Bruxist Activity Monitor System (BAMS): An instrumental approach tool in the assessment of Bruxism

2021 ◽  
Author(s):  
Bernardo Flores-Ramirez ◽  
Julian Oreggioni ◽  
Fernando Angeles-Medina ◽  
Marcelo Kreiner ◽  
Nicolas Pacheco-Guerrero ◽  
...  
Keyword(s):  
Activity Monitor ◽  
Monitor System ◽  
Instrumental Approach

scholarly journals Using an electronic activity monitor system as an intervention modality: A systematic review

2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Zakkoyya H. Lewis ◽  
Elizabeth J. Lyons ◽  
Jessica M. Jarvis ◽  
Jacques Baillargeon
Keyword(s):  
Systematic Review ◽  
Activity Monitor ◽  
Monitor System ◽  
Electronic Activity ◽  
Intervention Modality

Validity of an Accelerometer-Based Activity Monitor System for Measuring Physical Activity in Frail Older Adults

2016 ◽  
Vol 24 (4) ◽  
pp. 555-558 ◽  
Author(s):  
Anne M. Hollewand ◽  
Anouk G. Spijkerman ◽  
Henk J.G. Bilo ◽  
Nanne Kleefstra ◽  
Yvo Kamsma ◽  
...  
Keyword(s):  
Physical Activity ◽  
Outcome Measures ◽  
Sensitivity And Specificity ◽  
Home Environment ◽  
Primary Outcome ◽  
Activity Monitor ◽  
Monitor System ◽  
Groningen Frailty Indicator ◽  
Older Subjects ◽  
Frailty Indicator

This study aimed to investigate the validity of the accelerometer-based DynaPort system to detect physical activity in frail, older subjects. Eighteen home-dwelling subjects (Groningen Frailty Indicator [GFI] score ≥ 4, ≥ 75 years) were included. Activities in their home environment were simultaneously observed by two researchers and measured with the DynaPort system during six consecutive hours. Primary outcome measures were the sensitivity and specificity of the DynaPort for locomotion (90% considered as sufficient agreement). Other outcome measures were overall agreement, and sensitivity and specificity for other activities. Sensitivity and specificity for locomotion were 83.3% and 100.0%, respectively. Overall agreement was 74.6%. Sensitivity was sufficient for sitting (94.4%), but not for lying and standing (59.2% and 69.6%, respectively). Specificity was sufficient for lying and standing (100.0% and 93.3%, respectively), but not for sitting (80.7%). In conclusion, the DynaPort system is not a valid method for assessing physical activity in frail, older subjects.

Detection of physical activities using a physical activity monitor system for wheelchair users

2015 ◽  
Vol 37 (1) ◽  
pp. 68-76 ◽  
Author(s):  
Shivayogi V. Hiremath ◽  
Stephen S. Intille ◽  
Annmarie Kelleher ◽  
Rory A. Cooper ◽  
Dan Ding
Keyword(s):  
Physical Activity ◽  
Activity Monitor ◽  
Physical Activities ◽  
Monitor System ◽  
Wheelchair Users

Development of an affordable hi-resolution activity monitor system for laboratory animals

1996 ◽  
Vol 54 (2) ◽  
pp. 479-483 ◽  
Author(s):  
Martin H. Teicher ◽  
Susan L. Andersen ◽  
Paul Wallace ◽  
Diane A. Klein ◽  
Jack Hostetter
Keyword(s):  
Activity Monitor ◽  
Laboratory Animals ◽  
Monitor System

The Automatic Counts Monitor System of the Capture Insect

2011 ◽  
Vol 65 (5) ◽  
pp. 457-459
Author(s):  
Satoshi Motosugi
Keyword(s):  
Monitor System

Clinical walker-assisted gait analysis: Methodological and instrumental approach

2011 ◽  
Vol 33 ◽  
pp. S36-S37
Author(s):  
Conte Davide ◽  
Baldan Francesco ◽  
Petrone Nicola ◽  
Capelli Carlo
Keyword(s):  
Gait Analysis ◽  
Instrumental Approach

scholarly journals Effect of mindfulness on physical activity in primary healthcare patients: a randomised controlled trial pilot study

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Peter Nymberg ◽  
Susanna Calling ◽  
Emelie Stenman ◽  
Karolina Palmér ◽  
Eva Ekvall Hansson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Study Design ◽  
Controlled Trial ◽  
Dropout Rate ◽  
Activity Monitor ◽  
Activity Level ◽  
Self Report ◽  
Ethical Review ◽  
Mixed Effect ◽  
Registration Number

Abstract Increased physical activity can have health benefits among inactive individuals. In Sweden, the healthcare system uses physical activity on prescription (PAP) to motivate patients to increase their physical activity level. Mindfulness may further heighten the internal motivation to engage in physical activity. However, previous research has not demonstrated clear evidence of such an association. Aim Examine the feasibility of the study design as a preparation for a full-scale study, and examine the differences, between three interventions, in change over time in physical activity levels and in related variables. Method Comparison between three different interventions in an ordinary primary health care setting: PAP, mindfulness, and a combination of PAP and mindfulness. Physical activity was measured with self-report and ACTi Graph GT1X activity monitor. Statistical analysis was performed with a mixed-effect model to account for repeated observations and estimate differences both within groups and between groups at 3- and 6-months follow-up. Results Between September 2016 and December 2018, a total of 88 participants were randomised into three groups. The total dropout rate was 20.4%, the attendance rate to the mindfulness courses (52% > 6 times) and the web-based mindfulness training (8% > 800 min) was low according to the stated feasibility criteria. Eleven participants were excluded from analysis due to low activity monitor wear time. Neither the activity monitor data nor self-reported physical activity showed any significant differences between the groups. Conclusion The study design needs adjustment for the mindfulness intervention design before a fully scaled study can be conducted. A combination of PAP and mindfulness may increase physical activity and self-rated health more than PAP or mindfulness alone. Trial registration ClinicalTrials.gov, registration number NCT02869854. Regional Ethical Review Board in Lund registration number 2016/404.

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