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Activity tracker

From Wikipedia, the free encyclopedia
(Redirected from Smart band)
Not to be confused with Activity Monitor (macOS).
The Fitbit Charge 3 activity tracker

An activity tracker is an electronic device or app that measures and collects data about an individual's movements and physical responses, towards the goal of monitoring and improving their health, fitness, or psychological wellness over time.[1]

Activity trackers are a more sophisticated version of the pedometer; in addition to counting steps, they contain additional sensors such as accelerometers and altimeters to collect or estimate measures including the speed and distance travelled, heart rate, calorie expenditure, or the duration and quality of sleep.[2]

Improvements in computing technology since the 1980s, recently driven by the rapid advancement of smartphones, paved the way for the spread of wearable tracker devices with integrated sensors. Large amount of sensitive sensor and user-input data is synced with mobile apps such as fitness, mood, sleep, water intake, medicine usage, sexual activity, menstruation, and potential illnesses. This has led to privacy concerns around how consumer information is stored and analyzed by the companies involved.[3]

History

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Wearable heart rate monitors for athletes were available in 1981.[4] Improvements in technology in the late 20th and early 21st century made it possible to automate the recording of fitness activities, as well as to integrate monitors into more easily worn equipment. The RS-Computer shoe was released in 1986. Early examples include wristwatch-sized bicycle computers that monitored speed, duration, distance, etc., available at least by the early 1990s. By at least the early 2000s, wearable fitness tracking devices were available as consumer-grade electronics, including wireless heart rate monitors that could be connected to commercial-grade exercise machines in gyms. Athletes are usually tracked with the levels of internal and external loads, where external loads will consist of the performance outcomes usually witnessed by coaches, and internal loads consist of factors such as heart rate, blood pressure, and blood lactate levels.[5] When taking into account the well-being of the subject, subjective scales are involved which measure fatigue, sleep quality, emotions, and soreness.[5][non sequitur]

Activity trackers later diversified to include wristbands and armbands (so-called smart bands) and smaller devices that could be clipped wherever preferred.[6][7] In 2006 Apple and Nike released the Nike+iPod, a sensor-equipped shoe that worked with an iPod Nano.

By 2010, logging apps had been introduced, many of which integrated the direct sharing of data to Facebook ot Twitter.[8] Activity trackers became appealing to consumers because of the combination of gamification, the social dimension of sharing via social media, and increased motivation due to the resulting rivalry and competition between friends.[9]

In 2016, there were several advances made regarding fitness tracking geared toward kids with a variety of options from organizations such as UNICEF and Garmin.[10]

Tracker formats

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Most consumer activity trackers are worn on a wristband similar to a wristwatch. This type of tracker usually includes a digital display for data.[11] Wrist-based trackers may be prone to error during exercise involving rapid arm motion.[12]

Some activity trackers take the form of a ring. Ring-based trackers have no display of their own and rely on a connection with a smartphone to display tracked data.[13]

Another low-profile format for activity trackers places sensors inside of earphones. These trackers rely on a smartphone to display data, similar to ring-based trackers. Earphone-based activity trackers use sensors to take readings directly from the capillaries located within the ear. Due to their placement, these trackers can give more accurate results for blood pressure, electrocardiogram, and body temperature.[14] Activity trackers placed in the ear are also well suited to the assessment of heart rate.[12]

Activity tracking on smartwatches

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An Apple Watch showing the numbers that track a typical run.
A fitbit watch showing conditions for a workout
A Garmin watch tracking activity and health data

Many devices primarily intended as smartwatches also function as activity trackers. An early example was the Apple Watch, which has offered fitness tracker functions since 2014.[15]

Tracker apps

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The standard activity-tracking smartphone or web apps present data in statistical form meant to be viewed after the activity has ended. However, research suggests that if we want a richer understanding of the data, we need intelligent computing to be included in the systems that run the apps.[16]

Performance problems

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Certain movements of the user can distort the results obtained from activity trackers as seen in a test conducted by Stiftung Warentest where the products were unable to accurately track a bike ride.[17] Furthermore, the determined values for the human energy transformation were erroneous.[17] With the heart rate large deviations have been observed at wristlet trackers, and it is recommended for this purpose to use appropriate chest straps.[17] Wristbands can be uncomfortable to wear and inadvertently be lost. For some products, genotoxic substances were detected.[17]

Privacy concerns

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There have been some privacy issues regarding the data collection of activity-tracking apps, a user's health can be tracked into a "digital health footprint".[18] There have been many concerns about privacy issues with menstruation and reproductive health-tracking apps.[19] Many women who use these apps for menstrual and contraceptive tracking are under the impression that their data is private when there is no single body regulating the apps, making the availability and protection of the data unknown.[19]

The apps of some activity trackers not only transmit personal data but also private address lists to servers on the Internet without notifying or asking the user.[17] Even when anonymized, the mere presence of geolocation data may be a national security risk.[20] However, the results of a study among semi-professional (half-) marathon participants suggest that certain users are open to sharing tracked activity data voluntarily.[21]

In the US in 2013, BodyMedia developed a disposable activity tracker to be worn for a week, which is aimed at medical and insurance providers and employers seeking to measure employees' fitness.[22] In 2014, Jawbone developed a system called UP for Groups which could provide employers with aggregated data from employees' wearable activity trackers and apps.[23]

Psychological impacts

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Research has been carried out on the gamification of health apps, where users earn incentives and rewards based on their health goals.[24] Though this can make the app engaging, there was concern it could trivialize health apps and deter the users from their genuine health goals.[24] There is also research problematizing tracking devices about how we inhabit, experience, and imagine our bodies and lives.[25]

Wearable sensors

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Wearable sensors have been widely used in medical sciences, sports, and security. Wearable sensors can detect abnormal and unforeseen situations, and monitor physiological parameters and symptoms through these trackers. This technology has transformed healthcare by allowing continuous monitoring of patients without hospitalization. Medical monitoring of a patient's body temperature, heart rate, heart rate variability,[26] brain activity, muscle motion, and other critical data can be delivered through these trackers.

Moreover, in sports training, there is an increasing demand for wearable sensors. For example, measurement of sweat rate was possible only in laboratory-based systems a few years ago but is now possible using wearable sensors.[27] Heart rate variability (HRV) has the potential to determine the quality of an exercise regimen. Additionally, HRV is recommended among the athletic community as a warning sign for over-training. In these ways, HRV can be used to optimize performance.[26] Wearable sensors play a pivotal role in monitoring physiological parameters and enhancing fitness regimens through AI-driven feedback and the development of intelligent equipment. This is evident in collaborative efforts between leading sports brands and technology companies.[28]

Medical uses

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Activity trackers are not medical devices. However, newer models approach the US definition of a Class II medical monitor, and some manufacturers hope to eventually make them capable of alerting to a medical problem, although FDA approval would be required.[15]

Detection of atrial fibrillation

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Activity tracking has been utilized to keep track of atrial fibrillation (AF), an irregular and chaotic heartbeat, which is accountable for a majority of strokes in the United States.[29] Professionals rely on the ambulatory electrocardiogram (EKG) to record AF but soon found wearable wristbands[clarification needed] to be useful for regular usage.[clarification needed][29] These wearables must be accurate to prevent misdiagnosis, morbidity, and mortality.[29] The Apple Watch was found in a study to be able to detect and notify the wearer of an irregular pulse.[29] Though there is a risk of false positives, the study found that it may be a useful tool in the initial diagnosis process as a gateway to additional procedures rather than being the only tool used.[29]

Weight loss and obesity

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Activity trackers have also been used for tracking and finding solutions to combat obesity by promoting physical activity.[30] A device called the Fitbit Alta was used as the wristband for adolescents who are considered obese where their steps, distance, calories burned, activity time, and sleep rates were kept track of and downloaded by the researchers to analyze.[30] The overall study found that societal and cultural factors were what affected adolescent obesity given that low-income minorities were at a higher risk given that they had limited access to weight management programs and resources.[30] The tracking of steps and amount of physical activity allowed for one to be aware of their habits and lifestyle, but the access to weight loss programs varied for many, which is why the researchers utilized this information and used the technology to correlate behavioral aspects with the data to search for more solutions.[30]

One review of six studies found that there was little evidence that activity trackers improve health outcomes.[31] Of five studies that looked at weight loss, one found benefit, one found harm, and three found no effect.[31] Another systematic review covering 35 studies and 7454 participants, published in the British Journal of Sports Medicine, found that activity trackers increased people's physical activity by an average of 1850 steps/day.[32]

According to another study comparing 8-week interventions and four-month follow-ups of physical activity monitors, a guided weight loss program, and together, activity monitoring and the weight loss program are associated with similar improvements and both combined are associated with more improvements than either alone.[31] It is unclear whether activity changes occur in children and adolescents.[32][33]

Monitoring stress and mental illness

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There are many apps available in the Apple AppStore and the Samsung Google Play Store that deal with mental health management and self-help.[34] Smartwatches have also been involved in monitoring stress and other mental health issues.[35] A study was done analyzing the different types of devices, ranging from bulky wearables to smaller, portable devices with sensors that can detect depression, anxiety, and any form of stress.[35] Monitoring these main three factors is essential to understanding any risk and likelihood of additional health complications and the correlation to specific conditions.[35] Chest patches are used for measuring heart rate while the wristbands ("Chillbands") were used to track activity, where a correlation was seen in the HR levels and the involvement of circadian rhythm, stress, gender, and age.[35] It was seen that detecting depression alone was challenging, causing a risk of misdiagnosis, but further research along with tracking of sleep, physical activity, mood changes, cognitive function, and social habits will help towards accurate measurements.[35]

Monitoring infant growth development

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Wearable sensors[which?] have also been in use when keeping track of infant development, motor skills, and physical growth are the main aspects that were focused on.[36]

Parkinson's disease prediction

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Physical movement tracking can be used as a predictive analysis tool to determine the risk of Parkinson's Disease in individuals.[37]

Alerting for caregivers

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Other activity trackers are intended to monitor vital signs in the elderly, epileptics, and people with sleep disorders and alert a caregiver to a problem.[15]

Menstrual tracking and reproductive health

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Individuals with a uterus can use menstrual tracking apps to keep track of their cycles and refer back to the timeline to spot any changes that they would like to bring up to their doctors or specialists.[19] There are several apps for this purpose but the privacy and security of the data are unknown given that there is no one "head" that oversees the system, leaving a lot of the data open to the market, leaving many questions as to how secure the data is when entered.[19] When users sign up for these apps, they are usually led with an "at your own risk" warning in case any data gets leaked, which can contribute to more targeted ads and inaccurate predictions in their cycles.[19]

Animal health

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Activity trackers have been designed for animals, for example collar-mounted activity trackers for dogs.[38][39][40]

See also

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Look up smart band in Wiktionary, the free dictionary.

References

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  1. ^ González Ramírez, Maria Luisa; García Vázquez, Juan Pablo; Rodríguez, Marcela D.; Padilla-López, Luis Alfredo; Galindo-Aldana, Gilberto Manuel; Cuevas-González, Daniel (2023-08-22) [2023-08-22]. "Wearables for Stress Management: A Scoping Review". Healthcare. 11 (17): 2369. doi:10.3390/healthcare11172369. ISSN 2227-9032. PMC 10486660. PMID 37685403.
  2. ^ Jill Duffy, "The Best Activity Trackers for Fitness", PC Magazine, May 22, 2013.
  3. ^ Grundy, Quinn (2022-04-05). "A Review of the Quality and Impact of Mobile Health Apps". Annual Review of Public Health. 43 (1): 117–134. doi:10.1146/annurev-publhealth-052020-103738. ISSN 0163-7525. PMID 34910582. S2CID 245243717.
  4. ^ "Olympic Medical Institute Validates Polar RS800 Running Computer And Training System", Polar, November 7, 2006, retrieved February 25, 2014, archived February 25, 2014.
  5. ^ a b Passos, João; Lopes, Sérgio Ivan; Clemente, Filipe Manuel; Moreira, Pedro Miguel; Rico-González, Markel; Bezerra, Pedro; Rodrigues, Luís Paulo (January 2021). "Wearables and Internet of Things (IoT) Technologies for Fitness Assessment: A Systematic Review". Sensors. 21 (16): 5418. Bibcode:2021Senso..21.5418P. doi:10.3390/s21165418. ISSN 1424-8220. PMC 8400146. PMID 34450860.
  6. ^ Rheana Murray, "Smartphones become fitness coaches with new wearable activity trackers", New York Daily News, August 16, 2013.
  7. ^ Danny Sullivan, "The test begins: My life with four activity trackers, fitness bands", CNET, March 28, 2013.
  8. ^ Caroline McCarthy, "Work out, get on scale...tell your friends?" Archived 2013-12-10 at the Wayback Machine, CNET, July 21, 2010.
  9. ^ G. F., "Quantified self: Fit, fit, hooray!", Babbage, The Economist, May 24, 2013.
  10. ^ "Best Kids' Fitness Trackers of 2017". UNICEF Kid Power. Archived from the original on 22 February 2017. Retrieved 22 February 2017.
  11. ^ Song, Victoria (22 March 2022). "The best fitness trackers to buy right now". The Verge. Retrieved 15 June 2024.
  12. ^ a b Bunn J.; Wells E.; Manor J.; Webster M. (2019). "Evaluation of Earbud and Wristwatch Heart Rate Monitors during Aerobic and Resistance Training". Int J Exerc Sci. 12 (4): 374–384. PMC 6413847. PMID 30899350.
  13. ^ Nathan Ingraham, "Motiv Crammed a Full Fitness Tracker into a Ring", "Engadget", Jan 3, 2017
  14. ^ David Z. Morris, "Forget the iWatch. Headphones are the original wearable tech", Fortune, June 24, 2014.
  15. ^ a b c Dan Holden, "Worn Out: The Dark Side of Wearable Technology", Metro Silicon Valley, September 24, 2014, pp. 16–18.
  16. ^ Fredrik Ohlin and Carl Magnus Olsson, "Intelligent Computing in Personal Informatics: Key Design Considerations", In Proceedings of the 20th International Conference on Intelligent User Interfaces (IUI '15). ACM, New York, 263–274, accessed June 23, 2015.
  17. ^ a b c d e Fitnessarmbaender - Nur zwei von zwoelf sind gut, test.de, November 23, 2023.
  18. ^ Grande, David; Luna Marti, Xochitl; Feuerstein-Simon, Rachel; Merchant, Raina M.; Asch, David A.; Lewson, Ashley; Cannuscio, Carolyn C. (2020-07-09). "Health Policy and Privacy Challenges Associated With Digital Technology". JAMA Network Open. 3 (7): e208285. doi:10.1001/jamanetworkopen.2020.8285. ISSN 2574-3805. PMC 7348687. PMID 32644138.
  19. ^ a b c d e Fowler, Leah R.; Gillard, Charlotte; Morain, Stephanie R. (September 2020). "Readability and Accessibility of Terms of Service and Privacy Policies for Menstruation-Tracking Smartphone Applications". Health Promotion Practice. 21 (5): 679–683. doi:10.1177/1524839919899924. ISSN 1524-8399. PMID 32037887. S2CID 211072307.
  20. ^ Sly, Liz (29 January 2018). "U.S. soldiers are revealing sensitive and dangerous information by jogging". The Washington Post. Retrieved 29 January 2018.
  21. ^ Wiesner, Martin; Zowalla, Richard; Suleder, Julian; Westers, Maximilian; Pobiruchin, Monika (2018). "Technology Adoption, Motivational Aspects, and Privacy Concerns of Wearables in the German Running Community: Field Study". JMIR mHealth and uHealth. 6 (12): e201. doi:10.2196/mhealth.9623. PMC 6315235. PMID 30552085.
  22. ^ "CES: Track your activity level, get cheaper health insurance?", Stream, Consumer Electronics Show, MarketWatch, The Wall Street Journal, January 10, 2013.
  23. ^ "Tracker shares your habits with work", Technology, BBC News, January 7, 2015 (video).
  24. ^ a b Arora, Chirag; Razavian, Maryam (2021-10-21). "Ethics of Gamification in Health and Fitness-Tracking". International Journal of Environmental Research and Public Health. 18 (21): 11052. doi:10.3390/ijerph182111052. ISSN 1660-4601. PMC 8583052. PMID 34769570.
  25. ^ Fors, Vaike; Pink, Sarah; Berg, Martin; O'Dell, Tom (2020). Imagining Personal Data. Bloomsbury Academic. doi:10.5040/9781350051416. ISBN 978-1-350-05138-6. S2CID 218918443.
  26. ^ a b Singh, Nikhil; Moneghetti, Kegan James; Christle, Jeffrey Wilcox; Hadley, David; Plews, Daniel; Froelicher, Victor (August 2018). "Heart Rate Variability: An Old Metric with New Meaning in the Era of using mHealth Technologies for Health and Exercise Training Guidance. Part One: Physiology and Methods". Arrhythmia & Electrophysiology Review. 7 (3): 193–198. doi:10.15420/aer.2018.27.2. ISSN 2050-3369. PMC 6141929. PMID 30416733.
  27. ^ Ermes, Miikka (January 2008). "Detection of Daily Activities and Sports With Wearable Sensors in Controlled and Uncontrolled Conditions". IEEE Transactions on Information Technology in Biomedicine. 12 (1): 20–26. doi:10.1109/TITB.2007.899496. PMID 18270033. S2CID 18080013.
  28. ^ Tang, Yuxin; Zan, Shengfeng; Zhang, Xiaowen (2022-05-10). "Research on System Construction and Strategy of Intelligent Sports in the Implementation of National Fitness". Computational Intelligence and Neuroscience. 2022: e3190801. doi:10.1155/2022/3190801. ISSN 1687-5265. PMC 9113877. PMID 35592719.
  29. ^ a b c d e Raja, Joel M.; Elsakr, Carol; Roman, Sherif; Cave, Brandon; Pour-Ghaz, Issa; Nanda, Amit; Maturana, Miguel; Khouzam, Rami N. (September 2019). "Apple Watch, Wearables, and Heart Rhythm: where do we stand?". Annals of Translational Medicine. 7 (17): 417. doi:10.21037/atm.2019.06.79. PMC 6787392. PMID 31660316.
  30. ^ a b c d Bowen-Jallow, Kanika; Nunez-Lopez, Omar; Wright, Alex; Fuchs, Erika; Ahn, Mollie; Lyons, Elizabeth; Jupiter, Daniel; Berry, Lindsey; Suman, Oscar; Radhakrishnan, Ravi S.; Glaser, Andrea M.; Thompson, Deborah I. (2021-01-08). "Wearable Activity Tracking Device Use in an Adolescent Weight Management Clinic: A Randomized Controlled Pilot Trial". Journal of Obesity. 2021: e7625034. doi:10.1155/2021/7625034. ISSN 2090-0708. PMC 7811568. PMID 33505717.
  31. ^ a b c Peyer, Karissa L.; Ellingson, Laura D.; Bus, Kathryn; Walsh, Sarah A.; Franke, Warren D.; Welk, Gregory J. (June 2017). "Comparative effectiveness of guided weight loss and physical activity monitoring for weight loss and metabolic risks: A pilot study". Preventive Medicine Reports. 6: 271–277. doi:10.1016/j.pmedr.2017.03.002. PMC 5385579. PMID 28409089.
  32. ^ a b Ridgers, ND; McNarry, MA; Mackintosh, KA (November 23, 2016). "Feasibility and Effectiveness of Using Wearable Activity Trackers in Youth: A Systematic Review". JMIR mHealth and uHealth. 4 (4): e129. doi:10.2196/mhealth.6540. PMC 5143467. PMID 27881359.
  33. ^ Böhm, B; Karwiese, SD; Böhm, H; Oberhoffer, R (30 April 2019). "Effects of Mobile Health Including Wearable Activity Trackers to Increase Physical Activity Outcomes Among Healthy Children and Adolescents: Systematic Review". JMIR mHealth and uHealth. 7 (4): e8298. doi:10.2196/mhealth.8298. PMC 6658241. PMID 31038460.
  34. ^ Lau, Nancy; O'Daffer, Alison; Colt, Susannah; Yi-Frazier, Joyce P; Palermo, Tonya M; McCauley, Elizabeth; Rosenberg, Abby R (2020-05-22). "Android and iPhone Mobile Apps for Psychosocial Wellness and Stress Management: Systematic Search in App Stores and Literature Review". JMIR mHealth and uHealth. 8 (5): e17798. doi:10.2196/17798. ISSN 2291-5222. PMC 7275252. PMID 32357125.
  35. ^ a b c d e Hickey, Blake Anthony; Chalmers, Taryn; Newton, Phillip; Lin, Chin-Teng; Sibbritt, David; McLachlan, Craig S.; Clifton-Bligh, Roderick; Morley, John; Lal, Sara (January 2021). "Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review". Sensors. 21 (10): 3461. Bibcode:2021Senso..21.3461H. doi:10.3390/s21103461. ISSN 1424-8220. PMC 8156923. PMID 34065620.
  36. ^ Airaksinen, Manu; Taylor, Elisa; Gallen, Anastasia; Ilén, Elina; Saari, Antti; Sankilampi, Ulla; Räsänen, Okko; Haataja, Leena M.; Vanhatalo, Sampsa (June 2023). "Charting infants' motor development at home using a wearable system: validation and comparison to physical growth charts". eBioMedicine. 92: 104591. doi:10.1016/j.ebiom.2023.104591. ISSN 2352-3964. PMC 10176156. PMID 37137181.
  37. ^ Schalkamp, Ann-Kathrin; Peall, Kathryn J.; Harrison, Neil A.; Sandor, Cynthia (August 2023). "Wearable movement-tracking data identify Parkinson's disease years before clinical diagnosis". Nature Medicine. 29 (8): 2048–2056. doi:10.1038/s41591-023-02440-2. ISSN 1546-170X. PMID 37400639. S2CID 259323971.
  38. ^ "Whistle wearable technology for dogs lets owners monitor pet activity", De Zeen, May 14, 2014.
  39. ^ Jill Duffy, "Whistle Dog Activity Tracker Adds GPS Location Finder", PC Magazine, May 21, 2014.
  40. ^ Heather Zimmerman, "Digital Dog", Metro Silicon Valley, September 24, 2014, p. 17.

Further reading

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  • Robert Scoble, Shel Israel. Age of Context: Mobile, Sensors, Data and the Future of Privacy. Patrick Brewster, 2014. ISBN 9781492348436.
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