Physical activity monitoring: Addressing the difficulties of accurately detecting slow walking speeds

Harrison, Samantha; Horton, E. W.; Smith, Robert; Sandland, Carolyn; Steiner, Michael; Morgan, Mike; Singh, Sally

doi:10.1016/j.hrtlng.2013.06.004

Cited by 14 publications

(8 citation statements)

References 20 publications

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“…Fig. 2 14.0, 26.9) during the ergocycling exercise. Increases in EE over the 10-h period from visit 3 to visit 4 to visit 5 followed the increased intensities on the treadmill, as designed.…”

Section: Resultsmentioning

confidence: 95%

“…skin temperature) to estimate EE. It showed good reliabilities over a large range of activities, from rest 2,4 to cycling 12,13 but underestimated EE during low speed walking on treadmill 14 and during high intensity exercises. 15,16 Its validity to estimate TEE has been assessed using the DLW technique; improved precision was found with newer versions of the sensor (Pro3) and its software (Innerview 6.1) 2,3,17 compared to previous (Pro 2; Innerview 4.1), 4 but SWA still underestimates TEE compared to DLW (−112 2 and −117 4 kcal/day).…”

Section: Introductionmentioning

confidence: 98%

See 1 more Smart Citation

Validation and reliability of two activity monitors for energy expenditure assessment

Brazeau

Beaudoin

Belisle

et al. 2016

Journal of Science and Medicine in Sport

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Section: Resultsmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 98%

Validation and reliability of two activity monitors for energy expenditure assessment

Brazeau

Beaudoin

Belisle

et al. 2016

Journal of Science and Medicine in Sport

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“…The robustness of the measure during walking at slow speed is of particular interest in clinical research [ 16 ]. An additional factor that could affect the accuracy of step detection is, of course, the walking environment.…”

Section: Introductionmentioning

confidence: 99%

Step Detection and Activity Recognition Accuracy of Seven Physical Activity Monitors

2015

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The aim of this study was to compare the seven following commercially available activity monitors in terms of step count detection accuracy: Movemonitor (Mc Roberts), Up (Jawbone), One (Fitbit), ActivPAL (PAL Technologies Ltd.), Nike+ Fuelband (Nike Inc.), Tractivity (Kineteks Corp.) and Sensewear Armband Mini (Bodymedia). Sixteen healthy adults consented to take part in the study. The experimental protocol included walking along an indoor straight walkway, descending and ascending 24 steps, free outdoor walking and free indoor walking. These tasks were repeated at three self-selected walking speeds. Angular velocity signals collected at both shanks using two wireless inertial measurement units (OPAL, ADPM Inc) were used as a reference for the step count, computed using previously validated algorithms. Step detection accuracy was assessed using the mean absolute percentage error computed for each sensor. The Movemonitor and the ActivPAL were also tested within a nine-minute activity recognition protocol, during which the participants performed a set of complex tasks. Posture classifications were obtained from the two monitors and expressed as a percentage of the total task duration.The Movemonitor, One, ActivPAL, Nike+ Fuelband and Sensewear Armband Mini underestimated the number of steps in all the observed walking speeds, whereas the Tractivity significantly overestimated step count. The Movemonitor was the best performing sensor, with an error lower than 2% at all speeds and the smallest error obtained in the outdoor walking. The activity recognition protocol showed that the Movemonitor performed best in the walking recognition, but had difficulty in discriminating between standing and sitting. Results of this study can be used to inform choice of a monitor for specific applications.

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“…Limitations of the present work should be considered. The SWA may not have been sensitive enough to detect all steps taken by patients, such as those taken at a walking speed <1.8 km/h, leading to an underestimation of step count . In addition, the SWA only permits data to be exported in 60‐s epochs.…”

Section: Discussionmentioning

confidence: 99%

Changes in physical activity during hospital admission for chronic respiratory disease

et al. 2019

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Background and objective: Establishing the amount of inpatient physical activity (PA) undertaken by individuals hospitalized for chronic respiratory disease is needed to inform interventions. This observational study investigated whether PA changes when a person is an inpatient, how long is required to obtain representative PA measures and whether PA varies within a day and between patients of differing lengths of stay. Methods: A total of 389 participants were recruited as early as possible into their hospitalization. Patients wore a PA monitor from recruitment until discharge.Step count was extracted for a range of wear time criteria. Single-day intraclass correlation coefficients (ICC) were calculated, with an ICC ≥ 0.80 deemed acceptable. Results: PA data were available for 259 participants. No changes in daily step count were observed during the inpatient stay (586 (95% CI: 427-744) vs 652 (95% CI: 493-812) steps/day for day 2 and 7, respectively). ICC across all wear time criteria were > 0.80. The most stringent wear time criterion, retaining 80% of the sample, was ≥11 h on ≥1 day. More steps were taken during the morning and afternoon than overnight and evening. After controlling for the Medical Research Council (MRC) grade or oxygen use, there was no difference in step count between patients admitted for 2-3 days (short stay) and those admitted for 7-14 days (long stay). Conclusion: Patients move little during their hospitalization, and inpatient PA did not increase during their stay. A wear time criterion of 11 waking hours on any single day was representative of the entire admission whilst retaining an acceptable proportion of the initial sample size. Patients may need encouragement to move more during their hospital stay.Objectively measured inpatient physical activity (PA) was examined for 259 individuals hospitalized due to an acute exacerbation of chronic respiratory disease. PA did not recover as an inpatient, with patients averaging 616 AE 649 steps/day. A single day of PA monitoring provided data representative of the entire inpatient stay.

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Physical activity monitoring: Addressing the difficulties of accurately detecting slow walking speeds

Cited by 14 publications

References 20 publications

Validation and reliability of two activity monitors for energy expenditure assessment

Validation and reliability of two activity monitors for energy expenditure assessment

Step Detection and Activity Recognition Accuracy of Seven Physical Activity Monitors

Changes in physical activity during hospital admission for chronic respiratory disease

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