…The motion of a rigid body can be recorded by means of markers attached to the rigid body itself [10], and in general, three non-collinear markers are enough to reconstruct the rotation axis of a rigid-body [11]. However, it was proven that redundant marker trajectories may help to reduce the influence of noise and artefacts so that the localization procedure is improved [10,12]. In typical in-vivo motion capture, the measurements are affected by sensor noise and soft tissue artefacts; thus, the determination of the ISA becomes less accurate [13,14].…”

Section: Introductionmentioning

confidence: 99%

“…The SAID is analytically defined by higher-order trajectory derivatives, and therefore, it is very sensitive to noise, especially when there is a pure translation or a fixed rotation. The most affected invariants are ω 2 , ω 3 , v 2 and v 3 , which become undefined when the previous invariants are close to zero [19], and, in general, it is well known that differential kinematics are strongly affected by noise and other disturbances [10,13,19]. These effects are more noticeable when using optoelectronic systems, where angular and linear velocities need to be indirectly estimated from position trajectories.…”

Section: Introductionmentioning

confidence: 99%

Estimating the Instantaneous Screw Axis and the Screw Axis Invariant Descriptor of Motion by Means of Inertial Sensors: An Experimental Study with a Mechanical Hinge Joint and Comparison to the Optoelectronic System

Ancillao

Vochten

Aertbeliën

et al. 2019

Sensors

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The motion of a rigid body can be represented by the instantaneous screw axis (ISA, also known as the helical axis). Recently, an invariant representation of motion based on the ISA, namely, the screw axis invariant descriptor (SAID), was proposed in the literature. The SAID consists of six scalar features that are independent from the coordinate system chosen to represent the motion. This method proved its usefulness in robotics; however, a high sensitivity to noise was observed. This paper aims to explore the performance of inertial sensors for the estimation of the ISA and the SAID for a simple experimental setup based on a hinge joint. The free swing motion of the mechanical hinge was concurrently recorded by a marker-based optoelectronic system (OS) and two magnetic inertial measurement units (MIMUs). The ISA estimated by the MIMU was more precise, while the OS was more accurate. The mean angular error was ≈2.2° for the OS and was ≈4.4° for the MIMU, while the mean standard deviation was ≈2.3° for the OS and was ≈0.2° for the MIMU. The SAID features based on angular velocity were better estimated by the MIMU, while the features based on translational velocity were better estimated by the OS. Therefore, a combination of both measurements systems is recommended to accurately estimate the complete SAID.

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“…Nowadays, there are a relatively great number of techniques and studies that include motion capture/analysis, vibration analysis, measurement of human performance, etc. [20][21][22][23], but there are few studies using infrared thermography (IRT). Nevertheless, the use of the IRT technique to evaluate skin temperature in health and sports is constantly growing, which shows the importance of this technique concerning performance in sports [24][25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Hand-Arm Vibration Assessment and Changes in the Thermal Map of the Skin in Tennis Athletes during the Service

Amaro

Paulino

Neto

et al. 2019

IJERPH

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During recent years the number of tennis athletes has increased significantly. When playing tennis, the human body is exposed to many situations which can lead to human injuries, such as the so-called tennis elbow (lateral epicondylitis). In this work a biomechanical analysis of tennis athletes, particularly during the service, was performed, considering three different types of over-grip and the presence of one anti-vibrator device. One part of the study evaluates the exposure to hand-arm vibration of the athlete, based on the European Directive 2002/44/EC concerning the minimum health and safety requirements, regarding the exposure of workers to risks from physical agents. The second part of the study considers an infrared thermography analysis in order to identify signs of risk of injury, particularly tennis elbow, one of the most common injuries in this sport. The results show that the presence of the anti-vibrator influences the vibration values greatly in the case of athletes with more experience and also for athletes with less performance. The presence of the Cork and/or Tourna on the racket grip does not have any significant effect on the hand-arm vibration (HAV), similarly in the case of athletes with the best performance and athletes with less technique. The results indicated that the infrared thermography technique may be used to identify the risk of injuries in tennis players.

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Stereophotogrammetry in Functional Evaluation: History and Modern Protocols

Cited by 18 publications

References 59 publications

Electronic Skin Wearable Sensors for Detecting Lumbar–Pelvic Movements

Electronic Skin Wearable Sensors for Detecting Lumbar–Pelvic Movements

Estimating the Instantaneous Screw Axis and the Screw Axis Invariant Descriptor of Motion by Means of Inertial Sensors: An Experimental Study with a Mechanical Hinge Joint and Comparison to the Optoelectronic System

Hand-Arm Vibration Assessment and Changes in the Thermal Map of the Skin in Tennis Athletes during the Service

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