Free-Living Physical Activity Monitoring in Adult US Patients with Multiple Sclerosis Using a Consumer Wearable Device

The aim of this study was to evaluate the validity of Energy Expenditure (EE) estimation provided by 3 wearable devices [Fitbit-One (FO), Sensewear Armband (AR) and Actiheart (AC)] in a setting of free-living activities. 43 participants (24 females; 23.4±.4,5yrs) performed 9 activities: sedentary (watching video, reading), walking (on treadmill and outdoor), running (on treadmill and outdoor) and moderate-to-vigorous activities (Wii gaming, taking the stairs and playing football). Mean Absolute Percentage Error (MAPE) and Pearson’s correlation were calculated to assess the validity of each instrument in comparison to a portable metabolic analyser (PMA). In overall comparison MAPE’s were 7,7% for AR (r=.86; p<.0001), 8,6% for FO (r=.69; P<.001), and 11.6% for AC (r=.81; p<.0001). These findings support the accuracy of the wearables. The AR was the most accurate in the whole protocol. However, MAPE results suggest that devices algorithms should be improved for better measure of EE during moderate-to-vigorous activities.

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Physical activity monitoring devices: energy expenditure comparison in a setting of free-living activities

International Journal of Physical Education Fitness and Sports ◽

10.26524/jpefs1945 ◽

2019 ◽

Vol 8 (4) ◽

pp. 45-54

Author(s):

Matteo Vandoni ◽

Vittoria Carnevale Pellino ◽

Stefano Dell'Anna ◽

Elena Ricagno ◽

Giulia Liberali ◽

...

Keyword(s):

Physical Activity ◽

Energy Expenditure ◽

Wearable Devices ◽

Activity Monitoring ◽

Percentage Error ◽

Free Living ◽

Sensewear Armband ◽

Absolute Percentage Error ◽

Physical Activity Monitoring ◽

Monitoring Devices

The aim of this study was to evaluate the validity of Energy Expenditure (EE) estimation provided by 3 wearable devices [Fitbit-One (FO), Sensewear Armband (AR) and Actiheart (AC)] in a setting of free-living activities. 43 participants (24 females; 23.4±.4,5yrs) performed 9 activities: sedentary (watching video, reading), walking (on treadmill and outdoor), running (on treadmill and outdoor) and moderate-to-vigorous activities (Wii gaming, taking the stairs and playing football). Mean Absolute Percentage Error (MAPE) and Pearson’s correlation were calculated to assess the validity of each instrument in comparison to a portable metabolic analyser (PMA). In overall comparison MAPE’s were 7,7% for AR (r=.86; p<.0001), 8,6% for FO (r=.69; P<.001), and 11.6% for AC (r=.81; p<.0001). These findings support the accuracy of the wearables. The AR was the most accurate in the whole protocol. However, MAPE results suggest that devices algorithms should be improved for better measure of EE during moderate-to-vigorous activities.

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Recent Advances in Free-Living Physical Activity Monitoring: A Review

Journal of Diabetes Science and Technology ◽

10.1177/193229680700100522 ◽

2007 ◽

Vol 1 (5) ◽

pp. 760-767 ◽

Cited By ~ 43

Author(s):

David Andre ◽

Donna L. Wolf

Keyword(s):

Physical Activity ◽

Activity Monitoring ◽

Free Living ◽

Physical Activity Monitoring ◽

Recent Advances

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Physical activity monitoring to assess disability progression in multiple sclerosis

Multiple Sclerosis Journal - Experimental Translational and Clinical ◽

10.1177/2055217320975185 ◽

2020 ◽

Vol 6 (4) ◽

pp. 205521732097518

Author(s):

Charlotte M Stuart ◽

Aravinthan Varatharaj ◽

Janine Domjan ◽

Sheaba Philip ◽

Ian Galea ◽

...

Keyword(s):

Physical Activity ◽

Multiple Sclerosis ◽

Brain Atrophy ◽

Outcome Measurement ◽

Activity Monitoring ◽

Step Count ◽

Brain Volume Loss ◽

Metabolic Equivalents ◽

Physical Activity Monitoring ◽

Convergent And Divergent Validity

Background Clinical outcome measurement in multiple sclerosis (MS) usually requires a physical visit. Remote activity monitoring (RAM) using wearable technology provides a rational alternative, especially desirable when distance is involved or in a pandemic setting. Objective To validate RAM in progressive MS using (1) traditional psychometric methods (2) brain atrophy. Methods 56 people with progressive MS participated in a longitudinal study over 2.5 years. An arm-worn RAM device measured activity over six days, every six months, and incorporated triaxial accelerometry and transcutaneous physiological variable measurement. Five RAM variables were assessed: physical activity duration, step count, active energy expenditure, metabolic equivalents and a composite RAM score incorporating all four variables. Other assessments every six months included EDSS, MSFC, MSIS-29, Chalder Fatigue Scale and Beck’s Depression Inventory. Annualized brain atrophy was measured using SIENA. Results RAM was tolerated well by people with MS; the device was worn 99.4% of the time. RAM had good convergent and divergent validity and was responsive, especially with respect to step count. Measurement of physical activity over one day was as responsive as six days. The composite RAM score positively correlated with brain volume loss. Conclusion Remote activity monitoring is a valid and acceptable outcome measure in MS.

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