scholarly journals Adherence with physical activity monitoring wearable devices in a community-based population: observations from the Washington, D.C., Cardiovascular Health and Needs Assessment

2017 ◽  
Vol 7 (4) ◽  
pp. 719-730 ◽  
Author(s):  
Leah R Yingling ◽  
Valerie Mitchell ◽  
Colby R Ayers ◽  
Marlene Peters-Lawrence ◽  
Gwenyth R Wallen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Needs Assessment ◽  
Cardiovascular Health ◽  
Wearable Devices ◽  
Activity Monitoring ◽  
Community Based ◽  
Physical Activity Monitoring

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

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.

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

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.

scholarly journals Wearable-Based Mobile Health App in Gastric Cancer Patients for Postoperative Physical Activity Monitoring: Focus Group Study

10.2196/11989 ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. e11989 ◽  
Author(s):  
Jin-Ming Wu ◽  
Te-Wei Ho ◽  
Yao-Ting Chang ◽  
ChungChieh Hsu ◽  
Chia Jui Tsai ◽  
...  
Keyword(s):  
Physical Activity ◽  
Gastric Cancer ◽  
Focus Group ◽  
Cancer Patients ◽  
Mobile Health ◽  
Activity Monitoring ◽  
Focus Group Study ◽  
Physical Activity Monitoring ◽  
Gastric Cancer Patients
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