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Table 3 Summary of the accuracy of multi-sensor devices in persons who use wheelchairs during laboratory protocols

From: Measurement of Physical Activity and Energy Expenditure in Wheelchair Users: Methods, Considerations and Future Directions

Study

Samplea

Criterion measure

Activity protocol

Device and location

Results

Conger et al.[109]

14 (3 F).

SCI (n = 7) SB (n = 4) AMP (n = 2) Other (n = 1)

IC EE

(Oxycon Mobile)

Five different wheeling activities. Propulsion on a level surface (4.5, 5.5 & 6.5 km/h), wheeling on a rubberised 400 m track (5.5 km/hr) & wheeling on a sidewalk course at a S-S speed

Actical on right wrist

No sig. differences between criterion method and Actical EE (±9 – 25%)

SWA on right upper arm

Sig. overestimated EE during wheelchair propulsion (+30 - 80%)

SWA using SCI general model (Hiremath and Ding, [70])

↓ EE prediction error (+27-43%), yet, this was still elevated during higher intensity activities

Hiremath & Ding [40]

24 SCI (5 F) (T3-L4)

IC EE (COSMED K4b2)

Resting and three activity routines; propulsion (performed on a WERG and flat tiled surface), ACE (20-40) and deskwork

Estimated EE from RT3 tri-axial ACC worn on the waist

RS = 0.72 for all activities (↓ for propulsion; RS = 0.44, ↑ for deskwork; RS = 0.66). EE estimation errors ranged from 22.0 to 52.8%. Poor ICCs 0.64

Estimated EE from SWA worn on the upper arm (manufacturer’s model)

RS = 0.84 for all activities (↓ for deskwork; RS = 0.65, ↑ for propulsion; RS = 0.76). EE estimation errors ranged from 24.4 to 125.8%. Poor ICCs 0.62. Neither device is an appropriate tool for quantifying EE (<0.75)

Hiremath et al. [70]c

45 (8 F)

(C4–L4)

IC EE (COSMED K4b2)

Estimated EE from SWA worn on the upper arm (manufacturer’s model)

ICC = 0.64 (95% CI; 0.57–0.70)

M ± E = 51.5 ± 31.6%

MAE = 2.0 kcal · min-1 (59.2%)

Estimated EE from SWA worn on the upper arm (SCI general model)

ICC = 0.72 (95% CI; 0.66 – 0.77)

M ± E = -10.4 ± 11.8%

MAE = 0.9 kcal · min-1 (24.7%)

Estimated EE from SWA worn on the upper arm (activity-specific model)

ICC = 0.86 (95% CI; 0.82–0.88)

M ± E = −9.6 ± 10.9%

MAE = 0.6 kcal · min-1 (16.8%)

Tsang et al. [71]c

45 SCIb (6 F)

(C5 – L5)

IC EE (COSMED K4b2)

Participants performed 10 activities from a list that included a range of activities and exercise of differing intensities

Estimated EE from SWA worn on the upper arm (manufacturer’smodel)

ICC = 0.62 (95% CI; 0.16 – 0.81)

M ± E = 39.6 ± 37.8%

MAE = 43.3 ± 33.5%

Estimated EE from SWA worn on the upper arm (SCI general model)

ICC = 0.86 (95% CI; 0.82 – 0.89)

M ± E = 2.8 ± 26.1%

MAE = 20.6 ± 16.2%

Estimated EE from SWA worn on the upper arm (activity-specific model)

ICC = 0.83 (95% CI; 0.79 – 0.87)

M ± E = 4.8 ± 25.4%

MAE = 19.6 ± 16.8%

Nightingale et al. [75]

15.

SCI (n = 8), SB (n = 3), CP (n = 1), AMP (n = 1),

Other (n = 2)

IC PAEE (TrueOne 2400, ParvoMedics)

A wheelchair propulsion protocol across a range of treadmill velocities (3–7 km/h and gradients (1–3%) including load carriage (+8% body mass) and a folding clothes task

ActiheartTM using manufacturers proprietary algorithms

r = 0.76 (P < 0.01), SEE = 1.07 kcal · min-1

mean bias ± 95% LoA = 0.51 ± 3.75 kcal · min-1

MAE = 1.35 kcal · min-1 (51.4%)

ActiheartTM using individual heart rate calibration

r = 0.95 (P < 0.01), SEE = 0.49 kcal · min-1

mean bias ± 95% LoA = - 0.22 ± 0.96 kcal · min-1

MAE = 0.39 kcal · min-1 (16.8%)

  1. ACC accelerometers, ACE arm crank ergometry, AHR ActiheartTM, AMP amputee, CP cerebral palsy, EE energy expenditure, IC indirect calorimetry, LoA limits of agreement, MAE mean absolute error, PAEE physical activity energy expenditure, SB Spina Bifida, SCI spinal cord injury, SEE standard error of estimate, SWA SenseWear® Armband, S-S self-selected, WERG wheelchair ergometer
  2. aAll male participants unless stated otherwise
  3. bIndependent sample of participants to previous Hiremath et al. [70] trial in table
  4. c Note to avoid confusion and make interpretation easier direction, + or − before M ± E statistics has been switched to reflect whether prediction method over or under predicts EE