The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Wearable Performance Devices in Sports Medicine
Open accessAbstract
Context: Wearable performance devices and sensors are becoming more readily available to the general population and athletic teams. Advances in technology have allowed individual endurance athletes, sports teams, and physicians to monitor functional movements, workloads, and biometric markers to maximize performance and minimize injury. Movement sensors include pedometers, accelerometers/gyroscopes, and global positioning satellite (GPS) devices. Physiologic sensors include heart rate monitors, sleep monitors, temperature sensors, and integrated sensors. The purpose of this review is to familiarize health care professionals and team physicians with the various available types of wearable sensors, discuss their current utilization, and present future applications in sports medicine. Evidence Acquisition: Data were obtained from peer-reviewed literature through a search of the PubMed database. Included studies searched development, outcomes, and validation of wearable performance devices such as GPS, accelerometers, and physiologic monitors in sports. Study Design: Clinical review. Level of Evidence: Level 4. Results: Wearable sensors provide a method of monitoring real-time physiologic and movement parameters during training and competitive sports. These parameters can be used to detect position-specific patterns in movement, design more efficient sports-specific training programs for performance optimization, and screen for potential causes of injury. More recent advances in movement sensors have improved accuracy in detecting high-acceleration movements during competitive sports. Conclusion: Wearable devices are valuable instruments for the improvement of sports performance. Evidence for use of these devices in professional sports is still limited. Future developments are needed to establish training protocols using data from wearable devices.
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Physical Activity in the United States Measured by Accelerometer
TROIANO, R. P., BERRIGAN, D., DODD, K. W., MÂSSE, L. C., TILERT, T., & MCDOWELL, M. (2008) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31815a51b3 · Cited by 7,638
Physical activity and reduced occurrence of non–insulin-dependent diabetes mellitus
Helmrich, S. P., Ragland, D. R., Leung, R. W., & Paffenbarger, R. S. (1991) · New England Journal of Medicine · doi:10.1056/nejm199107183250302 · Cited by 1,634
Non-invasive wearable electrochemical sensors: a review
Bandodkar, A. J., & Wang, J. (2014) · Trends in Biotechnology · doi:10.1016/j.tibtech.2014.04.005 · Cited by 1,247
Compliance with physical activity guidelines: prevalence in a population of children and youth
Pate, R. (2002) · Annals of Epidemiology · doi:10.1016/s1047-2797(01)00263-0 · Cited by 472
Validity of Consumer-Based Physical Activity Monitors
LEE, J.-M., KIM, Y., & WELK, G. J. (2014) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000287 · Cited by 401 · cited 1×
“19,32 Energy expenditure is a crucial parameter for assessing the intensity of a training regimen.”
BackgroundPhysical activity and cardiovascular disease: evidence for a dose response
KOHL, H. W. (2001) · Medicine and Science in Sports and Exercise · doi:10.1097/00005768-200106001-00017 · Cited by 391
Évaluation de la qualité des podomètres commerciaux
Tudor-Locke, C., Sisson, S. B., Lee, S. M., Craig, C. L., Plotnikoff, R. C., & Bauman, A. (2006) · Canadian Journal of Public Health · doi:10.1007/bf03405359 · Cited by 142
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Review on Wearable Technology in Sports: Concepts, Challenges and Opportunities
Seçkin, A. Ç., Ateş, B., & Seçkin, M. (2023) · Applied Sciences · doi:10.3390/app131810399 · Cited by 279
Sensors and Functionalities of Non-Invasive Wrist-Wearable Devices: A Review
Kamišalić, A., Fister, I., Turkanović, M., & Karakatič, S. (2018) · Sensors · doi:10.3390/s18061714 · Cited by 272
Wearable Biofuel Cells: A Review
Bandodkar, A. J., & Wang, J. (2016) · Electroanalysis · doi:10.1002/elan.201600019 · Cited by 193
Wei, K., Zhang, L., Guo, Y., & Jiang, X. (2020) · IEEE Access · doi:10.1109/access.2020.2971654 · Cited by 107
Varma, N., Cygankiewicz, I., Turakhia, M. P., Heidbuchel, H., Hu, Y.-F., Chen, L. Y., Couderc, J.-P., Cronin, E. M., Estep, J. D., Grieten, L., et al. (2021) · Circulation: Arrhythmia and Electrophysiology · doi:10.1161/circep.120.009204 · Cited by 74
Metadata
- Authors
- Li, R. T., Kling, S. R., Salata, M. J., Cupp, S. A., Sheehan, J., & Voos, J. E.
- Venue
- Sports Health: A Multidisciplinary Approach
- Publisher
- SAGE Publications
- Published
- 2015-11-11
- Volume
- 8
- Issue
- 1
- Pages
- 74-78
- ISSN
- 1941-0921 (ISSN-L)
- 1941-7381
- OpenAlex
- W2221465426
- Cited by
- 348
- References
- 7
- FWCI
- 11.08
- Type
- journal article
- Language
- en
- Open access
- green
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- Li, R. T., Kling, S. R., Salata, M. J., Cupp, S. A., Sheehan, J., & Voos, J. E. (2016). Wearable Performance Devices in Sports Medicine. Sports Health: A Multidisciplinary Approach. https://doi.org/10.1177/1941738115616917
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