Activity tracker

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An Apple Watch showing the numbers that track a typical run. Apple Watch-yellow.jpg
An Apple Watch showing the numbers that track a typical run.
Samsung Galaxy Fit activity trackers Samsung Galaxy Fit.jpg
Samsung Galaxy Fit activity trackers

An activity tracker involves the practice of measuring and collecting data on an individual's physical and psychological activity to keep track and maintain documentation regarding their health and wellness. [1] Used for many groups even animals as seen in collar-mounted activity trackers for dogs. [2] [3] [4] A lot of the data is collected through wearable technology such as wristbands which sync with mobile apps through Apple and Samsung. As daily technologies such as phones and computers have been innovated, it paved the way for such wearable tracking technologies to be advanced. There are a variety of stakeholders involved in the usage of activity tracking through wearable technology and mobile health apps, knowing how much they track ranging from fitness, mood, sleep, water intake, medicine usage, sexual activity, menstruation, and potential diseases raises the concern on privacy given a lot of data is collected and analyzed. [5] Through many studies that have been reviewed, data on the various demographics and goals these technologies are used provide more insight into their purposes.

Contents

History

The term "activity trackers" now primarily refers to wearable devices that monitor and record a person's fitness activity. Improvements in technology in the late 20th and early 21st century allow automating the monitoring and recording of fitness activities and integrating them into more easily worn equipment. Early examples include wristwatch-sized bicycle computers that monitored speed, duration, distance, etc., available at least by the early 1990s. Wearable heart rate monitors for athletes were available in 1981. [6] The RS-Computer shoe was released in 1986. Wearable fitness tracking devices, including wireless heart rate monitoring that integrated with commercial-grade fitness equipment found in gyms, were available in consumer-grade electronics by at least the early 2000s. 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. [7] When taking into account the well-being of the subject, subjective scales are involved which measure fatigue, sleep quality, emotions, and soreness. [7] Physical movement tracking can be used as a predictive analysis tool to determine the risk of Parkinson's Disease in individuals. [8]

Electronic activity trackers are fundamentally upgraded versions of pedometers; in addition to counting steps, they use accelerometers and altimeters to calculate mileage, graph overall physical activity, calculate calorie expenditure, and in some cases also monitor and graph heart rate and quality of sleep. [9] Some also include a silent alarm. [9] [10] Some 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. [11]

Smart watches and wristbands

A fitbit watch showing conditions for a workout Fitbit Versa Lite No - 10:apuri.jpg
A fitbit watch showing conditions for a workout

Activity trackers have since diversified to include wristbands and armbands (so-called smart bands) and smaller devices that can be clipped wherever preferred. [10] [12] Apple and Nike together developed the Nike+iPod, a sensor-equipped shoe that worked with an iPod Nano.

A Garmin watch tracking activity and health data Garmin Instinct 2 Solar Smartwatch Fitness tracker activity.png
A Garmin watch tracking activity and health data

The Apple Watch and some other smartwatches offer fitness tracker functions. [11] In the US, BodyMedia has 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, [13] and Jawbone's UP for Groups aggregates and anonymizes data from the company's wearable activity trackers and apps for employers. [14] 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. [11]

Earbuds and headphones are a better location for measuring some data, including core body temperature; Valencell has developed sensor technology for new activity trackers that take their readings at the ear rather than the wrist, arm, or waist. [15] Numerous companies have also released devices in the form of a ring that leverages the capillaries in the finger. [16]

Activity tracking apps

In addition, logging apps exist for smartphones and Facebook; [17] the Nike+ system now works without the shoe sensor, through the GPS unit in the phone. Much of the appeal of activity trackers that makes them effective tools in increasing personal fitness comes from their making it into a game and from the social dimension of sharing via social media and resulting rivalry. [18]

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. [19]

There is also research problematizing tracking devices about how we inhabit, experience, and imagine our bodies and lives. [20] 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. [21]

Wearable sensors

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, [22] 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. [23] 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. [22] 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. [24]

Performance

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. [25] Furthermore, the determined values for the human energy transformation were erroneous. [25] With the heart rate large deviations have been observed at wristlet trackers, and it is recommended for this purpose to use appropriate chest straps. [25]

Wristbands can be uncomfortable to wear and inadvertently be lost. For some products, genotoxic substances were detected. [25]

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". [26] There have been many concerns about privacy issues with menstruation and reproductive health-tracking apps. [27] 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. [27] 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. [25] Even when anonymized, the mere presence of geolocation data may be a national security risk. [28] However, the results of a study among semi-professional (half-) marathon participants suggest that certain users are open to sharing tracked activity data voluntarily. [29]

There has also been some research done on the "gamification" of health apps where users would be able to earn incentives and rewards based on their health goals. [30] Though this would make the app engaging, there was concern to whether or not this would trivialize the health apps and deter the users away from their genuine health goals. [30]

Medical uses

Heart Problems

Activity tracking has been utilized to keep track of heart problems, one of them being atrial fibrillation (AF) which causes an irregular and chaotic heartbeat and is accountable for a majority of strokes in the United States. [31] Professionals would rely on the ambulatory electrocardiogram (EKG) to record AF but soon found wearable wristbands to be useful for regular usage. [31] These wearables must be accurate to prevent misdiagnosis, morbidity, and mortality. [31] The Apple Watch was used for this study where it was able to have irregular pulse detection and send a notification once found. [31] Though there is a risk of false positives, it was 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. [31]

Weight Loss/Obesity

Activity trackers have also been used for tracking and finding solutions to combat obesity by promoting physical activity. [32] 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. [32] 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. [32] 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. [32]

One review of six studies found that there was little evidence that activity trackers improve health outcomes. [33] Of five studies that looked at weight loss, one found benefit, one found harm, and three found no effect. [33] 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. [34]

Monitoring Stress and Mental Illness

There are many apps available in the Apple AppStore and the Samsung Google Play Store that deal with mental health management and self-help. [35] Smartwatches have also been involved in monitoring stress and other mental health issues. [36] 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. [36] Monitoring these main three factors is essential to understanding any risk and likelihood of additional health complications and the correlation to specific conditions. [36] 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. [36] 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. [36]

Monitoring Infant Growth Development

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. [33]

It is unclear whether activity changes occur in children and adolescents. [34] [37] Wearable sensors have also been in use when keeping track of infant development, motor skills, and physical growth are the main aspects that were focused on. [38]

Menstrual Tracking/ Reproductive Health

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. [27] 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. [27] 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. [27]

See also

Related Research Articles

<span class="mw-page-title-main">Wearable computer</span> Small computing device worn on the body

A wearable computer, also known as a body-borne computer, is a computing device worn on the body. The definition of 'wearable computer' may be narrow or broad, extending to smartphones or even ordinary wristwatches.

<span class="mw-page-title-main">Pedometer</span> Portable device that counts steps a person takes

A pedometer, or step-counter, is a device, usually portable and electronic or electromechanical, that counts each step a person takes by detecting the motion of the person's hands or hips. Because the distance of each person's step varies, an informal calibration, performed by the user, is required if presentation of the distance covered in a unit of length is desired, though there are now pedometers that use electronics and software to determine how a person's step varies automatically. Distance traveled can be measured directly by a GPS receiver.

<span class="mw-page-title-main">Heart rate monitor</span> Personal monitoring device

A heart rate monitor (HRM) is a personal monitoring device that allows one to measure/display heart rate in real time or record the heart rate for later study. It is largely used to gather heart rate data while performing various types of physical exercise. Measuring electrical heart information is referred to as electrocardiography.

eHealth describes healthcare services which are supported by digital processes, communication or technology such as electronic prescribing, Telehealth, or Electronic Health Records (EHRs). The use of electronic processes in healthcare dated back to at least the 1990s. Usage of the term varies as it covers not just "Internet medicine" as it was conceived during that time, but also "virtually everything related to computers and medicine". A study in 2005 found 51 unique definitions. Some argue that it is interchangeable with health informatics with a broad definition covering electronic/digital processes in health while others use it in the narrower sense of healthcare practice using the Internet. It can also include health applications and links on mobile phones, referred to as mHealth or m-Health. Key components of eHealth include electronic health records (EHRs), telemedicine, health information exchange, mobile health applications, wearable devices, and online health information. These technologies enable healthcare providers, patients, and other stakeholders to access, manage, and exchange health information more effectively, leading to improved communication, decision-making, and overall healthcare outcomes.

<span class="mw-page-title-main">Fitness game</span> Video games that are also a form of exercise

Fitness game, exergame, and gamercise are terms used for video games that are also a form of exercise. Fitness games rely on technology that tracks body movement or reaction. The genre has been used to challenge the stereotype of gaming as a sedentary activity, and promoting an active lifestyle among gamers. Fitness games are seen as evolving from technology aimed at making exercise more fun.

Protected health information (PHI) under U.S. law is any information about health status, provision of health care, or payment for health care that is created or collected by a Covered Entity, and can be linked to a specific individual. This is interpreted rather broadly and includes any part of a patient's medical record or payment history.

mHealth Medicine and public health supported by mobile devices

mHealth is an abbreviation for mobile health, a term used for the practice of medicine and public health supported by mobile devices. The term is most commonly used in reference to using mobile communication devices, such as mobile phones, tablet computers and personal digital assistants (PDAs), and wearable devices such as smart watches, for health services, information, and data collection. The mHealth field has emerged as a sub-segment of eHealth, the use of information and communication technology (ICT), such as computers, mobile phones, communications satellite, patient monitors, etc., for health services and information. mHealth applications include the use of mobile devices in collecting community and clinical health data, delivery/sharing of healthcare information for practitioners, researchers and patients, real-time monitoring of patient vital signs, the direct provision of care as well as training and collaboration of health workers.

Fitbit is a line of wireless-enabled wearable technology, physical fitness monitors and activity trackers such as smartwatches, pedometers and monitors for heart rate, quality of sleep, and stairs climbed as well as related software. It operated as an American consumer electronics and fitness company from 2007 to 2021.

<span class="mw-page-title-main">Wearable technology</span> Clothing and accessories incorporating computer and advanced electronic technologies

Wearable technology is any technology that is designed to be used while worn. Common types of wearable technology include smartwatches and smartglasses. Wearable electronic devices are often close to or on the surface of the skin, where they detect, analyze, and transmit information such as vital signs, and/or ambient data and which allow in some cases immediate biofeedback to the wearer.

<span class="mw-page-title-main">Quantified self</span> Movement of people who track themselves with body-related data

Quantified self refers both to the cultural phenomenon of self-tracking with technology and to a community of users and makers of self-tracking tools who share an interest in "self-knowledge through numbers". Quantified self practices overlap with the practice of lifelogging and other trends that incorporate technology and data acquisition into daily life, often with the goal of improving physical, mental, and emotional performance. The widespread adoption in recent years of wearable fitness and sleep trackers such as the Fitbit or the Apple Watch, combined with the increased presence of Internet of things in healthcare and in exercise equipment, have made self-tracking accessible to a large segment of the population.

Withings is a French consumer electronics company headquartered in Issy-les-Moulineaux, France. It also has offices in Boston, Massachusetts, USA, and Hong Kong, and distributes its products worldwide. Withings is known for design and innovation in connected devices, such as the first Wi-Fi scale on the market, an FDA-cleared blood pressure monitor, a smart sleep system, and a line of automatic activity tracking watches. It also provides B2B services for healthcare providers and researchers.

<span class="mw-page-title-main">Nike+ FuelBand</span>

The Nike+ FuelBand was an activity tracker worn on the wrist and compatible with iPhone, iPad, or Android devices.

Digital health is a discipline that includes digital care programs, technologies with health, healthcare, living, and society to enhance the efficiency of healthcare delivery and to make medicine more personalized and precise. It uses information and communication technologies to facilitate understanding of health problems and challenges faced by people receiving medical treatment and social prescribing in more personalised and precise ways. The definitions of digital health and its remits overlap in many ways with those of health and medical informatics.

<span class="mw-page-title-main">Google Fit</span> Health-tracking platform by Google

Google Fit is a health-tracking platform developed by Google for the Android operating system, Wear OS, and iOS. It is a single set of APIs that blends data from multiple apps and devices. Google Fit uses sensors in a user's activity tracker or mobile device to record physical fitness activities, which are measured against the user's fitness goals to provide a comprehensive view of their fitness.

<span class="mw-page-title-main">Xiaomi Mi Band</span> Wearable activity tracker

The Xiaomi Mi Band is a wearable activity tracker produced by Xiaomi, unveiled during a Xiaomi launch event on 22 July 2014. This article is mainly about the original Mi Band; later versions have separate articles.

Digital phenotyping is a multidisciplinary field of science, first defined in a May 2016 paper in JMIR Mental Health authored by John Torous, Mathew V Kiang, Jeanette Lorme, and Jukka-Pekka Onnela as the "moment-by-moment quantification of the individual-level human phenotype in situ using data from personal digital devices." The data can be divided into two subgroups, called active data and passive data, where the former refers to data that requires active input from the users to be generated, whereas passive data, such as sensor data and phone usage patterns, are collected without requiring any active participation from the user.

<span class="mw-page-title-main">Pulse watch</span> Electronic devices

A pulse watch, also known as a pulsometer or pulsograph, is an individual monitoring and measuring device with the ability to measure heart or pulse rate. Detection can occur in real time or can be saved and stored for later review. The pulse watch measures electrocardiography data while the user is performing tasks, whether it be simple daily tasks or intense physical activity. The pulse watch functions without the use of wires and multiple sensors. This makes it useful in health and medical settings where wires and sensors may be an inconvenience. Use of the device is also common in sport and exercise environments where individuals are required to measure and monitor their biometric data.

<span class="mw-page-title-main">Sleep tracking</span> Process of quantitatively measuring a persons sleep

Sleep tracking is the process of monitoring a person's sleep, most commonly through measuring inactivity and movement. A device that tracks a person's sleep is called a sleep tracker. Sleep tracking may be beneficial in diagnosing sleep disorders. As sleep abnormalities are also symptoms of mental illness or relapsing psychotic disorders, it may also be beneficial in diagnosing mental disorders and psychotic disorders as well.

WHOOP is an American wearable technology company headquartered in Boston, Massachusetts. Its principal product is a fitness tracker that measures strain, recovery, and sleep. The device is best known for its use by athletes. The device is often used to keep track of overall health and even detection of illness.

References

  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. "Whistle wearable technology for dogs lets owners monitor pet activity", De Zeen, May 14, 2014.
  3. Jill Duffy, "Whistle Dog Activity Tracker Adds GPS Location Finder", PC Magazine , May 21, 2014.
  4. Heather Zimmerman, "Digital Dog", Metro Silicon Valley, September 24, 2014, p. 17.
  5. 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.
  6. "Olympic Medical Institute Validates Polar RS800 Running Computer And Training System", Polar, November 7, 2006, retrieved February 25, 2014, archived February 25, 2014.
  7. 1 2 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.
  8. 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.
  9. 1 2 Jill Duffy, "The Best Activity Trackers for Fitness", PC Magazine , May 22, 2013.
  10. 1 2 Rheana Murray, "Smartphones become fitness coaches with new wearable activity trackers", New York Daily News , August 16, 2013.
  11. 1 2 3 Dan Holden, "Worn Out: The Dark Side of Wearable Technology", Metro Silicon Valley , September 24, 2014, pp. 16–18.
  12. Danny Sullivan, "The test begins: My life with four activity trackers, fitness bands", CNET, March 28, 2013.
  13. "CES: Track your activity level, get cheaper health insurance?", Stream, Consumer Electronics Show, MarketWatch, The Wall Street Journal , January 10, 2013.
  14. "Tracker shares your habits with work", Technology, BBC News, January 7, 2015 (video).
  15. David Z. Morris, "Forget the iWatch. Headphones are the original wearable tech", Fortune , June 24, 2014.
  16. Nathan Ingraham, "Motiv Crammed a Full Fitness Tracker into a Ring", "Engadget", Jan 3, 2017
  17. Caroline McCarthy, "Work out, get on scale...tell your friends?" Archived 2013-12-10 at the Wayback Machine , CNET, July 21, 2010.
  18. G. F., "Quantified self: Fit, fit, hooray!", Babbage, The Economist , May 24, 2013.
  19. 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.
  20. 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.
  21. "Best Kids' Fitness Trackers of 2017". UNICEF Kid Power. Archived from the original on 22 February 2017. Retrieved 22 February 2017.
  22. 1 2 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.
  23. 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.
  24. 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.
  25. 1 2 3 4 5 Fitnessarmbaender - Nur zwei von zwoelf sind gut, test.de, November 23, 2023.
  26. 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.
  27. 1 2 3 4 5 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.
  28. Sly, Liz (29 January 2018). "U.S. soldiers are revealing sensitive and dangerous information by jogging". The Washington Post . Retrieved 29 January 2018.
  29. 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.
  30. 1 2 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.
  31. 1 2 3 4 5 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.
  32. 1 2 3 4 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.
  33. 1 2 3 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.
  34. 1 2 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.
  35. 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.
  36. 1 2 3 4 5 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.
  37. 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.
  38. 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.

Further reading