Shoulder Pain Is Associated With Rate of Rise and Jerk of the Applied Forces During Wheelchair Propulsion in Individuals With Paraplegic Spinal Cord Injury

Beirens, Benjamin J.H.; Bossuyt, Fransiska M; Arnet, Ursina; Woude, Lucas H V van der; Vries, W. de

doi:10.1016/j.apmr.2020.10.114

Cited by 13 publications

(27 citation statements)

References 36 publications

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“…In the literature, there are numerous suggestions that shoulder load leads to shoulder problems [ 2 , 14 , 17 , 18 , 22 , 23 , 24 , 25 , 26 , 27 , 28 ], but there is only scattered evidence of such a relationship. Several cross-sectional studies have described the associations of single components of shoulder load (e.g., rate of rise of exerted force, direction of exerted force, propulsion pattern) with either pain or pathology [ 24 , 29 , 30 , 31 , 32 , 33 ].…”

Section: Introductionmentioning

confidence: 99%

Classification of Wheelchair Related Shoulder Loading Activities from Wearable Sensor Data: A Machine Learning Approach

Vries

Amrein

Arnet

et al. 2022

Sensors

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Shoulder problems (pain and pathology) are highly prevalent in manual wheelchair users with spinal cord injury. These problems lead to limitations in activities of daily life (ADL), labor- and leisure participation, and increase the health care costs. Shoulder problems are often associated with the long-term reliance on the upper limbs, and the accompanying “shoulder load”. To make an estimation of daily shoulder load, it is crucial to know which ADL are performed and how these are executed in the free-living environment (in terms of magnitude, frequency, and duration). The aim of this study was to develop and validate methodology for the classification of wheelchair related shoulder loading ADL (SL-ADL) from wearable sensor data. Ten able bodied participants equipped with five Shimmer sensors on a wheelchair and upper extremity performed eight relevant SL-ADL. Deep learning networks using bidirectional long short-term memory networks were trained on sensor data (acceleration, gyroscope signals and EMG), using video annotated activities as the target. Overall, the trained algorithm performed well, with an accuracy of 98% and specificity of 99%. When reducing the input for training the network to data from only one sensor, the overall performance decreased to around 80% for all performance measures. The use of only forearm sensor data led to a better performance than the use of the upper arm sensor data. It can be concluded that a generalizable algorithm could be trained by a deep learning network to classify wheelchair related SL-ADL from the wearable sensor data.

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Section: Introductionmentioning

confidence: 99%

Classification of Wheelchair Related Shoulder Loading Activities from Wearable Sensor Data: A Machine Learning Approach

Vries

Amrein

Arnet

et al. 2022

Sensors

Self Cite

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“…Además, se debe modificar la técnica de propulsión de la silla de ruedas, dado que si bien las fuerzas que se dirigen en forma tangencial al aro de propulsión generan una mejor fuerza de empuje, también se constituyen en un factor de riesgo para el surgimiento de dolor, pues generan una mayor sobrecarga y demanda física. Por lo tanto, se deben recomendar 'golpes' al aro de propulsión que sean suaves y prolongados, lo cual permite un periodo de contacto más largo entre la mano y el aro, al tiempo que disminuye la frecuencia de golpes; también se recomienda hacer pausas en los tiempos de propulsión y utilizar una tabla deslizante para facilitar los traslados 15 .…”

Section: Dolor De Origen Nociceptivounclassified

Dolor en la persona con lesión medular

Salinas-Durán

2022

Rev Col Med Fis Rehab

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El dolor es una complicación frecuente luego de una lesión medular y afecta la calidad de vida de la persona que lo sufre. Puede ser de causa musculoesquelética, visceral o, el más difícil de tratar, el neuropático. Este artículo resume los distintos tipos de dolor, su fisiopatología y las opciones terapéuticas, tanto farmacológicas como de otros tipos, que se le pueden ofrecer al paciente.

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“…Therefore, understanding the interplay between shoulder pain and wheelchair propulsion biomechanics is of clinical importance but remains surprisingly unclear. Previous studies have identified an association between shoulder pain and wheelchair propulsion parameters such as greater peak magnitude, rate of rise and jerk of push rim forces and lower kinetic and scapular kinematic variability (Beirens et al, 2020;Briley et al, 2020b;Dysterheft et al, 2017;Rice et al, 2014). However, these findings are based on cross-sectional studies; as a result, the time-varying relationship between shoulder pain symptoms and wheelchair propulsion biomechanics is currently undetermined.…”

Section: Introductionmentioning

confidence: 98%

The longitudinal relationship between shoulder pain and altered wheelchair propulsion biomechanics of manual wheelchair users

Briley

Vegter

Goosey-Tolfrey

et al. 2021

Journal of Biomechanics

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Shoulder Pain Is Associated With Rate of Rise and Jerk of the Applied Forces During Wheelchair Propulsion in Individuals With Paraplegic Spinal Cord Injury

Cited by 13 publications

References 36 publications

Classification of Wheelchair Related Shoulder Loading Activities from Wearable Sensor Data: A Machine Learning Approach

Classification of Wheelchair Related Shoulder Loading Activities from Wearable Sensor Data: A Machine Learning Approach

Dolor en la persona con lesión medular

The longitudinal relationship between shoulder pain and altered wheelchair propulsion biomechanics of manual wheelchair users

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