scholarly journals Utility of wearable physical activity monitors in cardiovascular disease: a systematic review of 11,464 patients and recommendations for optimal use

2021 ◽  
Author(s):  
Matthew Hammond-Haley ◽  
Christopher Allen ◽  
Jennie Han ◽  
Tiffany Patterson ◽  
Michael Marber ◽  
...  
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Cardiovascular Disease ◽  
Real World ◽  
Response To Therapy ◽  
Activity Levels ◽  
Cardiovascular Research ◽  
Activity Data ◽  
Activity Monitors ◽  
Future Work

Abstract Background Physical activity (PA) plays an important role in primary and secondary prevention of cardiovascular disease, functioning as a marker of disease progression and response to therapy. Real-world measurement of habitual PA is now possible through wearable activity monitors, however their use in cardiovascular patients is not well described. Methods We performed a systematic review to summarise how wearable activity monitors have been used to measure PA in patients with cardiovascular disease, with 11,464 patients included across 108 studies. Results Activity monitors were primarily used in the setting of cardiac rehabilitation (46, 43%). Most often, triaxial accelerometers (70, 65%) were instructed to be worn at the hip (58, 54%) for seven days (n = 54, 50%). Thirty-nine different activity monitors were used, with a range of accelerometer specific settings for collection and reporting of activity data. Activity was reported most commonly as time spent in MET-defined activity levels (49, 45%), while non-wear time was defined in just 16 (15%) studies. Conclusion The collecting, processing and reporting of accelerometer-related outcomes was highly heterogeneous. Most validation studies are limited to healthy young adults, while the paucity of methodological information disclosed renders interpretation of results and cross-study comparison challenging. While accelerometers are promising tools to measure real-world PA, we highlight current challenges facing their use in elderly multimorbid cardiology patients. We suggest recommendations to guide investigators using these devices in cardiovascular research. Future work is required to determine optimal methodology and consensus-based development of meaningful outcomes using raw acceleration data.

scholarly journals Deep Learning Classification of Canine Behavior Using a Single Collar-Mounted Accelerometer: Real-World Validation

Animals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1549
Author(s):  
Robert D. Chambers ◽  
Nathanael C. Yoder ◽  
Aletha B. Carson ◽  
Christian Junge ◽  
David E. Allen ◽  
...  
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Real World ◽  
Learning Algorithm ◽  
Drinking Behavior ◽  
True Positive Rate ◽  
Training Dataset ◽  
Activity Levels ◽  
Accelerometer Data ◽  
Activity Monitors

Collar-mounted canine activity monitors can use accelerometer data to estimate dog activity levels, step counts, and distance traveled. With recent advances in machine learning and embedded computing, much more nuanced and accurate behavior classification has become possible, giving these affordable consumer devices the potential to improve the efficiency and effectiveness of pet healthcare. Here, we describe a novel deep learning algorithm that classifies dog behavior at sub-second resolution using commercial pet activity monitors. We built machine learning training databases from more than 5000 videos of more than 2500 dogs and ran the algorithms in production on more than 11 million days of device data. We then surveyed project participants representing 10,550 dogs, which provided 163,110 event responses to validate real-world detection of eating and drinking behavior. The resultant algorithm displayed a sensitivity and specificity for detecting drinking behavior (0.949 and 0.999, respectively) and eating behavior (0.988, 0.983). We also demonstrated detection of licking (0.772, 0.990), petting (0.305, 0.991), rubbing (0.729, 0.996), scratching (0.870, 0.997), and sniffing (0.610, 0.968). We show that the devices’ position on the collar had no measurable impact on performance. In production, users reported a true positive rate of 95.3% for eating (among 1514 users), and of 94.9% for drinking (among 1491 users). The study demonstrates the accurate detection of important health-related canine behaviors using a collar-mounted accelerometer. We trained and validated our algorithms on a large and realistic training dataset, and we assessed and confirmed accuracy in production via user validation.

scholarly journals Reliability of activity monitors for physical activity assessment in patients with musculoskeletal disorders: A systematic review

2021 ◽  
pp. 1-9
Author(s):  
Francesco Negrini ◽  
Alessandro de Sire ◽  
Stefano Giuseppe Lazzarini ◽  
Federico Pennestrì ◽  
Salvatore Sorce ◽  
...  
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Musculoskeletal Disorders ◽  
Wearable Sensors ◽  
Activity Monitors ◽  
Activity Assessment ◽  
Measurement Tools ◽  
Different Types ◽  
Measurement Units ◽  
Full Text Screening

BACKGROUND: Activity monitors have been introduced in the last years to objectively measure physical activity to help physicians in the management of musculoskeletal patients. OBJECTIVE: This systematic review aimed at describing the assessment of physical activity by commercially available portable activity monitors in patients with musculoskeletal disorders. METHODS: PubMed, Embase, PEDro, Web of Science, Scopus and CENTRAL databases were systematically searched from inception to June 11th, 2020. We considered as eligible observational studies with: musculoskeletal patients; physical activity measured by wearable sensors based on inertial measurement units; comparisons performed with other tools; outcomes consisting of number of steps/day, activity/inactivity time, or activity counts/day. RESULTS: Out of 595 records, after removing duplicates, title/abstract and full text screening, 10 articles were included. We noticed a wide heterogeneity in the wearable devices, that resulted to be 10 different types. Patients included suffered from rheumatoid arthritis, osteoarthritis, juvenile idiopathic arthritis, polymyalgia rheumatica, and fibromyalgia. Only 3 studies compared portable activity trackers with objective measurement tools. CONCLUSIONS: Taken together, this systematic review showed that activity monitors might be considered as useful to assess physical activity in patients with musculoskeletal disorders, albeit, to date, the high device heterogeneity and the different algorithms still prevent their standardization.

scholarly journals Walking Cadence to Exercise at Moderate Intensity for Adults: A Systematic Review

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
J. Slaght ◽  
M. Sénéchal ◽  
T. J. Hrubeniuk ◽  
A. Mayo ◽  
D. R. Bouchard
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Older Adults ◽  
Leisure Activity ◽  
Moderate Intensity ◽  
Activity Levels ◽  
Physical Activity Guidelines ◽  
Aerobic Activity ◽  
Physical Activity Levels

Background. Most adults choose walking as a leisure activity. However, many do not reach the international physical activity guidelines for adults, which recommend moderate intensity aerobic activity for at least 150 minutes/week in bouts of 10 minutes. Purpose. This systematic review provides an update on the walking cadence required to reach moderate intensity in adults and older adults, identifies variables associated with reaching moderate intensity, and evaluates how walking cadence intensity should be measured, but the main purpose is to report the interventions that have been attempted to prescribe walking cadence to increase time spent at moderate intensity or other outcomes for adults and older adults. Methods. SportDISCUS, Scopus, and PubMed databases were searched. We identified 3,917 articles and 31 were retained for this systematic review. Only articles written in English were included. Results. In general, 100 steps/minute is prescribed for adults to achieve moderate intensity, but older adults may require a higher cadence. Currently, few studies have explored using walking cadence prescription as an intervention to increase physical activity levels. Conclusion. Prescribing walking cadence as a way to increase physical activity levels has potential as a practical and useful strategy, but more evidence is required to assess its ability to increase physical activity levels at moderate intensity.

scholarly journals A framework to foster analysis skill for self-directed activities in data-rich environment

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Yuanyuan Yang ◽  
Rwitajit Majumdar ◽  
Huiyong Li ◽  
Gökhan Akçapinar ◽  
Brendan Flanagan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Undergraduate Students ◽  
Skill Acquisition ◽  
Learning System ◽  
Activity Levels ◽  
Learning Context ◽  
Context Analysis ◽  
Activity Data ◽  
Actual Usage ◽  
Goal System

AbstractSelf-direction skill is considered a vital skill for twenty-first-century learners in both the learning context and physical activity context. Analysis skill for self-directed activities requires the students to analyze their own activity data for understanding their status in that activity. It is an important phase that determines whether an appropriate plan can be set or not. This research presents a framework designed to foster students’ analysis skill in self-directed activities, which aims (1) to build a technology-enabled learning system allowing students to practice analyzing data from their own daily contexts, (2) to propose an approach to model student’s analysis skill acquisition level and process, and (3) to provide automated support and feedback for analysis skill development tasks. The analysis module based on the proposed framework was implemented in the GOAL system which synchronized data from learners’ physical and reading activities. A study was conducted with 51 undergraduate students to find reliable indicators for the model to then measure students’ analysis skills. By further analyzing students’ actual usage of the GOAL system, we found the actual activity levels and their preferences regarding analysis varied for the chosen contexts (learning and physical activity). The different context preference groups were almost equal, highlighting the utility of a system that integrates data from multiple contexts. Such a system can potentially respond to students’ individual preferences to execute and acquire self-direction skill.

Exploring the Relationship Between Fundamental Motor Skill Interventions and Physical Activity Levels in Children: A Systematic Review and Meta-analysis

2018 ◽  
Vol 48 (8) ◽  
pp. 1845-1857 ◽  
Author(s):  
Alexander C. Engel ◽  
Carolyn R. Broderick ◽  
Nancy van Doorn ◽  
Louise L. Hardy ◽  
Belinda J. Parmenter
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Motor Skill ◽  
Meta Analysis ◽  
Activity Levels ◽  
Physical Activity Levels ◽  
The Relationship

Can Exergaming Promote Physical Fitness and Physical Activity?

Gamification ◽  
2015 ◽  
pp. 2022-2039 ◽  
Author(s):  
Tuomas Kari
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Physical Fitness ◽  
Systematic Reviews ◽  
Quality Criteria ◽  
Current Evidence ◽  
Activity Levels ◽  
High Quality Research ◽  
Significant Health

This systematic review of systematic reviews evaluates the effectiveness of exergaming on physical fitness and physical activity. A systematic literature search was conducted on 10 databases, and 1040 articles were identified. Sixty-eight articles were found potentially relevant and were selected for closer screening. Cross-referencing was conducted to find other potentially relevant articles. The quality of all relevant articles was evaluated using the AMSTAR tool. After all the duplicates were removed and inclusion, exclusion, and quality criteria were implemented, six articles remained for review. The results indicate that exergaming is generally enjoyed and can evoke some benefits for physical fitness and physical activity, but the current evidence does not support the ability of exergaming to increase physical fitness or physical activity levels sufficiently for significant health benefits. This systematic review also revealed several gaps in previous research. Additional high-quality research and systematic reviews concerning exergaming are needed.

Promoting Physical Activity and Fitness with Exergames

2016 ◽  
pp. 225-245 ◽  
Author(s):  
Tuomas Kari
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Physical Fitness ◽  
Systematic Reviews ◽  
Quality Criteria ◽  
Current Evidence ◽  
Activity Levels ◽  
High Quality Research ◽  
Significant Health

This updated systematic review of systematic reviews evaluates the effectiveness of exergaming on physical fitness and physical activity. A systematic literature search was conducted on 10 databases, first in 2014 and then repeated in 2016. In total, 1040 and 287 articles were identified. 68 and 31 articles were found potentially relevant and selected for closer screening. The quality of all relevant articles was evaluated using the AMSTAR tool. After the duplicates were removed and inclusion, exclusion, and quality criteria were implemented, six and three articles remained for review. The results indicate that exergaming is generally enjoyed and can evoke some benefits for physical fitness and physical activity, but the current evidence does not support the ability of exergaming to increase physical fitness or physical activity levels sufficiently for significant health benefits. This systematic review also revealed gaps in previous research. Additional high-quality research and systematic reviews concerning exergaming are needed.

scholarly journals Accuracy of Accelerometers for Measuring Physical Activity and Levels of Sedentary Behavior in Children: A Systematic Review

2019 ◽  
Vol 10 ◽  
pp. 215013271987425 ◽  
Author(s):  
Brian A. Lynch ◽  
Tara K. Kaufman ◽  
Tamim I. Rajjo ◽  
K. Mohammed ◽  
Seema Kumar ◽  
...  
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Sedentary Behavior ◽  
Indirect Calorimetry ◽  
Area Under The Curve ◽  
Current Evidence ◽  
Activity Levels ◽  
Light Physical Activity ◽  
Accuracy Measures ◽  
Median Area

Objectives: This systematic review evaluated the accuracy of triaxial and omnidirectional accelerometers for measuring physical activity and sedentary behavior in children. Design: Systematic review of the literature. Methods: We comprehensively searched several databases for studies published from January 1996 through June 2018 that reported diagnostic accuracy measures in children and adolescents (age 3-18 years) and compared accelerometers with energy expenditure using indirect calorimetry. Results: We included 11 studies that enrolled 570 participants. All studies used indirect calorimetry as the reference standard. Across the studies, median sensitivity ranged from 46% to 96% and median specificity ranged from 71% to 96%. Median area under the curve ranged from 69% to 98%. Conclusions: Accuracy measures were greatest when detecting sedentary behavior and lowest when detecting light physical activity. Accuracy was higher when the accelerometer was placed on the hip compared with the wrist. The current evidence suggests that triaxial and omnidirectional accelerometers are accurate in measuring sedentary behavior and physical activity levels in children.

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