Comparative accuracy of a shoulder range motion measurement sensor and Vicon 3D motion capture for shoulder abduction in frozen shoulder

Park, Chanhee; An, Yeongsang; Yoon, Hyunsik; Park, Ilbong; Kim, Dong Kyu; Kim, Chungyoo; Cha, Youngjoo

doi:10.3233/thc-228024

Cited by 10 publications

(4 citation statements)

References 18 publications

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“…Due to the high accuracy of the Vicon system, ref. [218] used the equipment as a gold standard to compare the MoCap and kinematic measurement validity with an Artificial Intelligence (AI)-based image recognition detectable sensor [219,220].…”

Section: Active and Passive Optical Motion Capture Systemsmentioning

confidence: 99%

The Role of Emergent Technologies in the Dynamic and Kinematic Assessment of Human Movement in Sport and Clinical Applications

Edriss,

Romagnoli,

Caprioli

et al. 2024

Applied Sciences

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Physical activity analysis assessment has been a concern throughout human history. The intersection of technological growth with sports has given rise to a burgeoning field known as sports engineering. In the 19th century, the advent of chrono-photography and pioneering marked the inception of sports performance analysis. In recent years, the noticeable developments achieved in wearable low-power electronics with wireless high interconnection capability, as a part of modern technologies, have aided us in studying sports parameters such as motor behavior, biomechanics, equipment design, and materials science, playing an essential role in the understanding of sports dynamics. This study aims to review over 250 published articles since 2018, focusing on utilizing and validating these emergent technologies in sports and clinical aspects. It is predicted that one of the next steps in sports technology and engineering development will be using algorithms based on artificial intelligence to analyze the measurements obtained by multi-sensor systems (sensor fusion) to monitor biometric and physiological parameters in performance analysis and health assessments.

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Section: Active and Passive Optical Motion Capture Systemsmentioning

confidence: 99%

The Role of Emergent Technologies in the Dynamic and Kinematic Assessment of Human Movement in Sport and Clinical Applications

Edriss,

Romagnoli,

Caprioli

et al. 2024

Applied Sciences

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“…Previous methods for automated assessment of shoulder function in humans relied on expensive marker-or sensor-based techniques [13][14][15][16][17][18] . Instead, we capitalize on recent advances in machine learning to implement lowcost markerless motion capture of string pulling behavior videos 19 .…”

Section: Introductionmentioning

confidence: 99%

A Tool for Low-Cost, Quantitative Assessment of Shoulder Function Using Machine Learning

Darevsky

Gomez

et al. 2023

Preprint

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Tears within the stabilizing muscles of the shoulder, known as the rotator cuff (RC), are the most common cause of shoulder pain often presenting in older patients and requiring expensive, advanced imaging for diagnosis. Despite the high prevalence of RC tears within the elderly population, there are no accessible and low cost methods to assess shoulder function which can eschew the barrier of an in person physical exam or imaging study. Here we show that a simple string pulling behavior task, where subjects pull a string using hand over hand motions, provides a reliable readout of shoulder health across animals and humans. We find that both mice and humans with RC tears exhibit decreased movement amplitude, prolonged movement time, and quantitative changes in waveform shape during string pulling task performance. In rodents, we further note the degradation of low dimensional, temporally coordinated movements after injury. Furthermore, a predictive model built on our biomarker ensemble succeeds in classifying human patients as having a RC tear with >90% accuracy. Our results demonstrate how a combined framework bridging task kinematics, machine learning, and algorithmic assessment of movement quality enables future development of smartphone based, at home diagnostic tests for shoulder injury.

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“…24 Although it is not possible to define a univocal protocol to date, rehabilitation treatments play a pivotal role in the management of FS, and comprise patient education, stretching exercises, joint mobilization, and manual therapy. 4,[25][26][27] Physical modalities such as low-level laser therapy (LLLT), magnetotherapy, ultrasound (US) therapy, and transcutaneous electrical nerve stimulation (TENS) are also commonly used. [28][29][30] Manipulation under anesthesia (MUA) is another possible procedure which involves scapular stabilization with subsequent flexion, extension, abduction, adduction, internal and external rotation of the shoulder until reaching the final degrees of movement following anesthesia.…”

Section: Introductionmentioning

confidence: 99%

Non-Surgical and Rehabilitative Interventions in Patients with Frozen Shoulder: Umbrella Review of Systematic Reviews

Sire¹,

Agostini²,

Bernetti³

et al. 2022

JPR

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Background Frozen shoulder (FS) is a painful condition characterized by progressive loss of shoulder function with passive and active range of motion reduction. To date, there is still no consensus regarding its rehabilitative treatment for pain management. Purpose The aim of this umbrella review of systematic reviews was to analyze the literature, investigating the effects of non-surgical and rehabilitative interventions in patients suffering from FS. Patients and Methods A review of the scientific literature was carried out from 2010 until April 2020 using the following search databases: PubMed, Medline, PEDro, Scopus and Cochrane Library of Systematic Reviews. A combination of terms was used for the search: frozen shoulder OR adhesive capsulitis AND systematic review OR meta-analysis AND rehabilitation NOT surgery NOT surgical intervention. We included systematic reviews that specifically dealt with adults with FS, treated with non-surgical approaches. All the systematic reviews and meta-analyses included in the study that met the inclusion criteria were assessed using the Assessment of Multiple Systematic Reviews as a quality assessment tool. Results Out of 49 studies, only 14 systematic reviews respected the eligibility criteria and were included in this study. Their results showed an important heterogeneity of the studies and all of them agree on the lack of high-quality scientific work to prove unequivocally which rehabilitative treatment is better than the other. Due to this lack of gold standard criteria, there may be also a heterogeneity in the diagnosis of the reviews analyzed. Conclusion Non-surgical and rehabilitative interventions are undoubtedly effective in treating FS, but there is no evidence that one approach is more effective than the other regarding the methods reported. Future high-quality RCTs are needed to standardize the treatment modalities of each physiotherapy intervention to provide strong recommendations in favor.

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Comparative accuracy of a shoulder range motion measurement sensor and Vicon 3D motion capture for shoulder abduction in frozen shoulder

Cited by 10 publications

References 18 publications

The Role of Emergent Technologies in the Dynamic and Kinematic Assessment of Human Movement in Sport and Clinical Applications

The Role of Emergent Technologies in the Dynamic and Kinematic Assessment of Human Movement in Sport and Clinical Applications

A Tool for Low-Cost, Quantitative Assessment of Shoulder Function Using Machine Learning

Non-Surgical and Rehabilitative Interventions in Patients with Frozen Shoulder: Umbrella Review of Systematic Reviews

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