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1 lk test <50% predicted or use of rollator or wheelchair.
2 osture is highly likely to slip out of their wheelchair.
3 people in the world whose mobility relies on wheelchairs.
4 ke non-pneumatic tyre (FS-NPT) technology in wheelchairs.
5 for operating devices, such as computers and wheelchairs.
6 lking assistance or support, and 10 required wheelchairs.
7 stive technologies, including prostheses and wheelchairs.
8 p=0.0023); and confirmed time to requiring a wheelchair, 11.5% vs 18.9% (7.4% [0.8-13.9]; p=0.0274).
9 (19.2%), lower extremity orthotics (12.3%), wheelchair (9.6%), oxygen (9.0%), and urinary catheter e
13 tive cohort study compared patients who used wheelchairs and controls (propensity score matched 1:1 u
15 helicopters, and real-world objects, such as wheelchairs and quadcopters, has demonstrated the promis
17 atient who was obese and hemiparetic, used a wheelchair, and could not self-transfer from chair to ex
19 ed analysis, excluding patients who required wheelchair assistance, showed a significant improvement
23 d severe functional disability, with 9 being wheelchair bound, and 18 had late-onset disease and a mi
33 vestigated fracture risk in patients who use wheelchairs compared with an ambulatory control group.
34 ural prosthetic that could provide input for wheelchair control by decoding navigational intent from
41 onset, time to disease progression, time to wheelchair dependence and age at death all differed sign
44 those with GAD65 autoimmunity progressed to wheelchair dependence at a rate similar to those with PM
45 -Meier analyses revealed that progression to wheelchair dependence occurred significantly faster amon
47 medication use add to the risk for need for wheelchair dependence, raising the possibility for bette
49 oth patients returned to everyday life, from wheelchair dependency to bicycling and mountain hiking,
50 adolescence, and patients slowly progress to wheelchair dependency usually in the late teens or early
54 more likely than those without tremor to be wheelchair dependent and have a worse Expanded Disabilit
57 s (frequent falls, use of urinary catheters, wheelchair dependent, unintelligible speech, cognitive i
60 ean age: 8.9 +/- 6.4 years, SD) and 54% were wheelchair-dependent (mean age: 13.4 +/- 9.8 years, SD).
62 use of ankle-foot orthoses, full-time use of wheelchair, dexterity difficulties and also has signific
65 the Emperor Penguin Optimized Sensor-Infused Wheelchair (EPIC), has been designed to monitor the posi
68 ible speech, severe dysphagia, dependence on wheelchair for mobility, the use of urinary catheters an
76 misapplication of Medicare funds for powered wheelchairs, more than a decade after similar concerns w
78 re or a recently paralyzed user of a powered wheelchair must learn to operate machinery via interface
79 d half of the patients (53%) needed to use a wheelchair on average 24.1 years after symptom onset.
86 uscle weakness from birth, are confined to a wheelchair, require ventilator assistance, and have redu
87 lts in developmental delay, confinement to a wheelchair, respiratory insufficiency and premature deat
89 xamined 74 individuals participating in team wheelchair sports who were experiencing shoulder pain.
90 a cane, crutches, motorized scooter, walker, wheelchair, stretcher, assistance standing, or transport
92 f fall injury was lower among those who used wheelchairs than among ambulatory controls (unadjusted H
93 orted inability to transfer a patient from a wheelchair to an examination table, and 22 (9%) reported
96 stiffness tuning could enable personalising wheelchair tyres to meet the specific needs of individua
98 progression to falls (P = 0.03) and regular wheelchair use (P = 0.02) in comparison to the multiple
99 ales were more likely overall to progress to wheelchair use and at a faster rate as compared to males
102 the effect of allele size on progression to wheelchair use is small compared to disease duration, wh
103 ge, 3-50 years) and a mean (SD) age at first wheelchair use of 26 (9) years (age range, 11-64 years).
104 e randomized (1:1) to standard of care (SOC) wheelchair use or SOC plus at-will use of a US Food and
105 ings suggest that immobility associated with wheelchair use should not be considered a risk factor fo
106 retrospective cohort study of older adults, wheelchair use was associated with a lower risk of fract
107 Shorter time from onset of progression to wheelchair use was associated with higher prevalence of
108 tive epidemiological techniques, and risk of wheelchair use was determined using Cox proportional haz
109 ic data including clinical diagnosis, age at wheelchair use, age at loss of ambulation, and presence
110 is a slowly progressive disease, leading to wheelchair use, on average, 12-20 years after onset of s
111 tices for environmental and personal safety, wheelchair use, psychotropic drug use, and transferring
116 evaluate the psychometric properties of the Wheelchair User's Shoulder Pain Index (WUSPI-Pol) in whe
117 w 50% was as risk factor for being full-time wheelchair user, while FVC <70% and being a full-time wh
119 d social force model, explicitly integrating wheelchair users and visually impaired individuals.
120 eled mobility service delivery for long-term wheelchair users with complex rehabilitation needs and p
123 k (DMN) was used to predict the posture of a wheelchair-using patient following the feature selection
126 of existing pneumatic tyres commonly used in wheelchairs while achieving higher rotational stiffness
127 nic ambulatory disabilities requiring use of wheelchairs who were recruited from advocacy and support