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. 2018 Aug 20;23(3):236–243. doi: 10.1016/j.bjpt.2018.08.003

Table 2.

Participants’ characteristics for a study looking at the validity of accelerometer and smartphone applications in estimating energy expenditure in stroke patients.

Characteristics n = 30
Age (yrs.), mean ± SD (range: min − max) 62 ± 12 (24–82)
Sex (men/women), n 21/9
Body mass (kg), mean ± SD (range: min − max) 75.0 ± 12.2 (50–99)
Height (cm), mean ± SD (range: min − max) 164.7 ± 8.6 (142–184)
Time since stroke (months), mean ± SD (range: min − max) 98.5 ± 96.1 (9–412)
Side of paresis (left/right), n 17/13
MMES (scores: 0–30), mean ± SD 26 ± 3



Gait speed (m/s), mea n ± SD (range: min − max)
 -Comfortable speed 0.8 ± 0.3 (0.3–1.4)
 -Fastest speed 1.3 ± 1.0 (0.5–2.3)
Fugl-Meyer lower-limb section (score: 0–34), mean ± SD 19 ± 5



Tonus of the knee extensor muscles (MAS score: 0–4), n
 −0 18
 −1 8
 −2 2
 −3 1
 −4 1



Residual weakness (% ± SD)
 -Knee extensors 11.3 ± 4.8
 -Ankle plantar flexors 20.0 ± 3.3
 -Ankle dorsiflexors 19.4 ± 3.9

SD = standard deviation, min = minimum, max = maximum, yrs. = years.