Three-dimensional kinematics of the lumbar spine during gait using marker-based systems: a systematic review

Needham, Robert; Stebbins, Julie; Chockalingam, Nachiappan

doi:10.3109/03091902.2016.1154616

Cited by 29 publications

(18 citation statements)

References 60 publications

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“…RoM was the primary outcome measure reported in the selected studies independent of the tasks and body segments/joints analysed. Despite RoM being a simple metric that could be easily estimated within a clinical setting, it does not convey the contribution over time of the related segments/joints to the movement performed, compensatory actions nor the movement variability, thus limiting our understanding of movement strategies ( Al-Eisa et al, 2006a ; Al-Eisa et al, 2006b ; Needham et al, 2014 ; Needham et al, 2016 ). Similarly, this applies to average values over the entire task.…”

Section: Discussionmentioning

confidence: 99%

Is there evidence to use kinematic/kinetic measures clinically in low back pain patients? A systematic review

Papi

Bull

McGregor

2018

Clinical Biomechanics

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BackgroundCurrently, there is a widespread reliance on self-reported questionnaires to assess low back pain patients. However, it has been suggested that objective measures of low back pain patients' functional status should be used to aid clinical assessment. The aim of this study is to systematically review which kinematic /kinetic parameters have been used to assess low back pain patients against healthy controls and to propose clinical kinematic/kinetic measures.MethodsPubMed, Embase and Scopus databases were searched for relevant studies. Reference lists of selected studies and hand searches were performed. Studies had to compare people with and without non-specific low back pain while performing functional tasks and report body segment/joint kinematic and/or kinetic data. Two reviewers independently identified relevant papers.FindingsSixty-two studies were included. Common biases identified were lack of assessor blinding and sample size calculation, use of samples of convenience, and poor experimental protocol standardization. Studies had small sample sizes. Range of motion maneuvers were the main task performed (33/62). Kinematic/kinetic data of different individual or combination of body segments/joints were reported among the studies, commonest was to assess the hip joint and lumbar segment motion (13/62). Only one study described full body movement. The most commonly reported outcome was range of motion. Statistically significant differences between controls and low back pain groups were reported for different outcomes among the studies. Moreover, when the same outcome was reported disagreements were noted.InterpretationThe literature to date offers limited and inconsistent evidence of kinematic/kinetic measures in low back pain patients that could be used clinically.

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Section: Discussionmentioning

confidence: 99%

Is there evidence to use kinematic/kinetic measures clinically in low back pain patients? A systematic review

Papi

Bull

McGregor

2018

Clinical Biomechanics

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“…The review by Papi et al (2017) was used as a basis for forming a quality assessment checklist [28]. This was based on previous reviews on motion analysis and relating to the use of technology [29,30]. 17 items were included in the checklist and each was rated between zero and two (0 = no, 1 = limited and 2 = good detail), listed in Table 3.…”

Section: Methodsmentioning

confidence: 99%

Exploring the Role of Wearable Technology in Sport Kinematics and Kinetics: A Systematic Review

Adesida

Papi

McGregor

2019

Sensors

187

127

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The aim of this review was to understand the use of wearable technology in sport in order to enhance performance and prevent injury. Understanding sports biomechanics is important for injury prevention and performance enhancement and is traditionally assessed using optical motion capture. However, such approaches are limited by capture volume restricting assessment to a laboratory environment, a factor that can be overcome by wearable technology. A systematic search was carried out across seven databases where wearable technology was employed to assess kinetic and kinematic variables in sport. Articles were excluded if they focused on sensor design and did not measure kinetic or kinematic variables or apply the technology on targeted participants. A total of 33 articles were included for full-text analysis where participants took part in a sport and performed dynamic movements relating to performance monitored by wearable technologies. Inertial measurement units, flex sensors and magnetic field and angular rate sensors were among the devices used in over 15 sports to quantify motion. Wearable technology usage is still in an exploratory phase, but there is potential for this technology to positively influence coaching practice and athletes’ technique.

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“…Fiber sensors have been realized for strain [12,13,14], pressure [15,16,17], and chemical monitoring [18]. While there are non-wearable technologies that are able to track movement accurately (i.e., electromagnetic tracking and optoelectronic motion capture [19]), they have limitations that restrict their application in the workplace environment (sophisticated hardware, high cost, non-portable, limited capture space). Flexible fiber strain sensors have the potential for seamless integration into textiles and clothing creating wearable systems for in situ tracking of movements and further quantitative physical exposure measurement for injury risk assessment, with increased mobility and comfort, and without spatial restrictions—such as those with motion capture systems.…”

Section: Introductionmentioning

confidence: 99%

Application-Based Production and Testing of a Core–Sheath Fiber Strain Sensor for Wearable Electronics: Feasibility Study of Using the Sensors in Measuring Tri-Axial Trunk Motion Angles

Rezaei

Cuthbert

Gholami

et al. 2019

Sensors

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Wearable electronics are recognized as a vital tool for gathering in situ kinematic information of human body movements. In this paper, we describe the production of a core–sheath fiber strain sensor from readily available materials in a one-step dip-coating process, and demonstrate the development of a smart sleeveless shirt for measuring the kinematic angles of the trunk relative to the pelvis in complicated three-dimensional movements. The sensor’s piezoresistive properties and characteristics were studied with respect to the type of core material used. Sensor performance was optimized by straining above the intended working region to increase the consistency and accuracy of the piezoresistive sensor. The accuracy of the sensor when tracking random movements was tested using a rigorous 4-h random wave pattern to mimic what would be required for satisfactory use in prototype devices. By processing the raw signal with a machine learning algorithm, we were able to track a strain of random wave patterns to a normalized root mean square error of 1.6%, highlighting the consistency and reproducible behavior of the relatively simple sensor. Then, we evaluated the performance of these sensors in a prototype motion capture shirt, in a study with 12 participants performing a set of eight different types of uniaxial and multiaxial movements. A machine learning random forest regressor model estimated the trunk flexion, lateral bending, and rotation angles with errors of 4.26°, 3.53°, and 3.44° respectively. These results demonstrate the feasibility of using smart textiles for capturing complicated movements and a solution for the real-time monitoring of daily activities.

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Three-dimensional kinematics of the lumbar spine during gait using marker-based systems: a systematic review

Cited by 29 publications

References 60 publications

Is there evidence to use kinematic/kinetic measures clinically in low back pain patients? A systematic review

Is there evidence to use kinematic/kinetic measures clinically in low back pain patients? A systematic review

Exploring the Role of Wearable Technology in Sport Kinematics and Kinetics: A Systematic Review

Application-Based Production and Testing of a Core–Sheath Fiber Strain Sensor for Wearable Electronics: Feasibility Study of Using the Sensors in Measuring Tri-Axial Trunk Motion Angles

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