Effects of adjustments to wheelchair seat to back support angle on head, neck, and shoulder postures in subjects with cerebral palsy

Alkhateeb, Afnan M.; Daher, Noha; Forrester, Bonnie J.; Martin, Bradford D.; Jaber, Hatem

doi:10.1080/10400435.2019.1641167

Cited by 7 publications

(9 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Craniovertebral angle (CVA) is the angle between the line joining the tragus of the ear to C7, and the horizontal line at C7, and has high reliability ( r = 0.88) [ 30 , 31 ]. A higher CVA indicated a lower FHP [ 32 ].…”

Section: Methodsmentioning

confidence: 99%

“…Shoulder angle (SA) is the angle between the line joining the C7 to the acromion process, and the horizontal line at the acromion process. A smaller SA represented a greater FHP and kyphotic posture [ 32 ].…”

Section: Methodsmentioning

confidence: 99%

“…Sagittal head angle (SHA) is the angle between the line joining the tragus of the ear to the canthus of the eye, and the horizontal line at the tragus. A lower value of this angle represented a lower FHP [ 32 , 33 ].…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Relationships between cervical sagittal posture, muscle endurance, joint position sense, range of motion and level of smartphone addiction

Torkamani

Mokhtarinia

Vahedi

et al. 2023

BMC Musculoskelet Disord

View full text Add to dashboard Cite

Background Frequent smartphone use in a pathological way forces the user to adopt a compromised posture. This gradually results in changes to both the postural and musculoskeletal systems. This study’s objectives were evaluation of head posture, muscle endurance, neck range of motion (ROM) and joint position sense in two separate smartphone user groups, one ‘Addicted’, the other ‘Non-Addicted’. Methods A sample of convenience (n = 60) was recruited from medical students (age 24.57 ± 4.38, 53.3% male) with a history of smartphones use > 2 h/day for 1-year. Based on the cut-off values of the smartphone addiction scale-short version (SAS-SV), participants were entered into each group (cut-off for male ≥ 31, female ≥ 33). Neck muscle endurance time, joint position error and cervical ROM, along with forward head posture parameters of craniovertebral angle (CVA), shoulder angle (SA), sagittal head angle (SHA) and forward head distance (FHD)) were evaluated. A Mann–Whitney test and Spearman correlation coefficient were used to determine the difference between groups and the correlations between variables. Results The difference between ‘Addicted’ and ‘Non-Addicted’ groups was confirmed by the values for SAS-SV scores (25.23 ± 5.5 versus 43.9 ± 6.61) (p < 0.001). There were statistically significant differences between groups for the CVA and FHD parameters (p < 0.001). Further, the neck extensor muscle endurance (97 ± 3.79 versus 74.86 ± 2.23 s), was significantly different between groups (p = 0.010) but not after Bonferroni correction. There was no notable difference in the neck flexor muscle endurance, joint position error, SA, and SHA parameters between groups (p > 0.05). Conclusions There is a positive correlation between smartphone addiction and both decreased extensor muscle endurance and changes in neck postural alignment.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Relationships between cervical sagittal posture, muscle endurance, joint position sense, range of motion and level of smartphone addiction

Torkamani

Mokhtarinia

Vahedi

et al. 2023

BMC Musculoskelet Disord

View full text Add to dashboard Cite

show abstract

“…According to estimates of the World Health Organization, 75 million people in the world were using a wheelchair in 2018 (WHO 2018). Wheelchairs are needed for mobility in many different kinds of disabilities, among which are amputation and spinal cord injury (Archambault et al 2012;Karmarkar et al 2009;Singh et al 2020;van den Akker et al 2020), paralysis (Aarai et al 2011AlAbboudi et al 2020;Fadhil et al 2019;Kuntal et al 2020;Ruzaij et al 2017), cerebral palsy (Alkhateeb et al 2019;Rodby-Bousquet and Hägglund 2010;Rozas Llontop et al 2020), multiple sclerosis (Devitt et al 2004;Revathi et al 2008;Silveira et al 2020), muscular dystrophy (Bayley et al 2020;Richardson and Frank 2009;Xi et al 2019), traumatic brain injury (Quilico et al 2020;Spaeth et al 2008).…”

Section: Introductionmentioning

confidence: 99%

A simulator for both manual and powered wheelchairs in immersive virtual reality CAVE

et al. 2021

View full text Add to dashboard Cite

A large number of people in the world need to use a wheelchair because of different disabilities. Driving a wheelchair requires complex physical and cognitive abilities which need to be trained. Virtual training helps users acquire driving skills in a safe environment. The aim of this paper is to describe and technically validate simulation models for both manual (MW) and powered wheelchairs (PW) based on immersive virtual reality CAVE (VR). As VR system, the Gait Real-time Analysis Interactive Lab (GRAIL) was used, a CAVE equipped with a motion platform with two degrees of freedom and an optoelectronic motion capture system. A real wheelchair was positioned onto the motion platform with rear wheels free to turn in MW modality, and a commercial joystick was installed on an armrest to simulate the PW modality. Passive markers were used to track the wheel rotation, the joystick and the user hand motion. Custom D-flow applications were developed to manage virtual scene response to user actions. Overground tests, based on single wheel rotation, were performed to verify the simulation model reliability. Quantitative results demonstrated that the MW simulator kinematics was consistent with a real wheelchair overground in the absence of wheel slip and inertia (median error for MW 0.40 °, no systematic bias p = 0.943, high correlation rho > 0.999, p < 0.01). The proposed solution is flexible and adaptable to different wheelchairs, joysticks and optoelectronic systems. The main limitation is the absence of force feedback. Nevertheless, it is a reliable prototype that can be used to validate new virtual scenarios as well as for wheelchair training. The next steps include the system validation with real end users and assessment of the simulator effectiveness as a training tool.

show abstract

“…There are several examples of devices [9][10][11][12][13][14][15][16][17]. Alkhateeb shows one of them, where the seat's effect to back support angle adjustments on head, neck, and shoulder postural alignment in people with cerebral palsy [18]. The work presented by Hong determined if people with several types of wheelchair backrests experience distinct comfort levels.…”

Section: Introductionmentioning

confidence: 99%

Design of an Automated Multiposition Dynamic Wheelchair

Aguilar-Peréz

Paredes-Rojas

Sanchez-Cruz

et al. 2021

Sensors

View full text Add to dashboard Cite

This work presents a design for an automatized multiposition dynamic wheelchair used to transport quadriplegic patients by reconfiguring a manual wheelchair structure. An electric actuator is attached to a four-bar mechanism fixed to each side of a wheelchair’s backrest to reach multiposition. The entire device is actuated through a PID controller. An experimental test is carried out in a simplified wheelchair structure. Finally, the structure of the wheelchair is evaluated through the Dynamic analysis and Finite Element Method under the payload computed with the most critical position reached by the mechanism.

show abstract

Effects of adjustments to wheelchair seat to back support angle on head, neck, and shoulder postures in subjects with cerebral palsy

Cited by 7 publications

References 23 publications

Relationships between cervical sagittal posture, muscle endurance, joint position sense, range of motion and level of smartphone addiction

Relationships between cervical sagittal posture, muscle endurance, joint position sense, range of motion and level of smartphone addiction

A simulator for both manual and powered wheelchairs in immersive virtual reality CAVE

Design of an Automated Multiposition Dynamic Wheelchair

Contact Info

Product

Resources

About